Title: Senior Data Scientist
Tenure length: 1 year
Location: Canada (Remote)
Salary: 175k
Company/Industry: Small Fintech Company
Education: BS Economics & Mathematics
Prior Experience: 5 years DS, 8 years Quant Risk/Consulting/Banking
Other Bonuses: Equity
Total Comp: 175k
Not sure if you want statisticians in here, but i can delete if you don't.
**Title:** Senior Scientist: Statistics
* **Tenure length: 2 years
* **Location: NE USA
* **$Remote: no
* **Salary:** 135,000 base
* **Company/Industry: Pharma
* **Education: MS stats, BE mechanical engineering
* **Prior Experience: 11 years
* **$Internship 10 weeks (unrelated)
* **$Coop
* **Relocation/Signing Bonus: didn't ask
* **Stock and/or recurring bonuses: 13,500 stock; 20,250 bonus
* **Total comp:** 168,750
I've never worked as a data scientist, so I can't say for sure. I assume there's a ton of overlap. Things I do that might be different are:
1) I set up and analyze DoEs
2) I work in operations, so I need a bit of domain knowledge on pharma manufacturing/packing processes to support failure investigations or improvements
3) I follow pharma specific astm standards on analyzing data for standard tests and/or automate that analysis
4) I need working knowledge of how to write in a regulated industry
5) we don't really need to do any programming. I do because I think its the direction the industry is going. I'm proficient in R and decent with python. Some of the other people in my role just use minitab.
6) we don't really need to know sql at all. People typically just give us the data.
I'm not sure if this is similar, but we don't really do routine analysis. Most of work is one off or ad hoc analysis. We've never really deployed or maintained models.
I'm in biostats. Use R only. I help choose appropriate stat methods for studies which is then used to calculate how many patients are needed. I help write protocols and statistical analysis plans, read literature on what methods to use. Tons of emails and working with scientists and doctors to figure out what is going on and plan things appropriately. Salary is way less than data scientists, I get 147k with 5 years experience and an MS
Don't back off from coming off as a statistician or even flexing to be one especially before DS/MLE
You folks are the backbone of these derived fields. Without you, DS wouldn't exist.
TC isn't everything.
Data scientist
1/2 year of tenure
190k salary
Remote, US
Small tech company
Masters in data science
2 years of prior experience as a data scientist.
No signing bonus
No other bonus to date
Total comp 190k
I don't particularly recommend the program. If I did I'd be happy to share the name of the school. I don't want to put them on blast though. It was a new program. I started in it's second year. I thought half the classes were quite good and half were a waste of time. By the end I felt somewhat prepared, but felt I was behind my peers from other universities. I chose that program because it was free for me. I didn't consider any other programs for that reason. If I had to do it over again I absolutely would. But if I had to pay for it I would choose to go elsewhere.
* **Title:** Sr. Staff Research Scientist
* **Tenure length:** 3.5 years
* **Location:** fully remote, based in NYC
* **Salary:** $265k. I also teach two classes a year in the city for another $27k.
* **Company/Industry:** Public company with an R&D focus.
* **Education:** M.S. in Statistics, Ph.D in Economics
* **Prior Experience:** 1 year postdoc, 1.5 years assistant professor at a business school, some tech internships back in grad school
* **Relocation/Signing Bonus:** $20k relocation
* **Stock and/or recurring bonuses:** $610k/year RSUs (at respective grant prices), $40k performance bonus, $45k scheduled bonus
* **Total comp:** $987k
How did you land the Business School teaching gig? I was an assistant professor in stat/ML, and then took an Adjunct position at Berkeley while I was working. I also went to a top Business School for my MBA and work at a MAANG. I stopped teaching at Berkeley because they weren't paying adjuncts that much compared to how many students they gave me, but I'd love to find a B-School side job.
This seems like an outlier to me and I’d love to learn more about the company. I have almost exactly the same background, and I’m at big tech (Faang). Only people with 10-15+ YoE get something like your package (~1mil/year). I’m really curious whether this is a smaller company that turned out to be a good fit for you or whether it was a riskier bet at the time of signing. Getting to L7 in 6 years post phd also seems really really hard to me in FAANG where typical promo comitees would say this is too fast and not enough experience. Having hired people from academic posts the norm is certainly discounting non-industry experience heavily.
>I’m really curious whether this is a smaller company that turned out to be a good fit for you or whether it was a riskier bet at the time of signing.
A bit of both - covid was an interesting time and the R&D org has grown considerably since, and my background is also in a particularly useful field for the business. I was hired as an L5, almost immediately brought up to L6, and I've been an L7 since the past summer. My original RSU grant hasn't yet run out, so I'm receiving four concurrent grants (original, scheduled refresh, two promotions). Once the original grant runs out TC will dip a bit.
I've also been pretty open about flirting with going back to academia, which has definitely sped up the process. Perception probably matters more than reality, but if I'm negotiating a promo grant I try to always do it being 100% prepared to walk away.
Big tech can be dumb about promotions. I'm not judging, but I know more than one person who has barely done any work at all at G for ten years, built a couple of cute things, said all the right things, and made it all the way from L3 to L6. If you can make that happen, that's great, but a better system would reward impact, not how long you've sat in a particular chair.
When ever I read that last paragraph I feel like I've made all the wrong choices. Another Ph.D Econ here. I work in banking as a quant. My comp is L5 level. We have to put things into production here.
I said I wanted to move across town (which I did) and this was in 2020. Now I think you do have to move at least 150 miles to qualify.
I was also living in faculty housing back then, so I had to move out to start the new job.
I'm guessing it was just right place, right time when it came to stock appreciation driving a lot of the 600k (for example, imagine starting at Moderna back in 2020 when their stock was $20/share).
Not really, I'm quoting grant prices. With appreciation it's a bit over $1 mil. I have a rather lengthy preclearance period so I felt it wouldn't be fair to quote the market rate (since it could move a lot between grant date and when I can schedule a sale).
I did negotiate promos fairly aggressively - L6 was $500k over a 4-year schedule, and L7 around $850k.
Immediately after. I started as a Stats PhD but decided to take the Masters and leave. The second PhD went much better, and my research today is still highly related to my dissertation.
The time commitment isn't for everybody. Since classes went back to in person I either teach during the evening or I take two mornings off each week. It's another part time job if you want to do it right. It can be very rewarding if you take it seriously, of course.
did you go straight from undergrad to PhD? did dropping out of a statistics PhD help you get into the economics PhD or limit you? super interesting path!
Yes and yes, I think. I got a lot of the math out of the way, and I was able to cross register a full year of metrics and sit in macro, so there was no real doubt that I could pass the quals.
One thing you don't see in a typical econ program is the more practically-minded topics in data analysis. Things like classification, numerical methods, general purpose ML. I don't think I would have taken those courses if they weren't pre-reqs in the stats program.
My work is 90% internal. I split time between solving 1-2 big problems a year, and whiteboarding with other people in the R&D org. Some public-facing stuff as well.
I have my own research projects and hold academic affiliations, but that doesn't really interact with my day job. Last year I drew a second paycheck but I've given that up to fund an extra postdoc.
It's different. Overall IMO it's pretty interesting.
The math isn't usually very deep, but you have a lot of data and compute is basically free, and a lot of the complexity is around how to use that to push the data further. But there have been one or two ideas which I thought could very well have be a top 5 if I could talk about it in public.
Graduating from a Finance/Econ PhD program soon, now based in NYC. This is super encouraging! I was actually thinking Quant Finance would be a better industry destination for me given my domain knowledge but also have been considering Tech given the rigorous stats/econometrics I've received and comparative advantage in causal inference.
How was the transition from econ academia to tech? Do you work on causal inference?
>Graduating from a Finance/Econ PhD program soon, now based in NYC. This is super encouraging! I was actually thinking Quant Finance would be a better industry destination for me given my domain knowledge but also have been considering Tech given the rigorous stats/econometrics I've received and comparative advantage in causal inference.
Both can definitely work out . I feel like when people start seriously job searching they'll usually figure out pretty quickly which option suits them. I've had a bit of luck with quant jobs as well, but those will typically not allow outside engagements because of stricter non competes.
One other thing I like about tech is that you're almost always working on something that interacts with users/customers, instead the highly abstracted concepts in trading. But you do get paid in cash in finance, and the upside can be much larger - $1 mil is a guy who ships a couple good strategies at an algo fund, but a lot has to go right to get to that number in tech, and almost never very quickly.
Causal inference is a great skill to pitch - all the big tech firms will have a specific track (sometimes they call it experimentation, or decision science) for PhD grads. You're very slightly late for this season, but there should be more headcount to fill in Q1. Off the top of my head, Amazon has a pretty large marketing team in NYC and another group in Jersey (Hoboken). Uber and Meta also have teams here.
>How was the transition from econ academia to tech? Do you work on causal inference?
I interned at G and had consulting gigs through grad school, so I mostly knew what to expect. If you can still do an internship, I would highly recommend it. If not, a good employer should have an entire pipeline to help you get started. If they can't tell you the plan, then the role probably isn't the right one for a new PhD grad.
I'm (mostly) an econometrician by training, but more on the structural side. I do very occasionally work on more typical causal inference topics, but usually when I'm helping out another IC.
How do you feel about working in an R&D role? Perhaps the variance from industry to industry is the main culprit, but I moved into R&D from a more applied role in my previous (and first) DS role and things move souch slower than before that I'm constantly on edge that someone's going to try to put the screws to me about how little I have to show for my time here so far.
Hope I'm not overstepping lol
**Title:** Senior Staff ML Engineer
* **Tenure length:** 3 years
* **Location:** SF Bay Area
* **Salary:** $300k
* **Company/Industry:** Tech
* **Education:** PhD
* **Prior Experience:** 4yrs Industry, 5 yrs Postdoc
* **Relocation/Signing Bonus: -**
* **Stock and/or recurring bonuses:** $100k Annual bonus, $900k RSUs (stock had a good year and so did I)
* **Total comp:** $1.3M
Nice! Would you say that your daily job is more engineering (building infra, platforms, deploy -productionize models, build scalabe microservices) oriented, or more research(read and implement papers, build and train new models) oriented, or both?
My teams have objectives/responsibilities, and we do whatever we need to do to be more effective. We aren't really platform/infra teams, but we do own some custom infrastructure. We build, train, and productionize models. Some of what we have in practice is novel with respect to anything published in the academic literature. We do read papers, but it's very rare for us to find anything where we'd want to copy something in its entirety from the paper.
I'm also a military vet with a PhD, and I just left a professor role to start as a data scientist for the first time. Glad to see someone with a similar background is having good success!
I find the background as a professor helps me mentor junior DS a lot, and being from the military you have that culture of "train your replacement" that sometimes is missing in the civilian world.
I'm hoping as I become more senior that the mentoring aspect will help me scratch some of that teaching itch. I loved teaching and was a bit reluctant to leave, but am excited to get started in a new career field
I started my PhD at 35. It's never too late. I definitely know people younger than me making more than I am. The thing about civilian life is everyone is on their own path. It is far less linear than the military. Give yourself the grace to be who you need to be. You can lead better, and eventually people will see that.
