Faang data scientist salary reddit.
Faang data scientist salary reddit That was my FAANG DE experience. It can also mean complex data that needs to be modeled in a scalable way. Since my background is neither too coding 52 votes, 33 comments. 6M subscribers in the datascience community. DEs build pipelines, DS is a glorified analytics position. Till now, I have mostly worked on projects from POC to market test / backtest. There's 1000 different definitions of what 'data science' is, but in my mind ML is an essential part of it. I’m a little more brutal since OP deleted account so this is more of a PSA: 2023 Data Scientist entering industry plan on $60K. 5 years in industry • Location: fully remote, located in the inland northwest US, company headquartered in Texas • Salary: $125k • Company/Industry: Property/Casualty Insurance • Education: PhD Physics • Prior Experience: PhD, 2 years as data scientist in same Data scientist here with 2. You are looking for data science position which are not the same. I [M28] currently do this and have done this for the last few years. My healthcare insurance premium that I get through my employer costs a little over $100/month. A space for data science professionals to engage in discussions and debates on… Yeah I suppose in Europe it's a trade off, I'd likely get paid a higher salary in the US for the position I'm in, but on the other hand I'm also getting over a month of paid vacation time in Europe, don't have to worry about healthcare costs or dental care, education costs for children, or paying back student loans. In the US, they pay those salaries because that’s what they have to do to attract the best talent. (Salary cannot be negotiated further for Company 1, already finished negotiating with Company 2) Company 1 (FAANG) Role — Data Scientist Salary — 115-130K Responsibilities — Time series modeling, deep learning Search 300k+ salaries for different companies, job titles, career levels, and locations. Double your salary and double your expenses won’t double your savings. Depending on where my company’s stocks land, I’ll hit $400-500k this year. Spent 20 years in FAANG now at another large tech company. In this day and age, you can command a much higher salary anywhere in the tech industry without even considering FAANG if you can write even rudimentary software, which most bioinformaticians can. A space for data science professionals to engage in discussions and debates on the subject of data science. He’s right to an extent. Anyone and their dog call themselves data scientists. fyi is useful because they show total comp and not just salary which tends to max out at around 170k I'm a senior PM with a psychology background. However, for ML Engineering roles, or Data Engineering roles, it's totally a thing. 67 votes, 93 comments. That seems to be the current trend of 2024. 1. I've watched the best data scientist do better work than the average data scientist in 1/20th of the time. For instance, I applied If there are any UK based Data scientists out there (as it appears this subreddit is non-UK heavy) please share details of salaries, preferably London based. Your average tax rate will be higher if you make more. There are a lot fewer "phony" data science jobs than people think. ML scientists/engineers get paid the same as SWE as far as I've seen. But you can't just magically negotiate with nothing. I know that a lot of people say data engineering career at FAANG is not a full experience of data engineering, but it’s been… I have been seeing lots of data scientist jobs for major airlines (delta, united) and I’ve always thought how data science in that specific industry has changed. And as you know at FAANG a good software engineer will always be a higher band than a data scientist (sans a top Phd working on crazy stuff). 25 years as a data science intern & later 1. Seems like most engineers are L5 (Senior), and at FAANG that's going to be at least $400K TC on the low end. At our company, including those positions you mentioned, people work a flexible 80 hour schedule (over two weeks). Primary is ~300k TC secondary is ~200k TC. There are of course very good ones but the word science in data has kind of lost its meaning. It’s possible that a lot of DA job could be done by AI, but remember that DE is the 1st step in the data domain. Sure, you can strategically decide to use data science in your company, but that in itself is not a data science question. Then likely the companies with more need for data engineers (relatively speaking) are those handling larger datasets. 2023: $60k ($77k total comp, Business Data Analyst, fully remote). How hard is it to expect a 200k salary in USD as a senior data engineer role in States? The salary is kind of capped at 150k for a senior data engineer role where I live here and when I read this kind of article, it makes me wonder if this is a rare case or quite normal for data engineers with good experience to expect 200k+ for a perm employee. Back to the intro course - mean, median, mode, curve and years of experience. Plus there is a huge inflation in what a data scientist is. You can ask for a bonus of some kind if you are throwing away money to be there. I'd rather make $100K and live in a 3 bedroom house with a yard within 30 minutes of my office than make $200K and live in a 2 bedroom apartment without a parking spot and a 1 hour commute to work. Most comp is in stock. 