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Salary Trends for Data Scientists and Machine Learning Professionals

Source: here

If you are wondering how much a data scientist earns, whether you are a hiring manager or looking for a job, there are plenty of websites providing rather detailed information, broken down by area, seniority, and skills. Here I focus on the United States, offering a summary based on various trusted websites.

A starting point is LinkedIn. Sometimes, the salary attached to a position is listed, and LinkedIn will tell you how many people viewed the job ad, and how well you fit based on skill matching and experience. LinkedIn will even tell you which of your connections work for the company in question, so you may contact the most relevant ones.  Positions with fewer views, that are two week old, are less competitive (but maybe less attractive too), but if you don't have much experience, they could be worth applying to. You probably receive such job ads in your mailbox, from LinkedIn, every week. If not, you need to work on your LinkedIn profile (or maybe you don't want to receive such emails).

Popular websites with detailed information include PayScale, GlassDoor, and Indeed. GlassDoor, based on 17,000 reported salaries (see here), mentions a range from $82k to $165k, with an average of $116k per year for a level-2 data scientist. It climbs to $140k for level-3. You can do a search by city or company. Some companies listed include:

  • Facebook: $153,000 based on 1,006 salaries. The range is $55K - $226K.
  • Quora: $122,875 based on 509 salaries. The range is $113K - $164K.
  • Oracle: $148,396 based on 457 salaries. The range $88K - $178K.
  • IBM: $130,546 based on 382 salaries. The range is $58K - $244K.
  • Google: $148,560 based on 246 salaries. The range is $23K - $260K.
  • Microsoft: $134,042 based on 204 salaries. The range is $13K - $292K.
  • Amazon: $125,704 based on 190 salaries. The range is $60K - $235K.
  • Booz Allen Hamilton: $90,000 based on 186 salaries. The range is $66K - $215K.
  • Walmart: $108,937 based on 185 salaries. The range is $78K - $186K.
  • Cisco: $157,228 based on 166 salaries. The range is $79K - $186K.
  • Uber: $143,661 based on 137 salaries. The range is $56K - $200K.
  • Intel: $125,936 based on 129 salaries. The range is $58K - $180K.
  • Apple: $153,885 based on 128 salaries. The range is $60K - $210K.
  • Airbnb: $180,569 based on 122 salaries. The range is  $99K - $242K.

These are base salaries and do not include bonus, stock options, or other perks. Companies with many employees in the Bay Area offer bigger salaries due to the cost of living. These statistics may be somewhat biased as very senior employees are less likely to provide their salary information. A chief data scientist typically makes well above $200k a year, not including bonuses, and an $800k salary, at that level, at companies such as Microsoft or Deloitte (based on my experience), is not uncommon. On the low end, you have interns and part-time workers. If you visit Glassdoor, you can get much more granular data.

Below are statistics coming this time from Indeed (see here). They offer a different perspective, with breakdown by type of expertise and area. The top 5 cities with highest salaries are San Francisco ($157,041), Santa Clara ($156,284), New York ($140,262), Austin ($133,562) and San Diego ($124,679). Surprisingly, the pay is lower in Seattle than in  Houston. Note that if you work remotely for a company in the Bay Area, you may get a lower salary if you live in an area with lower cost of living. Still, you would be financially better off than your peers in San Francisco.

The kind of experience commanding the highest salary (20 to 40% above average) are Cloud Architecture, DevOps, CI/CD (continuous delivery and/or continuous deployment), Microservices, and Performance Marketing. Finally, Indeed also displays salaries for related occupations, with the following averages:

  • Data Analyst, 27017 openings, $70,416
  • Machine Learning Engineer, 27196 openings, $150,336
  • Data Engineer, 10527 openings, $128,157
  • Statistician, 1733 openings, $96,661
  • Statistical Analyst, 15060 openings, $66,175
  • Principal Scientist, 1644 openings, $143,266

The average for Data Scientist is $119,444 according to Indeed. This number is similar to the one coming from Glassdoor. Note that some well-funded startups can offer large salaries. My highest salary was as chief scientist / co-founder at a company with less than 20 employees. And my highest compensation was for a company I created and funded myself, though I was not on a payroll and I did not assign myself a job title.

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About the author:  Vincent Granville is a data science pioneer, mathematician, book author (Wiley), patent owner, former post-doc at Cambridge University, former VC-funded executive, with 20+ years of corporate experience including CNET, NBC, Visa, Wells Fargo, Microsoft, eBay. Vincent is also self-publisher at DataShaping.com, and founded and co-founded a few start-ups, including one with a successful exit (Data Science Central acquired by Tech Target). He recently opened Paris Restaurant, in Anacortes. You can access Vincent's articles and books, here.

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