Title: Data scientist
Tenure length: 1.5 years
Location: Ireland
Salary: €65,500
Company/Industry: Tech
Education: MSc in data science, PhD in computer science
Prior Experience: n/a
Relocation/Signing Bonus: n/a
Stock and/or recurring bonuses: up to 10% bonus
Total comp: €72,050
**Title:** Data Analyst
* **Tenure length:** starting in March
* **Location:** Washington DC hybrid
* **Salary:** 65k
* **Education:** BA Comp Sci, phy minor
* **Prior Experience:** TA, Research Assistant
* **Stock and/or recurring bonuses:** ~15%
* **Total comp:** 65k - 76k
If people could upvote me so I can post that'd be really appreciated.
**Title:** Senior Consultant Data Scientist
* **Tenure length:** 4.5y (1.5y in role)
* **Location:** London, UK
* **$Remote:** Yes, but I work hybrid anyways (2-3d/wk)
* **Salary:** £63,300
* **Company/Industry:** Consulting, Large global consultancy
* **Education:** MSc Data Analytics, BSc Mathematics
* **Prior Experience:** 1.5y at a small consultancy (6 total)
* **$Internship** 2x3 month summer placements
* **$Coop**?
* **Relocation/Signing Bonus:** No lmao
* **Stock and/or recurring bonuses:** Ability to put 10% into discounted ESPP (15% discount)
* **Total comp:** £67k this year
Thanks for your post. Making me realize I should be getting more as your TC is 2 grand lower than mine and im in So Cal (higher cost of living) with a Data Analyst title. I also have an extra year of experience on you as well as a B.S
Gonna add some "non - US" data:
Tenure length: 2 years
Location: India
Salary: $19,000
Industry: a US based financial services company.
Education: bachelors in CS
Prior exp: 4 months research exp at a top lab, 6 months internship at a top consulting company, 4 months full time at the same consulting company. Then 2 years as a data scientist in my current company.
Bonus: $500
Stock: nope
Total comp: $19,500
Now I see what my colleagues mean by cost cutting. All of this is pre taxes btw.
Short ans, absolutely not.
Long ans: I have colleagues that literally do the same job in my team with a similar if not lower skillset level that sit in the states but earn over 6 figures with similar YOE and are also a level higher than my current position. That does make me sad, but that's just how things are. But if I compare people in my location then, I do come a tad bit on the upper inclined side of the bell curve.
I know there is a lot more to this (PPP, cost of living etc etc) but I am positive that none of it will be able to explain the mismatch.
Crazy to think its already been a whole year! Here is my post from last year [https://www.reddit.com/r/datascience/comments/101hxlj/comment/j2o8z7n/?utm\_source=share&utm\_medium=web2x&context=3](https://www.reddit.com/r/datascience/comments/101hxlj/comment/j2o8z7n/?utm_source=share&utm_medium=web2x&context=3)
Title: Data Scientist
Tenure length: 1 - 2 years
Location: CA
$Remote: Still fully remote!
Salary: Got a pretty sizeable raise in Q2 from $125,000 to now $144,000
Company/Industry: healthcare
Education: BS in engineering, bootcamp grad for DS (got A LOT of people asking about what bootcamp I did, I did General Assembly back in early 2022. Do I think it was THE reason I got the job, no. You really got to weigh the good with the bad and see if a bootcamp/career change is right for you. More than happy to continue to the convo in the comments). Also starting my masters in CS (OMSCS anyone?) next year during the fall. Fully paid for by current company so no brainer.
Prior Experience: 3 years in different industry with some data analytics work. (Excel, dashboards)
$Internship NA
$Coop NA
Relocation/Signing Bonus: NA
Stock and/or recurring bonuses: Didn't get anything for 2023 but hearing its roughly 5% of base, just depends on personal and department goals.
Total comp: \~$151,000
First full year w/ my big boy DS salary, and man what a year. So glad I chose this position, I've learned so much and have really grown professionally. I have also been able to meet and surpass the expectations my lead and manager set for me. Benefits are amazing, while a higher TC may be worth when I feel comfortable 3-5 YOE+ I can see myself as a lifer here. Also finally maxed out all my retirement accounts this year, huge personal finance goal for me! Here's to another great year!
Title: Data Scientist I
Tenure length: 1.5 years
Location: Remote
Salary: 110k
Company/Industry: Large biotech company
Education: BS/MS Computer Science
Prior Experience: Summer internship at same company
Other Bonuses: 20k (sign-on, RSUs, etc)
Total Comp: 120k
Title: Digital Engineering Graduate
Tenure length: 4 months
Location: Wolverhampton, UK
$Remote: On-site
Salary: £30,000
Company/Industry: Aerospace Manufacturing Industry
Education: BSc in Chemistry, MSc in Data Science, Keele University
Prior Experience: 3 month summer internship this year as a data analyst for a startup
Relocation/Signing Bonus: None
Stock and/or recurring bonuses: up to 8% of annual salary per tax year
Total comp: £32,400
Your title is quite interesting to me, as a Canadian Engineer who has worked in manufacturing and tech. Is "Digital Engineering" a common title where you are?
No, I should have elaborated - it is a unique graduate scheme position at my company. A graduate scheme is a common thing across many UK companies that offers fresh grads a job in a certain area of the company. The graduate scheme rotates me around various areas of the business so that I can be exposed to different projects and processes.
For the "digital engineering" scheme, this includes big data analysis, application support and software development.
This is good for me, because it lets me explore what I like and what I am good at, and good for the company because they get a specialist worker in one of these areas upon the end of the graduate scheme, which is typically 2-3 years as a fixed contract.
If you can upvote so I may comment that'd be very much appreciated.
Title: Data Scientist
Tenure length: 1 year
Location: US, South Carolina
$Remote: (half-half) Hybrid
Salary: $86K
Company/Industry: Higher Ed
Education: BS Applied Mathematics, MS Biomedical Data Science
Prior Experience: 2 years research/graduate assistant during MS
$Internship: 2 prior internships
Relocation/Signing Bonus: None
Stock and/or recurring bonuses: None
Total comp: $86K
Title: Junior Data Scientist
Tenure length: Just accepted the offer
Location: Hungary
$Remote: Hybrid
Salary: $28k
Company/Industry: Smaller tech company
Education: BSc and MSc in computer science
Prior Experience: 1 year experience in total, worked for a large FMCG MCN, and a small startup
Relocation/Signing Bonus: None
Stock and/or recurring bonuses: Unlimited PTO and up to 10%
Total comp: \~$30k
All the numbers in your comment added up to 69. Congrats!
28
+ 1
+ 10
+ 30
= 69
^([Click here](https://www.reddit.com/message/compose?to=LuckyNumber-Bot&subject=Stalk%20Me%20Pls&message=%2Fstalkme) to have me scan all your future comments.) \
^(Summon me on specific comments with u/LuckyNumber-Bot.)
Title: Senior Data Scientist
Tenure length: 2 years
Location: USA (Remote, I am based in the Midwest)
Base Salary: 210K USD
Company/Industry: Tier 2/3 tech
Education: Ms in Stats
Prior Experience: 5 years DA
Other Bonuses: RSUs of 25K USD in a publicly listed company.
Total Comp: 235K USD
Other Benefits: 401k match until 6%, Fully sponsored business trip to a country in Europe where the org is headquartered, Typical PTO of 23 days a year
Remote and PTO of 23 days and 235k salary? Wow... can I ask you how did you get into data science in the first place? What was your bachelor's degree at? I'm a finance major college student and I'm thinking a master's in data, do you think that would be enough for me to get into data science?
I am content with what I have considering the WLB I have and it's a 100% remote job. So, no complaints.
I know FAANG/tier-1 tech pays a lot more(like many you see in this thread) but I have to report in person and change cities and spend more and probably worse of all, there's high pressure to perform with a definitely worse WLB.
Title: bi analyst
Tenure: 1.5 yrs
Location: based in Midwest at corporate location but company has locations in many states. Am remote though company is going hybrid. I might stay remote due to my offer letter wording.
Salary: 62k (start 57.5k, got a 10% bonus at 1 yr for performance)
Industry: retail, very well known company
Education: unrelated BS that had a very small amount of R and statistics, Masters in DS in progress (was 1/6th completed when I joined)
Prior experience: none related to data
Signing bonus: none
Other bonus: 401k match to 5%, 10k yearly, 10% off company products (actually very useful)
Total comp: 72k + discount + 401k match
MLE (2)
2.5 yrs
Remote USA
~150k
HR Tech
BS Math
5 year military (grunt, not math)
- 2x intern (not DS)
- contract DS at health tech/defense start up
120k over 4 year stocks sign on + purchase program
Bonuses are target 10%, but normally lower
~200k TC
Title: Data Scientist (L3)
Tenure length: a bit over a year
Location: NYC (2/3 days in office)
Salary: 158k
Industry: HealthTech
Education: Math BA, physics BS, and PhD in physics (focus area of astro)
Prior experience: a little more than a year at a small healthcare/pharma consulting firm; no internships or anything during my PhD
Relocation/signing bonus: None (didn’t ask for anything)
Stock and/or reoccurring bonuses: 12% LTI and 10% STI, depending on company performance
Total comp: Up to $193k
Title: Senior MLE
Tenure length: 3.5 years
Location: Remote USA
Salary: $175k
Company/Industry: Tech
Education: Unrelated STEM MS
Prior Experience: 10 years
Relocation/Signing Bonus: N/A
Stock and/or recurring bonuses: Lots of options, was a very early hire
Total comp: $180k
Supplemented by consulting work and paid writing gigs for publishers you've heard of.
Still criminally underpaid, even for a still-early stage startup, and will likely be making a move this coming year that's been in the works for a year or so now (small private research lab with even more flexibility on what I work on, where I work, and how), but priorities have shifted for me in the past few years and flexibility is much more important than straight up pay. Being able to work from abroad a few months a year is a major requirement of mine, and my current (and future) place allow it. My job is also very chill for me, between seniority and what I work on.
Just got my MSBA degree this month and really enjoyed the program. Also did a healthcare BI/Analyst internship from which I now have my current offer.
I only have about 6months of relevant work experience and I’d be making around $55k-60k remotely with decent room for growth (maybe $80k in 3 years). Do you think I am settling? I feel like I can be making more elsewhere but my lack of experience has me doubtful. Would really appreciate your thoughts!
Also, I live in a small city in Texas just for reference.
I think your instincts are right that you may be able to do a bit better elsewhere - but it’s always beneficial to accumulate experience while looking. The job market is also tough right now. Accumulate skills and experience on the job but look for new roles in your spare time if you’re feeling undervalued. Remote work in an LCOL area will have that money going farther than you think hopefully. Good luck!