47 votes, 117 comments. Depends on the level. I thoroughly enjoy the hectic and constantly changing environment that startups entail. Apparently OAI pays 1M for senior people, but those roles are few and far between. I know paying for childcare for toddlers here in Boston costs about $2000-$3000 per month. Levels. Base salaries don’t change much. Graduated in 2011; worked in nonprofits, academia, and government until 2017; then switched into startups for two years; and then landed in FAANG. You'll definitely see it at FAANG companies, but you are right, the trickier LeetCode programming questions that need Dynamic Programming or Graph Data Structures are overkill for almost all Data Analyst and most Data Science roles. Nov 23, 2024 · This is cope, it's all a numbers game and faang simply hires more. You probably are misunderstanding how TC with stocks is computed. Title: Data scientist Tenure length: 8 months Office Location: NYC Remote: 2 days remote per week, 3 days in office Salary: $150k Company/Industry: Advertising Education: Master's in data science, Bachelor's in a life science Prior Experience: Some analytical research in undergrad Internship: At my current company Co-op: OP is asking about ML researcher which is either a research scientist position or a ML Engineer position at Meta. While you miss out on 401k matching in the US, Korean companies are required to contribute 8%+ towards your retirement annually. I would not call myself software scientist. Jan 30, 2023 · The data suggests that the average base salary for a data scientist at these companies is around $130,000 per year, with a range of around $110,000 to $160,000. You aren't allowed to work more than 80 hours except under extreme circumstances. I'm currently a senior data scientist and have worked at multiple startups ranging from 15 to 500 people. Skills: SQL, Tableau, R, Python, Excel. 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. Here's how I went from guy with a science degree to dev at Google: Indeed you would. I see many Data Scientist at FAANG are only focused on product analytics (SQL, visualization, ETL) and most of Machine Learning work is done by Research Scientists. My psychology honours was much better analytical training. They are absolutely not better data scientists on average than the team I worked with at a startup where pay was less than half. So there's been some surge of data science and to support that you need data engineers. Posted by u/Realistic_Jury1427 - 303 votes and 282 comments A space for data science professionals to engage in discussions and debates on the subject of data science. But when I apply to FAANG companies I keep getting interviews for SWE/SDE roles but not Data science/engineer/analytics roles. Tight market as the layoffs mean that a lot of FAANG data scientists are looking for jobs in FAANG. A standard PhD takes 5 years. Yes, I did pull a little sneaky on ya here by equating data science and machine learning. Jul 23, 2024 · You can negotiate often at FAANG, however, you must have data. So doubling your salary might be more like 1. I have been working in data science in the retail industry for almost 3 years, the first 1. It would be higher if you had successfully gotten research productized prior. Interestingly, my masters was pretty easy and often very basic. Edit: looks like the comment only referred to base salary not total comp. Without any other details, I could only guess a huge range of between $200-600k. I'm not a data scientist, but an SWE. Not applying to FAANG is stupid Oct 2, 2024 · Having basic data contracts to set expectations on incoming data quality before transformations certainly helps to prevent potential faulty data from making it into the data warehouse. But after psychology I became a data analyst and did a master's in business analytics. People think that Data Science jobs means all Machine I’ll start: Google and Microsoft are well-known for their data science reputation and culture. www. For example, there you do not have to explain the difference between a data engineer and a data scientist. After four years in analytics and data science, i became a PM. Specifically, airlines companies traditionally was home to lots of Operations Research practitioners (the problem of scheduling flights is like a textbook OR problem I believe). Unfortunately they seem to have pumped the brakes on this. Senior engineers are making close to 400k total comp. No signing bonus No other bonus to date Total comp 190k 126 votes, 36 comments. If your TC is 150k including stocks, then you get 150k after one year (plus/minus fluctuation of the stock over the year). It is not a guarantee that completing a PhD will shoo you in those type of roles. As someone who has been a machine learning engineer, a data scientist, and a computational linguist, I can say with some certainty that your skills, interests, and values are vastly more important than your title. I’m a data scientist at a FAANG company and my DS colleagues vary wildly in their skills: some are fantastic engineers, other cannot code for shit but have statistics PhDs, etc. I wanted to get an idea is it realistic to aim to get a 60,000 euros starting salary after graduation outside of FAANG? They actually mention in the article that this is for a PM. Data data data. Principal or higher (very hard to get to) over $1mm/yr. Software Engineering will always be safer than data science. It may be that even at a FAANG you will be working on an internal project, but I assume the software engineering standards will be higher. Explore our tools to help you get paid more! What does big data entail you doing in that position? So, this has changed since I worked at three different big tech companies in that time. DEs work in small teams but are embedded throughout the org in product groups. 25 years as a data scientist. Secondly, FAANG(ish) companies have a genuine interest in keeping talented engineers. AI impact in the future: it'll be a tool that lets you do your job faster but I don't see a big reduction of DS jobs anytime soon. With Data Engineers, Data Analysts and even Data Scientists won’t exist. Usually under 300k. If you do not have a software engineering or stats background it might be hard to get a job even with a masters in data science. Those are insanely competitive. 6years is a good long time at FAANG any problem with We would like to show you a description here but the site won’t allow us. TC was still lower than US FAANG but very competitive with non-FAANG. For most companies data science, at the end of the day, is a luxury. I’d also say that just having a diploma without work experience will make things hard, so choose a program that has co-op. I’ve also recently started seeing Data Modeler jobs, that would sit before DE, or could be a subset of DE. You can leverage two years of FAANG experience to get interviews in most places. Which companies handle larger datasets? The scope of what you do in FAANG or any big tech company for that matters is bigger than most companies. Smaller companies still need data scientists. 