Data Scientist

Role overview Develop advanced analytics and data science solutions for a federal customer, turning large and complex datasets into models, simulations, and visualizations that support decisions. The work spans the full analytics pipeline, from validating methods to delivering insights through custom applications, as part of a collaborative data science team.

Responsibilities - Apply and validate data mining approaches and machine learning models. - Build analytical methods, data models, and visualizations for customer needs. - Develop quantitative simulations and descriptive or predictive models to inform recommendations. - Analyze large datasets to identify patterns, trends, and potential problems. - Keep current with techniques in machine learning, statistics, and analytics. - Work alongside data scientists and consultants to deliver project assignments.

Requirements - At least 7 years of relevant applied research or quantitative experience in fields such as data science, machine learning, statistics, mathematics, computer science, or operations research. - A master’s degree in a related quantitative discipline. - Demonstrated experience with machine learning, data mining, databases, and data visualization. - Experience with methods such as anomaly detection, clustering, entity resolution, risk modeling, network analysis, or cohort analysis. - Strong SQL skills, including cleaning, managing, and optimizing large-scale data processing. - Experience with Qlik or comparable BI tools; familiarity with Databricks or similar distributed data platforms. - Strong written and verbal communication skills. - Ability to obtain required CBP/BI suitability before starting; a Top Secret clearance is preferred.

Benefits and work setup - Fully remote, with preference for candidates in the National Capital Region. - Full-time role; travel for initial onboarding and laptop pickup is expected to take about one day. - Compensation range listed as $117,000–$195,100, with final pay dependent on factors including experience, skills, location, education, and contract requirements. - Benefits may include health and life insurance, paid time off, holidays, disability coverage, retirement savings, learning opportunities, and wellness programs.