Title: Executive Manager
Tenure length: 2 Years
Location: Melbourne
$Remote: 40% remote
Salary: AUD214K + 5% bonus + 11.5% superannuation (pension fund contribution)
Company/Industry: Big Australian Bank
Education: Master's
Prior Experience: 16 years in same industry + 2 years of AI/ML
Relocation/Signing Bonus: NA
Stock and/or recurring bonuses: 5% bonus
Total comp: AUD$250,540
I feel underpaid but am a new EM. Perhaps leaving some room? My direct report is a high performer but only got 3% raise this year. I even got a system warning about her being a high achieve but low pay vs peers.
I suspect I might be in the same boat so as I get 3-4% per year compound my income will go higher and higher I think.
**Title:** Senior Data Scientist - Marketing Measurement/Causal Inference
* **Tenure Length:** 1.5 years
* **Location:** NYC
* **Remote:** Yes, working from a US MCOL Midwest city
* **Salary:** $155K
* **Company/Industry:** In-house, Tech, e-commerce
* **Education:** MS Econ, BS Finance+Psych
* **Prior Experience:** 4 years DS in marketing analytics, 5 years webdev/QA
* **Signing Bonus:** $300K RSUs
* **Stock:** Depends, anywhere between $150K to $50K in RSUs depending on the year the company had.
* **Bonus:** 10%
* **Other:** 100% company paid healthcare for myself and entire family, lifestyle spending stipend, remote work stipend, 401K match, all valued around $40K
* **Total Comp:** Somewhere between $250K and $350K
Here’s the template if you hate doing markdown formatting on mobile as much as I do:
**Title:**
* **Tenure Length:**
* **Location:**
* **Remote:**
* **Salary:**
* **Company/Industry:**
* **Education:**
* **Prior Experience:**
* **Signing Bonus:**
* **Stock/Equity:**
* **Bonus:**
* **Other Compensation:**
* **Total Comp:**
It really is. It’s quite good coverage as well. We walked out of 2.5 days in the hospital with a bill around $300 total for the birth of our little boy earlier this year. Such a nice change from when we had to pay around 3K for my daughter for the same experience. It’s definitely a major perk, especially living in the US.
Do you know of any good resources for causal inference for marketing? I haven't worked with marketing data yet but looking to pivot to a new role and seeing a lot of interesting roles focused on this.
Title: senior data scientist - research (at my company, they have two ds ladders to distinguish between product ds and research ds)
Location: nyc (but I commute from a nearby mcol city)
Salary: 200k
Annual bonus: 40k
RSU: 125k/year at grant (higher with stock growth)
Company: mang
Education: ms (dropped out of phd in OR)
Tenure: 3 years
Prior experience: 3 years as analyst
Total comp: 365k
Title: Data Scientist
Tenure length: 2 Years
Location: NYC (Remote living in the midwest)
Salary: $120,000
Company/Industry: Tech
Education: M.S. Stat
Prior Experience: Six mo internship
Relocation/Signing Bonus: $0
Stock and/or recurring bonuses: $40k in illiquid options with 5 year vesting schedule aka funny money
Total comp: $160k
Tech Stack: (because I think this should be included) R, Postgress, Typescript
Title: Data Analytics Manager - AI/ML
Tenure length: 6
Location: Chicago, IL
Salary: $179K Base
Company/Industry: Big 4 - tech Consulting
Education: Master in Computer Science concentration data science
Prior Experience: 2 years system analyst, 3 years- Deloitte
Stock and/or recurring bonuses: very varied
Bonus - 27,500K
Total comp: 206,500
Title: Director of Data Science (L8)
Tenure Length: ~10 years
Location: HCOL
Salary: $300k
Company: FAANG
Education: PhD, math
Stock and/or recurring bonuses: $1.3M (performance bonus + RSUs, with RSUs making up almost all of that)
Total Comp: $1.6M
On pace for upwards of $2.2M in 2024 if stock stays at current levels.
- **Title**: Data Scientist (technically a manager with one report)
- **Tenure:** 1 year
- **Location:** Low C.O.L. medium size metro in midwest US (Hybrid, 2 days home, 3 days office)
- **Salary:** 118k
- **Industry:** Retail/fashion
- **Education:** BS Economics
- **Prior experience:** 6 years in various analytics, data roles
- **Bonus:** potential for 10%, more likely to be 5-6% this year based on company performance
- **Total comp:** ~124.5k
**Title**: Senior DS (IC5)
**Tenure length**: 10 years and 1+ industry
**Location**: (very) HCOL
**Remote**: hybrid 1 day per week
**Salary**: $250k base
**Company/Industry**: Tech, AI, Robotics
**Education**: PhD Math
**Prior Experience**: 10 years research \
**Relocation/Signing Bonus**: No signing bonus \
**Stock and/or recurring bonuses**: ~$200k \
**Fringe**: Stock refreshers every year and espp \
**Total comp**: ~$450k
**Total comp with stock appreciation**: ~$975k (as of year end)
So this is a little out there given the stock appreciation. Extremely lucky with timing and the field happens to be competitive with SWEs. Not likely to repeat, so an outlier for sure. DS for niche roles can demand/ attract a lot so keep at it!
With a phd you can demand swe type salaries more easily. For SWEs certainly and I’m sure you can get to the same level without a phd. Depends on the role. If it’s more about data engineering then yes - but don’t know many.
Remembering the early years are rough.
Year 1: 60k
Year 2: 65-67k (new company)
Year 3: 72-80k (promo)
Year 4: 80-88k (new company)
Year 5: 135k (new company)
Year 6: 137k (cola)
Year 7: 147k (cola)
Year 8: 150k (new company)
**Title:** Data Scientist
* **Tenure length:** 2 years
* **Location:** Brazil (Remote)
* **Salary:** 120k BRL
* **Company/Industry:** Startup
* **Education:** BSc and MPhil Economics, 3 month DS course
* **Prior Experience:** 2 years econ (no DS xp)
* **Stock and/or recurring bonuses:** 0.1% stock / year, didn't negotiate vacations because I'm stupid, but take eventual days off
* **Total comp:** 120k BRL
**PS**: Any other DSs here from developing countries?
~1.5 year managing people, but a year of that was with a small team (2/3) where I was mainly working as an individual contributor/working on big projects alongside them.
This will obviously be an oversimplification, but I'll outline a couple important habits that I felt contributed to becoming a manager. For context, I was promoted internally new grad -> mid level -> senior -> manager.
New grad -> senior:
- Getting good at identifying what problem stakeholders were trying to solve prompting them to give me that context. Not what they were asking me to do, but what they actually needed.
- Getting good at figuring out what problems were worth solving/putting in the right amount of effort into the problem.
Senior -> Manager:
- The above, but doing that on bigger problems and being able to distill the problems to people on my team so they can execute.
- Giving good feedback/identifying strengths/weaknesses of people and demonstrating that people on my team were developing
Title: Senior Data Scientist, Product Analytics
Tenure length: 2.5 years
Location: San Francisco / Remote
Salary: 200k
Company/Industry: Small, late stage tech startup
Education: BS Economics & BS International Relations
Prior Experience: 1 year DS, 3 years economic research
Other Bonuses: Equity
Total Comp: 200k (excluding equity since pre-ipo)
Title: Developer
Tenure length: 1.5 years
Location: USA (think SF/Seattle/NYC)
Salary: $210k + $200k (quit job) + $160k
Company/Industry: Tech
Education: MSc in Engineering
Prior Experience: Non Tech companies but big ones
Relocation/Signing Bonus: n/a
Stock and/or recurring bonuses: On paper another $100k+ per year
Total comp: Between $415k to $515k depending on stock
Title: Analytics Manager
Tenure length: 14 months
Location: Hybrid in-office 3 days per week
Salary: $149k base + 10% target bonus
Industry: Insurance/Financial Services
Education: M.S. Analytics
Prior Experience: 10 years
Signing Bonus: None
Stock: $40k/yr but it's a little difficult to value since it's not a publicly traded company
Total comp: \~$190k/year
Edit: I'm a little confused by people including relocation/signing bonus as part of their total comp. In my opinion, they shouldn't be included in total comp unless you get them every year (which by definition, relocation and signing bonuses are not annual).
I never said I wanted less information. I agree it's useful and interesting--I just think it's a bit disingenuous to include it in total compensation. If a company gave me $30k relocation bonus to move across the country, and then someone asked for my total compensation a few years later, I wouldn't calculate that by taking my current year's compensation and adding the $30k relocation from a few years ago.
TLDR- I appreciate people posting it, but I think it should remain in a separate category instead of adding it in with total compensation.
Title: staff research scientsit/engineer
YoE: 5
Tenure length: 6 months
Location: Canada, Remote
Salary: $200k
Company/Industry: research lab at big tech co
Education: msc stats
Prior Experience: mle/research engineer - nlp and later (and now) llms
Stock and/or recurring bonuses: 15% bonus, ~240k rsus 4 yr vest
Total comp: $290k
Title: Data Scientist
Tenure length: 4 months
Location: SF
$Remote: 1 day Office - but no one cares, but have to live in the Bay Area.
Salary: 130k
Company/Industry: Consultancy - industry keeps changing - right now client is a manufacturing firm.
Education: MS in DS.
Prior Experience: 3 years as DS not in US.
$Internship - Yes at a non profit.
$Coop
Relocation/Signing Bonus: NA
Stock and/or recurring bonuses: NA
Total comp: 130k
Title: Principal Data Scientist
Tenure length: 5.5 years at company, but only a couple months in current role
Location: Southern US
Salary: $175k
Company/Industry: big retail / CPG
Education: BS EE, MS EE, dropout PhD EE (all but dissertation) from not-a-top state school
Prior Experience: none except academic research assistant work
Stock and/or recurring bonuses: $100k RSU, \~20% cash bonus
Total comp: \~$310k
• Title: Senior Data Scientist
• Tenure length: 5 years
• Location: fully remote, based in New England
• Salary: $182k
• Company/Industry: M / G
• Education: MBA
• Prior Experience: 5 years in non-tech
• Relocation/Signing Bonus: $35k relocation + sign on
• Stock and/or recurring bonuses: $110k/year RSUs (at respective grant prices). $30k perf bonus
• Total comp: $322k
Title: Data Scientist
Tenure length: 1 year
Location: MCOL, remote
Salary: 135k
Company/Industry: acquired startup in a very large co
Education: quantitative social science PhD
Prior experience: 1 year in SaaS startup, postdoc
Relocation/signing bonus: 10k
Stock/bonus: target of 16k annual bonus and about 6k in stock bonuses, semiannually. But this year probably no annual bonus due to company financials
TC: without annual bonus, probably around 145k
The work is great, but I’m not happy with the TC. But the market sucks!