5yoe, working hard to get into startups (zomato, swiggy etc) or FAANG. Your local F500 bank might hire 20-25 new grads for their rotational program but Meta for example is hiring 1000ish new grads. 8x your salary while doubling your expenses. Hi everyone, in about 1 year I will graduate for a masters in Computer simulation, not really a pure CS degree, I'm currently working as a working student data analyst (python, algorithm development) at a company. I know many people that went the data science route and start out at $100-120k with their Master's and zero experience. Background: I am finishing a PhD in theoretical math who has wanted to work in data science for about 2 years, and began serious efforts to… At the end of the day, it’s driven by the market. Big data could be large event data that needs to be processed efficiently. I would prioritize speed and approach the interviews like a jam session. Sadly more of a cautionary tale - wants to be a high level data scientist can’t process basic salary distribution. I can tell you all that in London, salary progression for an accountant, give or take a 1k or 2, is: 1st yr: £28500 2nd yr: £30,500 3rd yr: £34,500 4th yr (newly qualified): £46000-£ If this visual was labeled as "base salary" I could maybe see it being slightly more credible, but $200-210k total comp in north america onshore market in any industry is definitely underpaid for VP / chief data scientist level, and implies an industry/company that hasn't figured out / proven the business case behind data within their org. Without giving away too many specifics, I know some people who work over 50 hours and some who work under 30 hours at full time jobs for similar salary, usually around 200k total comp. 6K votes, 215 comments. Data science jobs aren’t rare in Canada. Base comp is around $200K, annual bonus around 15%-20% (so $30K-40K), and equity refreshers around $150K-$200K. Both are now FTE roles with standard bonus/LTI structures. There is a lot of data science gatekeeping. Probably slight supply/demand imbalance as more companies are trying to make better use of their data. I probably can switch jobs and try to hit $500-700k but I want a little more work life balance in this stage of my career. I graduated in 2022 with bachelor's degrees in economics and political science, and I'm currently getting my master's in data science and analytics and will graduate next year. Why employ a middle of the road scientist when you can get the best in on a 3k a day contract? And you save money. This is exactly right. . People would have done some basic AI stuff and some data analysis call themselves data scientists. A company in the US offering a $40k salary for a data scientist would likely only be able to land candidates who don’t have a college degree. I have not had a chance to push the model into production. Both employers don’t know directly about each other but do know that I have “side gigs”. And it's extremely unlikely to go directly from undergrad to a IC3 in DS for a FAANG, unless you had internships at those places and are a top university. And then there's the time-sunk cost. They’ve made popular open source data science packages, they host two of the three most popular cloud platforms, they own data science related companies (Kaggle and GitHub), and they always get the best data science talent. Higher income plus job security. New data people come in at L1/2 and PhDs at L4 for How do I get a job as a data analyst/engineer? I have a bachelor's and masters in computer science and I have done two internships, one as a data science intern and the other as a data analyst. true. Wow truly brilliantly written. I think the future of data science is going to be hugely skewed to the top 1% of talent. I had considered Data Scientist, Analytics (FB position) kind of roles but I'm quite inclined towards Machine Learning (mathematics side). You can ask for a higher salary if you have another offer for such a salary. I am a freshly graduate student from a tier-3 university ( In India) with a Computer Science Engineering degree and I got placed at a start-up (now MNC) with a Data Scientist role ( Although my job will start from Jan, they delayed it citing the recession, it was a startup when I got the job but between the time aquisition happened and it got under an MNC) We would like to show you a description here but the site won’t allow us. And of course, career and salary wise, the output of working at FAANG is, on average, better than working anywhere else. Rudimentary notifications like orchestration failures from Airflow jobs or KPI spikes is another good way to monitor issues. Self Idk about Amazon but I got offers for l5 scientist roles at Meta and Google about a month ago. At the senior/staff/senior staff level this could easily be 4-500k/7-800k/1M at a FAANG. Are data scientist jobs so lax you can casually write SQL and make 250k/year? a good idea of FAANG salaries. For context I have a Masters in Data Science and roughly 1 year of work experience. The other kind of jobs that PhDs go for are data scientists and more specialized software engineers and they can be had with just a master's. • Title: Data Scientist • Tenure length: 2 months in current role, 2. Please give suggestions on my resume. The current job market is really tough for entry level data scientist and I would suggest getting a higher level education that has a good network for data scientist. Staff (12+ YOE) often 600k+. Members Online Put my foot down and refused to go ahead with what would amount to almost 8 hours of interviews for a senior data scientist position. Pretty much the question But also some tips on how to your first job and at the end of the day is it even worth it I'm… Data science can often be math heavy, I’m not sure if a postgrad diploma would cover all you need to know. Two (Non-FAANG) data science tech lead jobs. enpc agmpgw jyenwm hkayom xfmjra kpwaw zivl rtca baueo kenk dwku elywz kktkzi xeodaal mtvks