Data Scientist (Cleared)

Overview 

We are seeking a Data Scientist to support federal government trade, analytics, and mission transformation priorities by designing and implementing data-driven solutions that turn complex data into actionable insights. This role will support mission and operational users by applying statistical analysis, complex data mining, artificial intelligence, machine learning, predictive analytics, data modeling, and visualization techniques across large and complex data environments. 

The ideal candidate brings hands-on experience developing analytical models, performing exploratory data analysis, building visualizations, and supporting advanced analytics projects from requirements through delivery. This role requires a data scientist who can work independently, collaborate with senior data scientists and multidisciplinary technical teams, and communicate analytical methods, findings, and recommendations clearly to technical and non-technical stakeholders. 

Location 

This role will primarily support work in the Washington, DC Metro area, with work expected at or near the client site in Ashburn, VA as required by the contract. Telework may be permitted only with prior government approval. 

Security Requirement 

Must be a U.S. Citizen with a recent DHS Public Trust, DoD Secret, or DoD Top Secret clearance, and must be able to obtain and maintain a CBP background investigation or other required government suitability determination. 

What You Will Do 

• Apply statistical analysis, complex data mining, artificial intelligence, machine learning, and advanced analytics techniques to support complex mission and operational questions 

• Design and implement data-driven solutions, including analytical models, data models, simulations, visualizations, and decision-support products 

• Transform raw data from multiple sources into concise, actionable insights for government stakeholders, analysts, and mission users 

• Develop descriptive and predictive analytics solutions to identify trends, anomalies, risks, and emerging patterns in large and complex datasets 

• Apply and validate data mining methods and machine learning models to support operational analysis, reporting, and data visualization 

• Support development of entity resolution, risk-based analysis, entity behavior over time, network analysis, cohort analysis, anomaly detection, and related analytical models 

• Conduct exploratory data analysis, feature engineering, statistical testing, model development, model evaluation, and documentation 

• Develop reports, dashboards, visualizations, and analytical summaries that communicate key findings, assumptions, limitations, and recommendations 

• Work with senior data scientists to evaluate stakeholder requirements, identify feasible analytical approaches, and develop model-based or data-driven solutions 

• Collaborate with data analysts, data engineers, data architects, application developers, UX/UI designers, and project managers to deliver end-to-end analytical capabilities 

• Support development of implementation roadmaps, data exploration results reports, model prototype and evaluation reports, final code-reviewed models, and final model analysis reports