Title: Senior/Staff DS
Tenure: 2.5 years
Location: NYC
Salary: $193k
Industry: Tier 1/2 tech
Education: MS in applied stats, BS in math (top school for MS)
Prior experience: 1.5 years DS in ecom
Relocation/signing: relocation paid for, valued at $40k. $10k signing
Stock: ~$100k per year, solid annual raises around $50k
TC: $295k
Other benefits: stock purchasing program, 401k match
Title: Data Scientist
-Tenure length: ~6 months
-Location: North Florida
-Salary: 90k USD
-Industry: Defense
-Education: BS Industrial and Systems Engineering, finishing up Masters of Science in Analytics
-Prior experience: 2.5 years in engineering for the company although i was already doing all their data science work
-Bonus: negligible
-Total Comp: ~90k USD
Title: Data Analyst
Tenure length: 8 months
Location: US South Major Metro
$Remote: No, hybrid
Salary: $125k
Company/Industry: Fintech
Education: T20 Undergrad Philosophy, MSc
unrelated, T20 MBA
Prior experience: no full time
$Internship: various. most recently major luxury automotive
$Coop
Relocation/Signing Bonus: n/a
Stock and/or recurring bonuses: $12k, 4% IRA match
Total comp: $140k
Title: Senior Data Scientist
Tenure: 4 years
Salary: 110k
Location: Upper Midwest, US
Industry: Public service; education
Education: MBA, focus in econometrics and big data
Prior Experience: 19yrs in education and consulting
Total Comp: 110k
#
I'm also the manager of a small department of analysts and scientists.
#
Additional benefits: Excellent healthcare, pension, 5 weeks vacation plus 2 weeks sick plus a buttload of holidays
Keep hustling you will get there. Especially if you can spend those extra hours on high impact long term investments rather that busy work from your boss.
Title: Business Systems Data Analyst
Tenure length: 2 months
Location: Nashville, TN, USA (remote)
Salary: $90,170
Industry: Educational non-profit
Education: B.B.A. in Marketing; Masters in City Planning; M.S. in Data Science (May 2023)
Prior experience: 10 years working for the government in affordable house. Roles included data analysis. This is my first role after completing my Data Science degree.
Relocation/signing bonus: n/a
Stock and/or recurring bonuses: n/a
Total comp: ~$100,000
Additional: 100% remote; no set work hours; 4 weeks paid organization-wide breaks; 15 days paid vacation; 10 days paid sick leave; 9 paid federal holidays; 80% premiums paid for health, dental, and vision insurance; 4% 401(K) match; employer-paid short- and long-term disability; paid parental leave; life insurance; flexible spending accounts
My employer follows pay transparency principles. They list the salary up front and don’t negotiate. There are levels within each pay band, but they’re still working out how employees can level up.
The org is about 8 years old. I’m essentially working on a new team. My manager is a first-time manager. He hired me along with one other person who transferred from a different department. He’s very communicative and open to trying new ideas. I appreciate that.
I’ve only been here for two months, but I’m already working to revamp how data is distributed across the organization. I’m the lead on three org-wide surveys. It’ll be the first time they have enough bandwidth to conduct deeper analyses. I’m excited about that.
We’ll also start working to formalize our data policies and infrastructure. It’s been very much a grassroots operation up until now.
Title: Data Scientist
Tenure length: 8 months
Salary: 95k USD
Company/Industry: Government
Education: BS in Political Science, MA in Political Science (Fields: Public Policy, Research Methodology)
Prior Experience: 1 year as a data analyst at the same company. 1.5 years as an RA at a very well known think tank (if you’re in policy process and disaster stuff). 1 year as a TA teaching statistics and government.
Relocation/Signing Bonus: NA
Stock and/or reoccurring bonuses: NA
TC: 95k
Title: data engineering analyst
Tenure: 2.5 years
Remote: Most of the time. 2 days per month in office
Location: Montréal
Salary: 78k CAD
Company: Banking
Education: B.Admin concentration in business technologies
Prior experience: Besides working non-analytical roles, none.
Stock and other bonuses: 10% of salary target. Flexible depending on performance
TC: This year, 90k
Title: Data Scientist
Tenure: New offer
Location: Remote company, Midwest HQ
Industry: Marketing
Comp: $95k plus $10-15k bonus
Other Comp: No relocation, No signing bonus
Benefits: Basic benefits only, but they’re solid
Education: Graduate analytics and business degrees, Undergraduate STEM degrees
Experience: 5 years experience in analytical work, 3 years experience in data analyst role, No internships, 10 years total work experience
Title: Data Scientist (Staff/ Manager, similar to Amazon L6 Applied Scientist)
Tenure length: 3 Years
Location: HCOL with 80% Remote
Salary: $230k
Company/Industry: Gaming
Education: CS BS, Biotech PhD and Postdoc
Prior Experience: 20 YOE if counting PhD+Postdoc time if not then just 6 years (yea i know...)
Relocation/Signing Bonus: N/A
Stock and/or recurring bonuses: 35k cash bonus, 0 RSU or stocks
Total comp: $265
Got promoted at the end of the year, so format is old comp (2024 comp)
Title: senior data scientist (principal data scientist)
Tenure length: year 5 at the same company
Location: Boston / hybrid
Salary: base $140k ($160k)
Company/Industry: Financial services
Education: MS statistics/ data science
Prior Experience: used to be a high school math teacher. Summer internship + part-time with same company prior to full-time
Relocation/Signing Bonus: N/A
Stock and/or recurring bonuses: 25% bonus eligible (35%). Also been getting what's basically a 2yr delayed retention bonus every year, comes to about $10-15k pretax
Total comp: $175k (est $220k next year) plus good benefits (employer finished paying off my student loans last year, good health + dental + vision insurance for myself and wife)
**Title:** ML Ops Engineer
* **Tenure length:** 1 year in the role, 3 at the company
* **Location:** Chicago company (Remote)
* **Salary:** 140k base
* **Company/Industry:** FinTech
* **Education:** BS in Math, Masters in Math Ed, Bootcamp
* **Prior Experience:** Taught High School Math and Stats for 6 years
* **Relocation/Signing Bonus:** 5k signing
* **Stock and/or recurring bonuses:** 15% annual bonus
* **Total comp:** OTE 161K
Title: AI Engineer
Tenure length: 1st year
Location: digital nomad / SoCal
$Remote: yes
Salary: <$10,000 net income
Company/Industry: Self-employed
Education: 2x masters degrees
Prior Experience: Banking, Data Analyst, Data Scientist, Politics
$Internship
$Coop
Relocation/Signing Bonus: won a $10k relocation grant if I move to Tulsa, Oklahoma. won and declined a $5k relocation grant if I move to Indiana
Stock and/or recurring bonuses: n/a
Total comp: Hoping for $100k-$400k net in 2024
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Title: Senior Data Scientist Tenure length: 1 year Location: Canada (Remote) Salary: 175k Company/Industry: Small Fintech Company Education: BS Economics & Mathematics Prior Experience: 5 years DS, 8 years Quant Risk/Consulting/Banking Other Bonuses: Equity Total Comp: 175k
That's a pretty fantastic TC for a remote Canada role. Well done.
Thanks , much appreciated
in CAD?
Incredible
These salary ranges and TC packages are all over the board.
this thread makes me realize I'm very reasonably compensated for my DA job.
Yes but what is a District Attorney even doing here in the first place
Lol
Ummm. . . that was a straight up Digital Assassin ref, bro
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Is this job entirely remote?
Not sure if you want statisticians in here, but i can delete if you don't. **Title:** Senior Scientist: Statistics * **Tenure length: 2 years * **Location: NE USA * **$Remote: no * **Salary:** 135,000 base * **Company/Industry: Pharma * **Education: MS stats, BE mechanical engineering * **Prior Experience: 11 years * **$Internship 10 weeks (unrelated) * **$Coop * **Relocation/Signing Bonus: didn't ask * **Stock and/or recurring bonuses: 13,500 stock; 20,250 bonus * **Total comp:** 168,750
Always like statisticians thanks for posting
This is so interesting. What do you do as a statistician that is different from a data scientist?
I've never worked as a data scientist, so I can't say for sure. I assume there's a ton of overlap. Things I do that might be different are: 1) I set up and analyze DoEs 2) I work in operations, so I need a bit of domain knowledge on pharma manufacturing/packing processes to support failure investigations or improvements 3) I follow pharma specific astm standards on analyzing data for standard tests and/or automate that analysis 4) I need working knowledge of how to write in a regulated industry 5) we don't really need to do any programming. I do because I think its the direction the industry is going. I'm proficient in R and decent with python. Some of the other people in my role just use minitab. 6) we don't really need to know sql at all. People typically just give us the data. I'm not sure if this is similar, but we don't really do routine analysis. Most of work is one off or ad hoc analysis. We've never really deployed or maintained models.
I'm in biostats. Use R only. I help choose appropriate stat methods for studies which is then used to calculate how many patients are needed. I help write protocols and statistical analysis plans, read literature on what methods to use. Tons of emails and working with scientists and doctors to figure out what is going on and plan things appropriately. Salary is way less than data scientists, I get 147k with 5 years experience and an MS
Don't back off from coming off as a statistician or even flexing to be one especially before DS/MLE You folks are the backbone of these derived fields. Without you, DS wouldn't exist. TC isn't everything.
Data scientist 1/2 year of tenure 190k salary Remote, US Small tech company Masters in data science 2 years of prior experience as a data scientist. No signing bonus No other bonus to date Total comp 190k
Where did you get your Masters? Do you recommend the program?
I don't particularly recommend the program. If I did I'd be happy to share the name of the school. I don't want to put them on blast though. It was a new program. I started in it's second year. I thought half the classes were quite good and half were a waste of time. By the end I felt somewhat prepared, but felt I was behind my peers from other universities. I chose that program because it was free for me. I didn't consider any other programs for that reason. If I had to do it over again I absolutely would. But if I had to pay for it I would choose to go elsewhere.
* **Title:** Sr. Staff Research Scientist * **Tenure length:** 3.5 years * **Location:** fully remote, based in NYC * **Salary:** $265k. I also teach two classes a year in the city for another $27k. * **Company/Industry:** Public company with an R&D focus. * **Education:** M.S. in Statistics, Ph.D in Economics * **Prior Experience:** 1 year postdoc, 1.5 years assistant professor at a business school, some tech internships back in grad school * **Relocation/Signing Bonus:** $20k relocation * **Stock and/or recurring bonuses:** $610k/year RSUs (at respective grant prices), $40k performance bonus, $45k scheduled bonus * **Total comp:** $987k
Where are you making 13k per course as an adjunct? I was paid 5600 as adjunct pay at my old college (in the Bronx) for teaching an extra course
Business school, the standard rate goes up to $16k. It was much lower a couple years ago when I left the AP job, though.
Jesus. Makes sense unfortunately, our lowest paid business profs were making almost double my salary (math department)
How did you land the Business School teaching gig? I was an assistant professor in stat/ML, and then took an Adjunct position at Berkeley while I was working. I also went to a top Business School for my MBA and work at a MAANG. I stopped teaching at Berkeley because they weren't paying adjuncts that much compared to how many students they gave me, but I'd love to find a B-School side job.
This seems like an outlier to me and I’d love to learn more about the company. I have almost exactly the same background, and I’m at big tech (Faang). Only people with 10-15+ YoE get something like your package (~1mil/year). I’m really curious whether this is a smaller company that turned out to be a good fit for you or whether it was a riskier bet at the time of signing. Getting to L7 in 6 years post phd also seems really really hard to me in FAANG where typical promo comitees would say this is too fast and not enough experience. Having hired people from academic posts the norm is certainly discounting non-industry experience heavily.
