Key Takeaways
- In 2023, the U.S. Bureau of Labor Statistics projected a 35% growth in data science employment from 2022 to 2032, much faster than the average for all occupations.
- Globally, LinkedIn reported over 1.2 million data scientist job postings in 2023, marking a 20% year-over-year increase.
- Indeed.com data from Q4 2023 showed data scientist positions receiving 118 applications per job on average, 45% higher than software engineers.
- The average base salary for data scientists in the US reached $123,300 in 2023 according to Glassdoor, with total pay averaging $150,200 including bonuses.
- Levels.fyi 2024 data showed median total compensation for data scientists at mid-level (L4) in FAANG companies at $285,000.
- Payscale's 2024 survey reported an average data scientist salary of $113,736, with 10+ years experience earning $137,000 on average.
- 85% of data scientists hold a Master's degree or higher, per Kaggle's 2023 survey of 23,000 respondents.
- Coursera's 2023 Global Skills Report found 62% of data science learners have bachelor's in computer science or related fields.
- Burtch Works 2023 study showed 51% of data scientists have PhDs, 37% Master's, and 8% Bachelor's.
- Python is used by 88% of data scientists daily, according to Kaggle 2023 survey.
- SQL proficiency is required in 75% of data science job postings, per Indeed 2023 analysis.
- Machine Learning implementation is a top responsibility for 67% of data scientists, per O'Reilly 2023 report.
- 64% of data scientists aged 25-34, according to Stack Overflow 2023 Developer Survey.
- Women represent 28% of data scientists globally, per Women in Data Science 2023 report.
- 42% of US data scientists are Asian, 35% White, 12% Hispanic per BLS 2023 demographics.
Data science jobs are booming with rapid growth and high demand.
Career Growth and Satisfaction
Career Growth and Satisfaction Interpretation
Demographics and Trends
Demographics and Trends Interpretation
Education and Qualifications
Education and Qualifications Interpretation
Job Market and Demand
Job Market and Demand Interpretation
Salary and Compensation
Salary and Compensation Interpretation
Skills and Responsibilities
Skills and Responsibilities Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Kevin O'Brien. (2026, February 13). Data Scientist Statistics. Gitnux. https://gitnux.org/data-scientist-statistics
Kevin O'Brien. "Data Scientist Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/data-scientist-statistics.
Kevin O'Brien. 2026. "Data Scientist Statistics." Gitnux. https://gitnux.org/data-scientist-statistics.
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