Data Careers
Data scientists, analysts, ML engineers, statisticians — the full data stack.
Data work spans descriptive analytics, dashboarding, machine learning, statistical research, and engineering the pipelines that make any of it possible. Job titles overlap; the actual work varies by company and team.
11 careers in this collection
Edge ML Engineer
Run ML models on phones, wearables, and low-power hardware
Machine Learning Engineer
Build the systems that make AI work at scale in the real world
Data Engineer
An engineer specializing in building and operating data pipelines and warehouses.
Data Scientist
Turn raw data into decisions that move businesses forward
Biostatistician
Design clinical studies and analyze data to determine whether new treatments are safe and effective
Statistician
Design experiments and analyze data to extract meaningful patterns and insights
Statistician (Biostatistics)
Design and analyze studies in medicine and public health
Data Engineer (Modern Stack)
Build data pipelines on Snowflake, dbt, and Airflow
Synthetic Data Engineer
Generate high-quality synthetic data for training
Data Analyst
Turn data into insights, answer business questions, drive decisions with numbers
ESG Data Analyst
Build ESG data pipelines and reporting for investors and regulators
Median annual wage figures are from the U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics, May 2023, for the occupation each career is classified under. Careers with no published federal figure show none.
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