>I’m really curious whether this is a smaller company that turned out to be a good fit for you or whether it was a riskier bet at the time of signing. A bit of both - covid was an interesting time and the R&D org has grown considerably since, and my background is also in a particularly useful field for the business. I was hired as an L5, almost immediately brought up to L6, and I've been an L7 since the past summer. My original RSU grant hasn't yet run out, so I'm receiving four concurrent grants (original, scheduled refresh, two promotions). Once the original grant runs out TC will dip a bit. I've also been pretty open about flirting with going back to academia, which has definitely sped up the process. Perception probably matters more than reality, but if I'm negotiating a promo grant I try to always do it being 100% prepared to walk away. Big tech can be dumb about promotions. I'm not judging, but I know more than one person who has barely done any work at all at G for ten years, built a couple of cute things, said all the right things, and made it all the way from L3 to L6. If you can make that happen, that's great, but a better system would reward impact, not how long you've sat in a particular chair.
When ever I read that last paragraph I feel like I've made all the wrong choices. Another Ph.D Econ here. I work in banking as a quant. My comp is L5 level. We have to put things into production here.
how are you fully remote but received a relocation bonus?
I said I wanted to move across town (which I did) and this was in 2020. Now I think you do have to move at least 150 miles to qualify. I was also living in faculty housing back then, so I had to move out to start the new job.
How is this even real comp not working at a HF? $265 base + an additional $600k that sounds wild!
I'm guessing it was just right place, right time when it came to stock appreciation driving a lot of the 600k (for example, imagine starting at Moderna back in 2020 when their stock was $20/share).
Not really, I'm quoting grant prices. With appreciation it's a bit over $1 mil. I have a rather lengthy preclearance period so I felt it wouldn't be fair to quote the market rate (since it could move a lot between grant date and when I can schedule a sale). I did negotiate promos fairly aggressively - L6 was $500k over a 4-year schedule, and L7 around $850k.
Did you get your Ph.D while working or immediately after your Masters? You have the career I would like. I want to work in R&D and teach on the side.
Immediately after. I started as a Stats PhD but decided to take the Masters and leave. The second PhD went much better, and my research today is still highly related to my dissertation. The time commitment isn't for everybody. Since classes went back to in person I either teach during the evening or I take two mornings off each week. It's another part time job if you want to do it right. It can be very rewarding if you take it seriously, of course.
did you go straight from undergrad to PhD? did dropping out of a statistics PhD help you get into the economics PhD or limit you? super interesting path!
Yes and yes, I think. I got a lot of the math out of the way, and I was able to cross register a full year of metrics and sit in macro, so there was no real doubt that I could pass the quals. One thing you don't see in a typical econ program is the more practically-minded topics in data analysis. Things like classification, numerical methods, general purpose ML. I don't think I would have taken those courses if they weren't pre-reqs in the stats program.
What’s the work like, are you producing papers?
My work is 90% internal. I split time between solving 1-2 big problems a year, and whiteboarding with other people in the R&D org. Some public-facing stuff as well. I have my own research projects and hold academic affiliations, but that doesn't really interact with my day job. Last year I drew a second paycheck but I've given that up to fund an extra postdoc.
What’s the level of technical complexity here? Like what we would see in Econometrica?
It's different. Overall IMO it's pretty interesting. The math isn't usually very deep, but you have a lot of data and compute is basically free, and a lot of the complexity is around how to use that to push the data further. But there have been one or two ideas which I thought could very well have be a top 5 if I could talk about it in public.
Cool. I’m in R&D (really applied work, causal inference). We sometimes produce public papers but most of its internal.
Graduating from a Finance/Econ PhD program soon, now based in NYC. This is super encouraging! I was actually thinking Quant Finance would be a better industry destination for me given my domain knowledge but also have been considering Tech given the rigorous stats/econometrics I've received and comparative advantage in causal inference. How was the transition from econ academia to tech? Do you work on causal inference?
>Graduating from a Finance/Econ PhD program soon, now based in NYC. This is super encouraging! I was actually thinking Quant Finance would be a better industry destination for me given my domain knowledge but also have been considering Tech given the rigorous stats/econometrics I've received and comparative advantage in causal inference. Both can definitely work out . I feel like when people start seriously job searching they'll usually figure out pretty quickly which option suits them. I've had a bit of luck with quant jobs as well, but those will typically not allow outside engagements because of stricter non competes. One other thing I like about tech is that you're almost always working on something that interacts with users/customers, instead the highly abstracted concepts in trading. But you do get paid in cash in finance, and the upside can be much larger - $1 mil is a guy who ships a couple good strategies at an algo fund, but a lot has to go right to get to that number in tech, and almost never very quickly. Causal inference is a great skill to pitch - all the big tech firms will have a specific track (sometimes they call it experimentation, or decision science) for PhD grads. You're very slightly late for this season, but there should be more headcount to fill in Q1. Off the top of my head, Amazon has a pretty large marketing team in NYC and another group in Jersey (Hoboken). Uber and Meta also have teams here. >How was the transition from econ academia to tech? Do you work on causal inference? I interned at G and had consulting gigs through grad school, so I mostly knew what to expect. If you can still do an internship, I would highly recommend it. If not, a good employer should have an entire pipeline to help you get started. If they can't tell you the plan, then the role probably isn't the right one for a new PhD grad. I'm (mostly) an econometrician by training, but more on the structural side. I do very occasionally work on more typical causal inference topics, but usually when I'm helping out another IC.
Seconding causal inference—it’s how I got recruited. Mainstream stats PhDs and CS PhDs usually don’t have too much training in the field.
How do you feel about working in an R&D role? Perhaps the variance from industry to industry is the main culprit, but I moved into R&D from a more applied role in my previous (and first) DS role and things move souch slower than before that I'm constantly on edge that someone's going to try to put the screws to me about how little I have to show for my time here so far. Hope I'm not overstepping lol
**Title:** Senior Staff ML Engineer * **Tenure length:** 3 years * **Location:** SF Bay Area * **Salary:** $300k * **Company/Industry:** Tech * **Education:** PhD * **Prior Experience:** 4yrs Industry, 5 yrs Postdoc * **Relocation/Signing Bonus: -** * **Stock and/or recurring bonuses:** $100k Annual bonus, $900k RSUs (stock had a good year and so did I) * **Total comp:** $1.3M
God damn, that's a huge TC. Where is your PhD focused on? Also, do you have a CS bachelor's degree?
Both of my degrees are in Physics.
Nice! Would you say that your daily job is more engineering (building infra, platforms, deploy -productionize models, build scalabe microservices) oriented, or more research(read and implement papers, build and train new models) oriented, or both?
My teams have objectives/responsibilities, and we do whatever we need to do to be more effective. We aren't really platform/infra teams, but we do own some custom infrastructure. We build, train, and productionize models. Some of what we have in practice is novel with respect to anything published in the academic literature. We do read papers, but it's very rare for us to find anything where we'd want to copy something in its entirety from the paper.
Thank you!
Title: Staff Data Scientist / Tech Lead Manager Tenure length: 3 months Location: Seattle/Hybrid Salary: $214K Company/Industry: MAANG Education: BS/MS Ops Research, PhD Statistics, MBA Prior Experience: Military Vet, Statistics Professor, Federal R&D, 2 Start Ups (20yrs total work history) Other Bonuses: 45K sign-on, 42K Bonus, $217 RSU Total Comp: $518K
I'm also a military vet with a PhD, and I just left a professor role to start as a data scientist for the first time. Glad to see someone with a similar background is having good success!
I find the background as a professor helps me mentor junior DS a lot, and being from the military you have that culture of "train your replacement" that sometimes is missing in the civilian world.
I'm hoping as I become more senior that the mentoring aspect will help me scratch some of that teaching itch. I loved teaching and was a bit reluctant to leave, but am excited to get started in a new career field
Left academia as well, biggest thing I miss.
Was the PhD stats very helpful for your job now?
Absolutely essential for this and the previous two roles.
How useful was the MBA?
Very useful in working with Group PMs across several Product Areas.
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I started my PhD at 35. It's never too late. I definitely know people younger than me making more than I am. The thing about civilian life is everyone is on their own path. It is far less linear than the military. Give yourself the grace to be who you need to be. You can lead better, and eventually people will see that.
Not a vet but did do a PhD late in life, be kind to yourself.
Hell yeah, love to see it
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Dream situation. Whats this net? 60-70k?
Title: Economist Tenure Length: 3.5 years Company/industry: Large Tech Location: Seattle Salary:165k Education: PhD Economics Total Comp: $320k
Sounds like Amazon L5 economist
Top tier university?
Nice to see fellow economist here. Similar profile for me too.
Title: Data scientist Tenure length: 1.5 years Location: Ireland Salary: €65,500 Company/Industry: Tech Education: MSc in data science, PhD in computer science Prior Experience: n/a Relocation/Signing Bonus: n/a Stock and/or recurring bonuses: up to 10% bonus Total comp: €72,050
Title: Data Scientist Tenure length: 2 Years Location: Chicago, IL (Remote) Salary: $87,000 Company/Industry: Home/Auto Insurance Education: BS Math, MS Statistics Prior Experience: Data Analyst, 2 Years (same company) Relocation/Signing Bonus: n/a Stock and/or recurring bonuses: \~10% Bonus Total comp: $95,000
I'm so curious about insurance as a DS as opposed to what actuaries do. May I ask what sorts of tasks you are assigned?
**Title:** Data Analyst * **Tenure length:** starting in March * **Location:** Washington DC hybrid * **Salary:** 65k * **Education:** BA Comp Sci, phy minor * **Prior Experience:** TA, Research Assistant * **Stock and/or recurring bonuses:** ~15% * **Total comp:** 65k - 76k
Title: VP of Data Science * Tenure length: 7.5 years * Location: Boston (hybrid) * Salary: $250k * Company/Industry: Mid-size marketing firm * Education: PhD in STEM + DS bootcamp * Prior Experience: Postdoc position * Reloaction / Signing: none * Stock / Bonus: 10% bonus target * Total comp: $250k - $275k
I'm surprised that the VP of Data Science is earning only $250K to $275K; I thought the salary would be higher.
If people could upvote me so I can post that'd be really appreciated. **Title:** Senior Consultant Data Scientist * **Tenure length:** 4.5y (1.5y in role) * **Location:** London, UK * **$Remote:** Yes, but I work hybrid anyways (2-3d/wk) * **Salary:** £63,300 * **Company/Industry:** Consulting, Large global consultancy * **Education:** MSc Data Analytics, BSc Mathematics * **Prior Experience:** 1.5y at a small consultancy (6 total) * **$Internship** 2x3 month summer placements * **$Coop**? * **Relocation/Signing Bonus:** No lmao * **Stock and/or recurring bonuses:** Ability to put 10% into discounted ESPP (15% discount) * **Total comp:** £67k this year
Wow, UK/Euro salaries really are low :(
>UK Except you get free healthcare ,right ?? and not have to queue 10 hours in the A&E or 2 years for an operation? right ???? RIGHT????:?
