BigBear.ai is seeking a Data Scientist Subject Matter Expert (SME) to lead a team of data scientists and engineers conducting data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to translate data into graphical, written, visual, and verbal narrative products that enable more informed analytic decisions. The successful candidate will define problems, supervise studies, and lead surveys to collect and analyze data to provide advice and recommended solutions. The role will also demonstrate analytic leadership and expertise in identifying, planning, developing, and executing analytic production methodologies, tradecraft, and techniques aligned with the customer's mission. This position is based in Washington, D.C. or the National Capital Region (NCR). Responsibilities include creating ML-based tools or processes, such as recommendation engines or automated lead scoring systems; performing statistical analysis, applying data mining techniques, and building high quality prediction systems. The candidate should be skilled in data visualization and the use of graphical applications, including Power BI and Tableau; major data science languages, such as Python and R; managing and merging disparate data sources, preferably through Python, R, or SQL; and experience with large data, multi-INT analytics, ML, and automated predictive analytics. Qualifications include TS/SCI clearance with a CI poly; a Master's degree in data science, data engineering, mathematics, or a related field (an additional 5 years of experience may sub

BigBear.ai is seeking a Data Scientist Subject Matter Expert (SME) to lead a team of data scientists and engineers conducting data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to translate data into graphical, written, visual, and verbal narrative products that enable more informed analytic decisions. The successful candidate will define problems, supervise studies, and lead surveys to collect and analyze data to provide advice and recommended solutions. The role will also demonstrate analytic leadership and expertise in identifying, planning, developing, and executing analytic production methodologies, tradecraft, and techniques aligned with the customer's mission. This position is based in Washington, D.C. or the National Capital Region (NCR). Responsibilities include creating ML-based tools or processes, such as recommendation engines or automated lead scoring systems; performing statistical analysis, applying data mining techniques, and building high quality prediction systems. The candidate should be skilled in data visualization and the use of graphical applications, including Power BI and Tableau; major data science languages, such as Python and R; managing and merging disparate data sources, preferably through Python, R, or SQL; and experience with large data, multi-INT analytics, ML, and automated predictive analytics. Qualifications include TS/SCI clearance with a CI poly; a Master's degree in data science, data engineering, mathematics, or a related field (an additional 5 years of experience may sub