Top Entry Level Data Science Jobs in Washington, DC

Analyze data to identify trends and anomalies, develop machine learning and statistical models, perform data parsing and ETL with Python and SQL, create dashboards, and collaborate with data engineers. The role emphasizes NLP, LLM, and Generative AI applications, quantitative analysis, model validation, and experimentation with emerging tools for federal clients.

Supports DHS clients through data science consulting, including Power BI dashboard development, data cleaning with R and Python, analytics solution maintenance, reporting, and predictive analytics. The role balances ad hoc client requests with business development and internal initiatives, while communicating technical findings to nontechnical audiences. Candidates must hold a bachelor’s degree, use R or Python, and obtain and maintain a Federal or DHS Public Trust.

Develop advanced analytical models, predictive forecasts, and AI/ML capabilities supporting Navy Reserve readiness and mission assurance. Build analytics products, dashboards, and visualizations; apply statistical analysis, machine learning, data mining, and predictive modeling to identify risks and optimize resources. Collaborate with engineers, analysts, and government stakeholders, evaluate emerging technologies, communicate recommendations, and potentially lead analytic workstreams.

Analyze federal workforce data and position descriptions using statistical modeling, NLP, machine learning, and text analytics. Develop dashboards, visualizations, and reports; map duties and skills to job series and grade levels; validate findings with HR professionals and leadership; and provide recommendations supporting accurate, compliant job classification and reclassification decisions.

Develops data pipelines, curates and analyzes large datasets, builds quantitative models, validates data and results, and deploys analytics solutions with product teams. Responsibilities include discovering useful datasets, ensuring data quality and reliability, supporting customer-driven requirements, and integrating solutions into interconnected systems. The role requires strong Python and data-handling skills, database expertise, large-scale batch processing experience, and U.S. citizenship.