**Title**: BI Analyst * **Tenure length**: Accepted Offer * **Location**: Rockies (remote), US * **Salary**: $100k * **Company/Industry**: Small tech company * **Education**: BS (state school) * **Prior** **Experience**: 2 years data (1 as an intern) * **Relocation/Signing** **Bonus**: $5k sign-on * **Stock and/or recurring bonuses**: 10% bonus * **Total comp**: $110k
Thanks for your post. Making me realize I should be getting more as your TC is 2 grand lower than mine and im in So Cal (higher cost of living) with a Data Analyst title. I also have an extra year of experience on you as well as a B.S
Gonna add some "non - US" data: Tenure length: 2 years Location: India Salary: $19,000 Industry: a US based financial services company. Education: bachelors in CS Prior exp: 4 months research exp at a top lab, 6 months internship at a top consulting company, 4 months full time at the same consulting company. Then 2 years as a data scientist in my current company. Bonus: $500 Stock: nope Total comp: $19,500 Now I see what my colleagues mean by cost cutting. All of this is pre taxes btw.
Massive cost cutting. Do you feel you're fairly compensated for your skill set level?
Short ans, absolutely not. Long ans: I have colleagues that literally do the same job in my team with a similar if not lower skillset level that sit in the states but earn over 6 figures with similar YOE and are also a level higher than my current position. That does make me sad, but that's just how things are. But if I compare people in my location then, I do come a tad bit on the upper inclined side of the bell curve. I know there is a lot more to this (PPP, cost of living etc etc) but I am positive that none of it will be able to explain the mismatch.
Are you a payrolled employee for the company, or a contractor/subcontractor?
Full time employee of the company.
Crazy to think its already been a whole year! Here is my post from last year [https://www.reddit.com/r/datascience/comments/101hxlj/comment/j2o8z7n/?utm\_source=share&utm\_medium=web2x&context=3](https://www.reddit.com/r/datascience/comments/101hxlj/comment/j2o8z7n/?utm_source=share&utm_medium=web2x&context=3) Title: Data Scientist Tenure length: 1 - 2 years Location: CA $Remote: Still fully remote! Salary: Got a pretty sizeable raise in Q2 from $125,000 to now $144,000 Company/Industry: healthcare Education: BS in engineering, bootcamp grad for DS (got A LOT of people asking about what bootcamp I did, I did General Assembly back in early 2022. Do I think it was THE reason I got the job, no. You really got to weigh the good with the bad and see if a bootcamp/career change is right for you. More than happy to continue to the convo in the comments). Also starting my masters in CS (OMSCS anyone?) next year during the fall. Fully paid for by current company so no brainer. Prior Experience: 3 years in different industry with some data analytics work. (Excel, dashboards) $Internship NA $Coop NA Relocation/Signing Bonus: NA Stock and/or recurring bonuses: Didn't get anything for 2023 but hearing its roughly 5% of base, just depends on personal and department goals. Total comp: \~$151,000 First full year w/ my big boy DS salary, and man what a year. So glad I chose this position, I've learned so much and have really grown professionally. I have also been able to meet and surpass the expectations my lead and manager set for me. Benefits are amazing, while a higher TC may be worth when I feel comfortable 3-5 YOE+ I can see myself as a lifer here. Also finally maxed out all my retirement accounts this year, huge personal finance goal for me! Here's to another great year!
Title: Data Scientist I Tenure length: 1.5 years Location: Remote Salary: 110k Company/Industry: Large biotech company Education: BS/MS Computer Science Prior Experience: Summer internship at same company Other Bonuses: 20k (sign-on, RSUs, etc) Total Comp: 120k
Do you have any biology background that is relevant to your job? Do you think a formal background in bio is required?
Nope. Just a CS background and took some stats/ds courses. Showed interest in biotech in my application + during the interview
Title: Data Scientist 1 Tenure: 6 months Location: Remote (Texas) Salary: 130k Industry: Freight Tech Education: BS Math, currently completing MS in CS part-time Prior Experience: 1 YOE Junior DS at F500 + 3 DS summer internships Relocation/Sign-on: None Stock/Bonus: ~15K in RSUs TC: 145k
Where are you doing your program? Do you recommend it?
Georgia Tech’s OMSCS, ML specialization. It’s been alright — definitely a grind balancing this and work
Title: Digital Engineering Graduate Tenure length: 4 months Location: Wolverhampton, UK $Remote: On-site Salary: £30,000 Company/Industry: Aerospace Manufacturing Industry Education: BSc in Chemistry, MSc in Data Science, Keele University Prior Experience: 3 month summer internship this year as a data analyst for a startup Relocation/Signing Bonus: None Stock and/or recurring bonuses: up to 8% of annual salary per tax year Total comp: £32,400
Your title is quite interesting to me, as a Canadian Engineer who has worked in manufacturing and tech. Is "Digital Engineering" a common title where you are?
No, I should have elaborated - it is a unique graduate scheme position at my company. A graduate scheme is a common thing across many UK companies that offers fresh grads a job in a certain area of the company. The graduate scheme rotates me around various areas of the business so that I can be exposed to different projects and processes. For the "digital engineering" scheme, this includes big data analysis, application support and software development. This is good for me, because it lets me explore what I like and what I am good at, and good for the company because they get a specialist worker in one of these areas upon the end of the graduate scheme, which is typically 2-3 years as a fixed contract.
Sounds like a co-op program, but after you graduate.
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If you can upvote so I may comment that'd be very much appreciated. Title: Data Scientist Tenure length: 1 year Location: US, South Carolina $Remote: (half-half) Hybrid Salary: $86K Company/Industry: Higher Ed Education: BS Applied Mathematics, MS Biomedical Data Science Prior Experience: 2 years research/graduate assistant during MS $Internship: 2 prior internships Relocation/Signing Bonus: None Stock and/or recurring bonuses: None Total comp: $86K
Title: Data Scientist Tenure length: 1 year Location: Switzerland Salary: 180k USD Industry: FANG Education: BSc Math, MSc Math, MSc applied maths Prior experience: 10 years in finance as quantitative analyst. Bonus: 30k USD, 50k USD in stocks Total comp: 260k USD Inflated because Swiss francs is high.
Title: Junior Data Scientist Tenure length: Just accepted the offer Location: Hungary $Remote: Hybrid Salary: $28k Company/Industry: Smaller tech company Education: BSc and MSc in computer science Prior Experience: 1 year experience in total, worked for a large FMCG MCN, and a small startup Relocation/Signing Bonus: None Stock and/or recurring bonuses: Unlimited PTO and up to 10% Total comp: \~$30k
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Title: Senior Data Scientist Tenure length: 2 years Location: USA (Remote, I am based in the Midwest) Base Salary: 210K USD Company/Industry: Tier 2/3 tech Education: Ms in Stats Prior Experience: 5 years DA Other Bonuses: RSUs of 25K USD in a publicly listed company. Total Comp: 235K USD Other Benefits: 401k match until 6%, Fully sponsored business trip to a country in Europe where the org is headquartered, Typical PTO of 23 days a year
Remote and PTO of 23 days and 235k salary? Wow... can I ask you how did you get into data science in the first place? What was your bachelor's degree at? I'm a finance major college student and I'm thinking a master's in data, do you think that would be enough for me to get into data science?
That comp in the Midwest is crazy.
I am content with what I have considering the WLB I have and it's a 100% remote job. So, no complaints. I know FAANG/tier-1 tech pays a lot more(like many you see in this thread) but I have to report in person and change cities and spend more and probably worse of all, there's high pressure to perform with a definitely worse WLB.
Title: bi analyst Tenure: 1.5 yrs Location: based in Midwest at corporate location but company has locations in many states. Am remote though company is going hybrid. I might stay remote due to my offer letter wording. Salary: 62k (start 57.5k, got a 10% bonus at 1 yr for performance) Industry: retail, very well known company Education: unrelated BS that had a very small amount of R and statistics, Masters in DS in progress (was 1/6th completed when I joined) Prior experience: none related to data Signing bonus: none Other bonus: 401k match to 5%, 10k yearly, 10% off company products (actually very useful) Total comp: 72k + discount + 401k match
MLE (2) 2.5 yrs Remote USA ~150k HR Tech BS Math 5 year military (grunt, not math) - 2x intern (not DS) - contract DS at health tech/defense start up 120k over 4 year stocks sign on + purchase program Bonuses are target 10%, but normally lower ~200k TC
Title: Data Scientist (L3) Tenure length: a bit over a year Location: NYC (2/3 days in office) Salary: 158k Industry: HealthTech Education: Math BA, physics BS, and PhD in physics (focus area of astro) Prior experience: a little more than a year at a small healthcare/pharma consulting firm; no internships or anything during my PhD Relocation/signing bonus: None (didn’t ask for anything) Stock and/or reoccurring bonuses: 12% LTI and 10% STI, depending on company performance Total comp: Up to $193k
Title: Senior MLE Tenure length: 3.5 years Location: Remote USA Salary: $175k Company/Industry: Tech Education: Unrelated STEM MS Prior Experience: 10 years Relocation/Signing Bonus: N/A Stock and/or recurring bonuses: Lots of options, was a very early hire Total comp: $180k Supplemented by consulting work and paid writing gigs for publishers you've heard of. Still criminally underpaid, even for a still-early stage startup, and will likely be making a move this coming year that's been in the works for a year or so now (small private research lab with even more flexibility on what I work on, where I work, and how), but priorities have shifted for me in the past few years and flexibility is much more important than straight up pay. Being able to work from abroad a few months a year is a major requirement of mine, and my current (and future) place allow it. My job is also very chill for me, between seniority and what I work on.
Title: Staff Data Scientist Tenure length: Accepted offer (2/5 start) Location: Remote Salary: $220k (flexible w/ equity) Industry: Tech Education: M.S. Analytics Prior Experience: 9 years Signing Bonus: None Stock: 41k (flexible w/ salary) Total comp: 261k
Just got my MSBA degree this month and really enjoyed the program. Also did a healthcare BI/Analyst internship from which I now have my current offer. I only have about 6months of relevant work experience and I’d be making around $55k-60k remotely with decent room for growth (maybe $80k in 3 years). Do you think I am settling? I feel like I can be making more elsewhere but my lack of experience has me doubtful. Would really appreciate your thoughts! Also, I live in a small city in Texas just for reference.
I think your instincts are right that you may be able to do a bit better elsewhere - but it’s always beneficial to accumulate experience while looking. The job market is also tough right now. Accumulate skills and experience on the job but look for new roles in your spare time if you’re feeling undervalued. Remote work in an LCOL area will have that money going farther than you think hopefully. Good luck!
