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2018 Salaries Of Data Scientists Report Highlights: Burtch Works Study
- Similar to last year's figures, the median base salaries of data scientists have remained relatively steady. After rising rapidly in 2015 and 2016, median base salaries at all job levels changed by a single-digit percentage point or not at all from March 2017 to March 2018.
- The median base salaries range from $95,000 at level 1 (0-3 years of experience) to $165,000 at level 3 (9+ years) for individual contributors and from $145,000 at level 1 (1-3 reports) to $250,000 at level 3 (10+ reports) for managers.

- If you are a data scientist, you don't need to become a manger to earn a high salary. Becoming a subject matter expert can be a separate career track that doesn't have to lead to people management.
- Data scientists holding a Ph.D. earn higher median base salaries than those holding a Master's degree in every job category. This trend is most pronounced among individual contributors - at level 1, data scientists with a Ph.D. earn a median base salary of $102,000 while those with a Master's degree earn a median base salary of $92,500.
- Data scientists earn base salaries up to 36% higher than other predictive analytics professionals. In all job categories except the higher-level managers, data scientists realize a double-digit percent advantage in base salary compared to others in predictive analytics. (Burtch Works distinguishes data scientists from other predictive analytics professionals by "the depth and breadth of data scientists' coding skills," allowing them "to exploit data regardless of its source, size, or format.")
- The salary gap between data scientists working for technology companies and those in other industries is beginning to narrow. Yet another indicator that today, all companies are tech companiesâ?¦
- Previously, H-1B residency status held constant at 9% (2015 and 2016) and 8% (2017) of the data scientists covered by the Burtch study, but this year's data shows a jump to 13% of data scientists holding an H-1B visa. This may be due, says Burtch, "to many companies realizing that it is important to employ an aggressive hiring strategy for data science and gain access to a wider talent pool by supporting the visa transfer process. Additionally, the lengthening green card process could be at play."


