Data Scientist Role
Core
Data Scientists transform complex data into evidence by defining measurement strategies, selecting statistical or machine learning methods, and communicating results to stakeholders.
Role type
Data Scientist (Research & Analysis)
Builds
Forecasting, classification, risk, anomaly-detection, segmentation, causal, simulation, or optimization models; reproducible analytical pipelines and decision briefings.
Domain
Federal sector / Data Science
Deliverable
production ML models | dashboards & analysis
Required skills
Statistics, probability, research design, machine learning, optimization, data preparation, model validation, uncertainty quantification, reproducible coding practices, technical communication
Preferred skills
Experimental design, causal analysis, econometrics, operations research, natural language processing, computer vision, geospatial analysis
Technologies
Python, R, SQL
Responsibilities
Define what should be measured and assess data quality; select and validate statistical or ML methods; examine data bias and quantify uncertainty; document methods and ensure reproducibility; communicate results, limitations, and appropriate uses to technical and nontechnical audiences.
Seniority
Mid-level to Senior, hands-on IC