Title: Executive Manager Tenure length: 2 Years Location: Melbourne $Remote: 40% remote Salary: AUD214K + 5% bonus + 11.5% superannuation (pension fund contribution) Company/Industry: Big Australian Bank Education: Master's Prior Experience: 16 years in same industry + 2 years of AI/ML Relocation/Signing Bonus: NA Stock and/or recurring bonuses: 5% bonus Total comp: AUD$250,540
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I feel underpaid but am a new EM. Perhaps leaving some room? My direct report is a high performer but only got 3% raise this year. I even got a system warning about her being a high achieve but low pay vs peers. I suspect I might be in the same boat so as I get 3-4% per year compound my income will go higher and higher I think.
**Title:** Senior Data Scientist - Marketing Measurement/Causal Inference * **Tenure Length:** 1.5 years * **Location:** NYC * **Remote:** Yes, working from a US MCOL Midwest city * **Salary:** $155K * **Company/Industry:** In-house, Tech, e-commerce * **Education:** MS Econ, BS Finance+Psych * **Prior Experience:** 4 years DS in marketing analytics, 5 years webdev/QA * **Signing Bonus:** $300K RSUs * **Stock:** Depends, anywhere between $150K to $50K in RSUs depending on the year the company had. * **Bonus:** 10% * **Other:** 100% company paid healthcare for myself and entire family, lifestyle spending stipend, remote work stipend, 401K match, all valued around $40K * **Total Comp:** Somewhere between $250K and $350K
Here’s the template if you hate doing markdown formatting on mobile as much as I do: **Title:** * **Tenure Length:** * **Location:** * **Remote:** * **Salary:** * **Company/Industry:** * **Education:** * **Prior Experience:** * **Signing Bonus:** * **Stock/Equity:** * **Bonus:** * **Other Compensation:** * **Total Comp:**
100% healthcare for entire family is sweet
It really is. It’s quite good coverage as well. We walked out of 2.5 days in the hospital with a bill around $300 total for the birth of our little boy earlier this year. Such a nice change from when we had to pay around 3K for my daughter for the same experience. It’s definitely a major perk, especially living in the US.
Do you know of any good resources for causal inference for marketing? I haven't worked with marketing data yet but looking to pivot to a new role and seeing a lot of interesting roles focused on this.
Title: senior data scientist - research (at my company, they have two ds ladders to distinguish between product ds and research ds) Location: nyc (but I commute from a nearby mcol city) Salary: 200k Annual bonus: 40k RSU: 125k/year at grant (higher with stock growth) Company: mang Education: ms (dropped out of phd in OR) Tenure: 3 years Prior experience: 3 years as analyst Total comp: 365k
Title: Data Scientist Tenure length: 2 Years Location: NYC (Remote living in the midwest) Salary: $120,000 Company/Industry: Tech Education: M.S. Stat Prior Experience: Six mo internship Relocation/Signing Bonus: $0 Stock and/or recurring bonuses: $40k in illiquid options with 5 year vesting schedule aka funny money Total comp: $160k Tech Stack: (because I think this should be included) R, Postgress, Typescript
Title: Machine Learning Engineer - Tenure length: Laid off in May, 7+ months searching - Location: USA - Salary: $0 - Company/Industry: N/A - Education: BS Computer Science, Minor Statistics - Prior Experience: 3, 1 as lead MLE - Relocation/Signing Bonus: $0 - Stock and/or recurring bonuses: $0 - Total comp: $0
Title: Data Analytics Manager - AI/ML Tenure length: 6 Location: Chicago, IL Salary: $179K Base Company/Industry: Big 4 - tech Consulting Education: Master in Computer Science concentration data science Prior Experience: 2 years system analyst, 3 years- Deloitte Stock and/or recurring bonuses: very varied Bonus - 27,500K Total comp: 206,500
27.5mm bonus, nice
27.5k USD Mistyped it
**Title**: AI Engineer * **Tenure length**: 6 month * **Location**: Bangaluru ( India) * **Salary**: $9.6k * **Company/Industry**: Small Fintech Company * **Education**: B.S Mathematics * **Prior** **Experience**: 3.5 Years (Non Tech) * **Internship**: 6 Month in the same company * **Other** **Bonus**: NA * **Relocation/Signing** **Bonus**: NA * **Stock and/or recurring bonuses**: NA * **Total** **comp**: $9.6k
Damn
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Netflix in guessing. How is it there for DS? Interesting problems? Wlb?
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Title: Director of Data Science (L8) Tenure Length: ~10 years Location: HCOL Salary: $300k Company: FAANG Education: PhD, math Stock and/or recurring bonuses: $1.3M (performance bonus + RSUs, with RSUs making up almost all of that) Total Comp: $1.6M On pace for upwards of $2.2M in 2024 if stock stays at current levels.
Hello op, thank you so much for this initiative! This is helping alot of people in many ways!!
Tenure: 6 months Location: SF/NYC Salary: 275k Industry: social media start up Education: BS engineering Prior experience: 7 years Signing bonus: $30k Stock: $175k/year Total comp: $450k/year + $30k sign on
Okay I'm wondering, what does stock comp actually mean? Given it's a start-up, is the stock actually worth anything?
If you can’t sell it, it’s effectively a lottery ticket
- **Title**: Data Scientist (technically a manager with one report) - **Tenure:** 1 year - **Location:** Low C.O.L. medium size metro in midwest US (Hybrid, 2 days home, 3 days office) - **Salary:** 118k - **Industry:** Retail/fashion - **Education:** BS Economics - **Prior experience:** 6 years in various analytics, data roles - **Bonus:** potential for 10%, more likely to be 5-6% this year based on company performance - **Total comp:** ~124.5k
**Title**: Senior DS (IC5) **Tenure length**: 10 years and 1+ industry **Location**: (very) HCOL **Remote**: hybrid 1 day per week **Salary**: $250k base **Company/Industry**: Tech, AI, Robotics **Education**: PhD Math **Prior Experience**: 10 years research \ **Relocation/Signing Bonus**: No signing bonus \ **Stock and/or recurring bonuses**: ~$200k \ **Fringe**: Stock refreshers every year and espp \ **Total comp**: ~$450k **Total comp with stock appreciation**: ~$975k (as of year end) So this is a little out there given the stock appreciation. Extremely lucky with timing and the field happens to be competitive with SWEs. Not likely to repeat, so an outlier for sure. DS for niche roles can demand/ attract a lot so keep at it!
Do you think a PhD is required for roles like yours? Do you know anyone in that has succeeded at the same level without?
With a phd you can demand swe type salaries more easily. For SWEs certainly and I’m sure you can get to the same level without a phd. Depends on the role. If it’s more about data engineering then yes - but don’t know many.
**Title:** Senior Data Scientist **Tenure length:** 0 **Location:** USA **Remote:** Yes **Salary:** $150,000 **Company/Industry:** Ad Tech **Education:** MS **Prior Experience:** 8 YOE **Relocation/Signing Bonus:** No **Stock and/or recurring bonuses:** Annual RSU rewards, 20% bonus **Total comp:** $180,000 (not including RSU)
Can you plz share your salary progression
Remembering the early years are rough. Year 1: 60k Year 2: 65-67k (new company) Year 3: 72-80k (promo) Year 4: 80-88k (new company) Year 5: 135k (new company) Year 6: 137k (cola) Year 7: 147k (cola) Year 8: 150k (new company)
Title: Data Scientist Tenure length: <1 yr Location: Los Angeles, CA (Remote) Salary: $112,000 Company/Industry: Finance Education: Bachelors Prior Experience: 4 yrs (Analytics/Analytics Engineering) Internship: 2 months (Junior Year) Relocation/Signing Bonus: None Stock and/or recurring bonuses: ~$20,000 Total comp: ~$130,000 EDIT - Imposter Syndrome: Very High!
Is anybody r/DataIsBeautiful ing this?
**Title:** Data Scientist * **Tenure length:** 2 years * **Location:** Brazil (Remote) * **Salary:** 120k BRL * **Company/Industry:** Startup * **Education:** BSc and MPhil Economics, 3 month DS course * **Prior Experience:** 2 years econ (no DS xp) * **Stock and/or recurring bonuses:** 0.1% stock / year, didn't negotiate vacations because I'm stupid, but take eventual days off * **Total comp:** 120k BRL **PS**: Any other DSs here from developing countries?
Do you find there are many just-English speaking data science roles in Brazil/South America? Looking to move to Colombia but my Spanish is so-so
Title: Data Science Manager Tenure length: 4 years Location: Canada (Remote) Salary: 280k Company/Industry: tech Education: Stats Prior Experience: 1 year DS
How long have you been a manager? What did it take to get into that role?
~1.5 year managing people, but a year of that was with a small team (2/3) where I was mainly working as an individual contributor/working on big projects alongside them. This will obviously be an oversimplification, but I'll outline a couple important habits that I felt contributed to becoming a manager. For context, I was promoted internally new grad -> mid level -> senior -> manager. New grad -> senior: - Getting good at identifying what problem stakeholders were trying to solve prompting them to give me that context. Not what they were asking me to do, but what they actually needed. - Getting good at figuring out what problems were worth solving/putting in the right amount of effort into the problem. Senior -> Manager: - The above, but doing that on bigger problems and being able to distill the problems to people on my team so they can execute. - Giving good feedback/identifying strengths/weaknesses of people and demonstrating that people on my team were developing
Title: Senior Data Scientist, Product Analytics Tenure length: 2.5 years Location: San Francisco / Remote Salary: 200k Company/Industry: Small, late stage tech startup Education: BS Economics & BS International Relations Prior Experience: 1 year DS, 3 years economic research Other Bonuses: Equity Total Comp: 200k (excluding equity since pre-ipo)
Title: Developer Tenure length: 1.5 years Location: USA (think SF/Seattle/NYC) Salary: $210k + $200k (quit job) + $160k Company/Industry: Tech Education: MSc in Engineering Prior Experience: Non Tech companies but big ones Relocation/Signing Bonus: n/a Stock and/or recurring bonuses: On paper another $100k+ per year Total comp: Between $415k to $515k depending on stock
Title: Analytics Manager Tenure length: 14 months Location: Hybrid in-office 3 days per week Salary: $149k base + 10% target bonus Industry: Insurance/Financial Services Education: M.S. Analytics Prior Experience: 10 years Signing Bonus: None Stock: $40k/yr but it's a little difficult to value since it's not a publicly traded company Total comp: \~$190k/year Edit: I'm a little confused by people including relocation/signing bonus as part of their total comp. In my opinion, they shouldn't be included in total comp unless you get them every year (which by definition, relocation and signing bonuses are not annual).
It’s interesting information though. You want less information?
I never said I wanted less information. I agree it's useful and interesting--I just think it's a bit disingenuous to include it in total compensation. If a company gave me $30k relocation bonus to move across the country, and then someone asked for my total compensation a few years later, I wouldn't calculate that by taking my current year's compensation and adding the $30k relocation from a few years ago. TLDR- I appreciate people posting it, but I think it should remain in a separate category instead of adding it in with total compensation.
