Salary Overview
Data science compensation depends on role type: analysts earn less than ML engineers, who earn less than research scientists. At FAANG, mid-level data scientists report $200,000β$350,000 TC (Levels.fyi), while non-FAANG roles typically pay $100,000β$180,000 TC.
The distinction between data analyst, data scientist, data engineer, and ML engineer matters significantly for compensation. ML engineers with strong software engineering skills command the highest premiums.
Salary by Role and Experience
RoleBase SalaryTotal CompensationData Analyst$70,000β$95,000 base$90,000β$120,000 TCJunior Data Scientist$95,000β$120,000 base$120,000β$160,000 TCSenior Data Scientist$140,000β$180,000 base$200,000β$350,000 TCML Engineer$145,000β$200,000 base$250,000β$400,000 TCData Engineer$120,000β$160,000 base$160,000β$250,000 TCDirector / Head of Data Science$190,000+ base$300,000β$500,000+ TC
Return on Investment Analysis
MS in Data Science programs cost $30,000β$80,000 for 1β2 years. With strong median salaries and growing demand (36% projected growth for data scientists through 2033), the payback is typically 1β2 years.
Bootcamp or certificate paths into data analysis cost $5,000β$15,000, targeting $75,000β$95,000 analyst roles. The ROI is fast but the salary ceiling is lower than degree-holding data scientists and ML engineers.
Factors That Affect Earnings
- Role type β ML engineer and research scientist pay above data analyst
- Company tier β FAANG TC is 50β100% above non-tech companies
- Technical stack β Python, SQL, cloud ML, and deep learning skills drive premiums
- Industry β finance, tech, and pharma pay the most for data roles
- Degree level β PhD holders command premiums in research roles
Career Growth Timeline
- Years 0β2: Analyst or junior scientist, $90,000β$140,000 TC
- Years 3β5: Senior scientist or ML engineer, $180,000β$350,000 TC
- Years 5β10: Staff/principal or manager, $300,000β$500,000+ TC
- Years 10+: Director/VP or chief data officer, $400,000β$700,000+ TC
Geographic and Industry Variation
San Francisco, Seattle, and New York lead data science pay, driven by tech headquarters and finance. Remote data roles are increasingly common with geographic pay bands similar to SWE.
Boston (biotech/pharma), Washington DC (government analytics), and Austin (growing tech hub) offer strong secondary markets with lower costs.
Related Reading
Key Takeaways
- Data scientist median: $108,020 β FAANG TC exceeds $200K mid-level
- ML engineers command the highest premiums in the data field
- 36% projected growth through 2033 drives strong demand
Sources
- BLS May 2024 OES
- Levels.fyi
- Glassdoor
Data science compensation rewards technical depth, especially ML engineering skills, and scales steeply with company tier and experience. The combination of high pay and explosive growth makes it one of the strongest ROI graduate paths.






