Data Scientist

Role overview Develop advanced analytics and data science solutions for a federal customer, including machine learning pipelines, quantitative models, and interactive visualizations. The role combines hands-on analysis of large datasets with collaboration across a data science project team to inform descriptive and predictive recommendations.

Responsibilities - Apply and validate data mining approaches and machine learning models. - Design data-driven solutions, analytical methods, data models, and visualizations. - Build quantitative simulations and models to support descriptive and predictive analysis. - Analyze complex datasets to identify trends, anomalies, and other issues. - Keep current with developments in machine learning, statistical modeling, and analytics. - Collaborate with data scientists and consultants on project work and customer needs.

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

Benefits and work setup - Fully remote, full-time position, with preference for candidates in the National Capital Region. - One day of travel may be needed for initial onboarding and equipment pickup. - Benefits may include health and life insurance, paid time off, holidays, disability coverage, retirement savings, learning opportunities, and wellness programs.