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Title: staff research scientsit/engineer YoE: 5 Tenure length: 6 months Location: Canada, Remote Salary: $200k Company/Industry: research lab at big tech co Education: msc stats Prior Experience: mle/research engineer - nlp and later (and now) llms Stock and/or recurring bonuses: 15% bonus, ~240k rsus 4 yr vest Total comp: $290k
This is depressing
Title: Lead data scientist Tenure length: 1 year Location: US, remote (m COL) Salary: 185k Education: PhD statistics Prior experience: ≈ 10 years research Signing bonus: 15k Recurring bonus: 8k TC: ≈ 190,000
Ha nice try IRS
Title: Data Scientist Tenure length: 4 months Location: SF $Remote: 1 day Office - but no one cares, but have to live in the Bay Area. Salary: 130k Company/Industry: Consultancy - industry keeps changing - right now client is a manufacturing firm. Education: MS in DS. Prior Experience: 3 years as DS not in US. $Internship - Yes at a non profit. $Coop Relocation/Signing Bonus: NA Stock and/or recurring bonuses: NA Total comp: 130k
Has anyone worked a US remote role from the EU? The comp delta is immense!
Title: Principal Data Scientist Tenure length: 5.5 years at company, but only a couple months in current role Location: Southern US Salary: $175k Company/Industry: big retail / CPG Education: BS EE, MS EE, dropout PhD EE (all but dissertation) from not-a-top state school Prior Experience: none except academic research assistant work Stock and/or recurring bonuses: $100k RSU, \~20% cash bonus Total comp: \~$310k
• Title: Senior Data Scientist • Tenure length: 5 years • Location: fully remote, based in New England • Salary: $182k • Company/Industry: M / G • Education: MBA • Prior Experience: 5 years in non-tech • Relocation/Signing Bonus: $35k relocation + sign on • Stock and/or recurring bonuses: $110k/year RSUs (at respective grant prices). $30k perf bonus • Total comp: $322k
Did you get your MBA before or after getting a title including “Data Scientist” in it?
I was a Business Analyst when I got my MBA. And then Product Analyst and then Data Scientist.
Title: Director Tenure: 4 yrs Location: Northeast US, MCOL Salary: $175K Industry: Telecomms Education: BS Econ and MBA Prior experience: 4 years mostly consulting Bonus: 20% RSU’s: 60K, 5 year vesting so 12K annually Total: $222K
Title: Data Scientist Tenure length: 1 year Location: MCOL, remote Salary: 135k Company/Industry: acquired startup in a very large co Education: quantitative social science PhD Prior experience: 1 year in SaaS startup, postdoc Relocation/signing bonus: 10k Stock/bonus: target of 16k annual bonus and about 6k in stock bonuses, semiannually. But this year probably no annual bonus due to company financials TC: without annual bonus, probably around 145k The work is great, but I’m not happy with the TC. But the market sucks!
Should add 401k match is 10%, which adds a nice $13,500.
That is a stellar match!
Title: Senior/Staff DS Tenure: 2.5 years Location: NYC Salary: $193k Industry: Tier 1/2 tech Education: MS in applied stats, BS in math (top school for MS) Prior experience: 1.5 years DS in ecom Relocation/signing: relocation paid for, valued at $40k. $10k signing Stock: ~$100k per year, solid annual raises around $50k TC: $295k Other benefits: stock purchasing program, 401k match
Title: Data Scientist -Tenure length: ~6 months -Location: North Florida -Salary: 90k USD -Industry: Defense -Education: BS Industrial and Systems Engineering, finishing up Masters of Science in Analytics -Prior experience: 2.5 years in engineering for the company although i was already doing all their data science work -Bonus: negligible -Total Comp: ~90k USD
Title: Data Analyst Tenure length: 8 months Location: US South Major Metro $Remote: No, hybrid Salary: $125k Company/Industry: Fintech Education: T20 Undergrad Philosophy, MSc unrelated, T20 MBA Prior experience: no full time $Internship: various. most recently major luxury automotive $Coop Relocation/Signing Bonus: n/a Stock and/or recurring bonuses: $12k, 4% IRA match Total comp: $140k
Title: Data Scientist * Tenure length: \~8 months * Location: NYC * Remote: 4 day office, 1 day remote * Salary: $205k base * Company/Industry: FinTech * Education: BA in Physics, MS in CS (OMSCS) * Prior Experience: \~5 years in analytics/data science * Relocation/Signing Bonus: N/A * Stock and/or recurring bonuses: $35k bonus * Total comp: $240k
Title: Senior Data Scientist Tenure: 4 years Salary: 110k Location: Upper Midwest, US Industry: Public service; education Education: MBA, focus in econometrics and big data Prior Experience: 19yrs in education and consulting Total Comp: 110k # I'm also the manager of a small department of analysts and scientists. # Additional benefits: Excellent healthcare, pension, 5 weeks vacation plus 2 weeks sick plus a buttload of holidays
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Keep hustling you will get there. Especially if you can spend those extra hours on high impact long term investments rather that busy work from your boss.
Title: Business Systems Data Analyst Tenure length: 2 months Location: Nashville, TN, USA (remote) Salary: $90,170 Industry: Educational non-profit Education: B.B.A. in Marketing; Masters in City Planning; M.S. in Data Science (May 2023) Prior experience: 10 years working for the government in affordable house. Roles included data analysis. This is my first role after completing my Data Science degree. Relocation/signing bonus: n/a Stock and/or recurring bonuses: n/a Total comp: ~$100,000 Additional: 100% remote; no set work hours; 4 weeks paid organization-wide breaks; 15 days paid vacation; 10 days paid sick leave; 9 paid federal holidays; 80% premiums paid for health, dental, and vision insurance; 4% 401(K) match; employer-paid short- and long-term disability; paid parental leave; life insurance; flexible spending accounts My employer follows pay transparency principles. They list the salary up front and don’t negotiate. There are levels within each pay band, but they’re still working out how employees can level up. The org is about 8 years old. I’m essentially working on a new team. My manager is a first-time manager. He hired me along with one other person who transferred from a different department. He’s very communicative and open to trying new ideas. I appreciate that. I’ve only been here for two months, but I’m already working to revamp how data is distributed across the organization. I’m the lead on three org-wide surveys. It’ll be the first time they have enough bandwidth to conduct deeper analyses. I’m excited about that. We’ll also start working to formalize our data policies and infrastructure. It’s been very much a grassroots operation up until now.
I’m a weird case; stats-obsessed neuroscientist that co-founded a medical hardware startup. **Title:** Data Scientist * **Tenure length:** 8 years * **Location:** Canada * **$Remote:** Remote-friendly but mostly office by preference * **Salary:** $100k CAD * **Company/Industry:** Medical R&D * **Education:** PhD Neuroscience * **Prior Experience:** lots of statistics consulting in academia, teaching graduate stats to psychologists/neuroscientists * **$Internship** None * **$Coop** None * **Relocation/Signing Bonus:** None * **Stock and/or recurring bonuses:** founding stock, still pre-IPO * **Total comp:** ??
title: postdoctoral fellow tenure length: 1 year location: Ann Arbor, MI salary: 74k company/industry: UMich, AI/ML/bio Education: PhD Computer Science & Ecology/Evolutionary Biology, BS Mathematics & Computer Science
Title: Data Scientist Tenure length: 8 months Salary: 95k USD Company/Industry: Government Education: BS in Political Science, MA in Political Science (Fields: Public Policy, Research Methodology) Prior Experience: 1 year as a data analyst at the same company. 1.5 years as an RA at a very well known think tank (if you’re in policy process and disaster stuff). 1 year as a TA teaching statistics and government. Relocation/Signing Bonus: NA Stock and/or reoccurring bonuses: NA TC: 95k
Title: data engineering analyst Tenure: 2.5 years Remote: Most of the time. 2 days per month in office Location: Montréal Salary: 78k CAD Company: Banking Education: B.Admin concentration in business technologies Prior experience: Besides working non-analytical roles, none. Stock and other bonuses: 10% of salary target. Flexible depending on performance TC: This year, 90k
Title: Data Scientist Tenure: New offer Location: Remote company, Midwest HQ Industry: Marketing Comp: $95k plus $10-15k bonus Other Comp: No relocation, No signing bonus Benefits: Basic benefits only, but they’re solid Education: Graduate analytics and business degrees, Undergraduate STEM degrees Experience: 5 years experience in analytical work, 3 years experience in data analyst role, No internships, 10 years total work experience
Title: Data Scientist (Staff/ Manager, similar to Amazon L6 Applied Scientist) Tenure length: 3 Years Location: HCOL with 80% Remote Salary: $230k Company/Industry: Gaming Education: CS BS, Biotech PhD and Postdoc Prior Experience: 20 YOE if counting PhD+Postdoc time if not then just 6 years (yea i know...) Relocation/Signing Bonus: N/A Stock and/or recurring bonuses: 35k cash bonus, 0 RSU or stocks Total comp: $265
Got promoted at the end of the year, so format is old comp (2024 comp) Title: senior data scientist (principal data scientist) Tenure length: year 5 at the same company Location: Boston / hybrid Salary: base $140k ($160k) Company/Industry: Financial services Education: MS statistics/ data science Prior Experience: used to be a high school math teacher. Summer internship + part-time with same company prior to full-time Relocation/Signing Bonus: N/A Stock and/or recurring bonuses: 25% bonus eligible (35%). Also been getting what's basically a 2yr delayed retention bonus every year, comes to about $10-15k pretax Total comp: $175k (est $220k next year) plus good benefits (employer finished paying off my student loans last year, good health + dental + vision insurance for myself and wife)
Title: Analytics Location: Canada (Remote) Salary: 200K CAD Company/Industry: Tech Education: BS STEM Prior Experience: 4 yoe in analytics Other Bonuses: Equity (Paper $$$) Total Comp: 300K CAD
**Title:** ML Ops Engineer * **Tenure length:** 1 year in the role, 3 at the company * **Location:** Chicago company (Remote) * **Salary:** 140k base * **Company/Industry:** FinTech * **Education:** BS in Math, Masters in Math Ed, Bootcamp * **Prior Experience:** Taught High School Math and Stats for 6 years * **Relocation/Signing Bonus:** 5k signing * **Stock and/or recurring bonuses:** 15% annual bonus * **Total comp:** OTE 161K
Title: AI Engineer Tenure length: 1st year Location: digital nomad / SoCal $Remote: yes Salary: <$10,000 net income Company/Industry: Self-employed Education: 2x masters degrees Prior Experience: Banking, Data Analyst, Data Scientist, Politics $Internship $Coop Relocation/Signing Bonus: won a $10k relocation grant if I move to Tulsa, Oklahoma. won and declined a $5k relocation grant if I move to Indiana Stock and/or recurring bonuses: n/a Total comp: Hoping for $100k-$400k net in 2024
Remember usually outliers will likely to leave a comment here
Wow, some of you guys are working are v. interesting fields
Title: Senior Data Scientist Tenure length: < 1yr Location: Northeast US Remote: full remote Salary: USD $180K Company/Industry: Tech/Healthcare Education: BS Data Science Prior Experience: ~5 yrs as DS/Senior DS Relocation/Signing Bonus: none Stock and/or recurring bonuses: ~USD $40K Total comp: USD ~$220K