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.
13 careers in this collection
Synthetic Data Engineer
Growing
Generate high-quality synthetic data for training
Machine Learning Engineer
Critical demand
Build the systems that make AI work at scale in the real world
ML Engineer
Growing
An engineer specializing in productionizing ML models.
Data Analyst
High demand
Turn data into insights, answer business questions, drive decisions with numbers
Data Engineer (Modern Stack)
Growing
Build data pipelines on Snowflake, dbt, and Airflow
Edge ML Engineer
Growing
Run ML models on phones, wearables, and low-power hardware
Statistician (Biostatistics)
Growing
Design and analyze studies in medicine and public health
Data Scientist
Critical demand
Turn raw data into decisions that move businesses forward
Data Scientist (Applied)
Growing
A developer specializing in applied data science on business problems.
ESG Data Analyst
Growing
Build ESG data pipelines and reporting for investors and regulators
Biostatistician
Growing
Design clinical studies and analyze data to determine whether new treatments are safe and effective
Data Engineer
Growing
An engineer specializing in building and operating data pipelines and warehouses.
Statistician
Growing
Design experiments and analyze data to extract meaningful patterns and insights
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