Salary Trends for Data Scientists and Machine Learning Professionals

Source: proper right here

If you are questioning how rather a lot an data scientist earns, whether or not or not you are a hiring supervisor or wanting for a job, there are numerous web pages providing pretty detailed knowledge, broken down by area, seniority, and experience. Here I cope with the United States, offering a summary based mostly totally on assorted trusted web pages.

A kick off point is LinkedIn. Sometimes, the wage hooked as much as a spot is listed, and LinkedIn will inform you what number of people seen the job advert, and how correctly you match based mostly totally on capacity matching and experience. LinkedIn will even inform you which ones of your connections work for the company in question, so chances are high you may contact most likely probably the most associated ones.  Positions with fewer views, which may be two week earlier, are a lot much less aggressive (nonetheless maybe a lot much less participating too), however if you don’t have rather a lot experience, they may be value making use of to. You most likely acquire such job commercials in your mailbox, from LinkedIn, every week. If not, you may need to work in your LinkedIn profile (or maybe you don’t want to acquire such emails).

Popular web pages with detailed knowledge embody PayScale, GlassDoor, and Indeed. GlassDoor, based mostly totally on 17,000 reported salaries (see proper right here), mentions a variety from $82k to $165k, with a median of $116k per yr for a level-2 information scientist. It climbs to $140k for level-3. You can do a search by metropolis or agency. Some corporations listed embody:

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

These are base salaries and do not embody bonus, stock decisions, or totally different perks. Companies with many employees inside the Bay Area present bigger salaries ensuing from the value of dwelling. These statistics may be significantly biased as very senior employees are a lot much less seemingly to provide their wage knowledge. A chief information scientist often makes correctly above $200k a yr, not along with bonuses, and an $800k wage, at that diploma, at corporations harking back to Microsoft or Deloitte (based mostly totally on my experience), should not be uncommon. On the low end, you’ve got interns and part-time workers. If you go to Glassdoor, it’s possible you’ll get far more granular information.

Below are statistics coming this time from Indeed (see proper right here). They present a definite perspective, with breakdown by kind of expertise and area. The excessive 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 within the occasion you’re employed remotely for a corporation inside the Bay Area, chances are high you may get a lower wage within the occasion you keep in an area with lower worth of dwelling. Still, you would be financially increased off than your folks in San Francisco.

The type of experience commanding the perfect wage (20 to 40% above widespread) are Cloud Architecture, DevOps, CI/CD (regular provide and/or regular deployment), Microservices, and Performance Marketing. Finally, Indeed moreover exhibits 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 widespread for Data Scientist is $119,444 in step with Indeed. This amount is very like the one coming from Glassdoor. Note that some well-funded startups can present huge salaries. My highest wage was as chief scientist / co-founder at a corporation with decrease than 20 employees. And my highest compensation was for a corporation 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, e ebook author (Wiley), patent proprietor, former post-doc at Cambridge University, former VC-funded govt, with 20+ years of firm experience along with CNET, NBC, Visa, Wells Fargo, Microsoft, eBay. Vincent may be self-publisher at DataShaping.com, and based mostly and co-founded a few start-ups, along with one with a worthwhile exit (Data Science Central acquired by Tech Target). He these days opened Paris Restaurant, in Anacortes. You can entry Vincent’s articles and books, proper right here.