Senior Data Scientist will conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to translate data into graphical, written, and visual narrative products that enable informed analytic decisions. The successful candidate will proactively retrieve information from various sources, analyze it for understanding, and help build AI tools that automate key processes. This on-site role is based in Washington, D.C. or the greater National Capital Region for a Department of War (DoW) customer. Responsibilities include creating ML-based tools such as recommendation engines and automated lead scoring, performing statistical analysis, applying data mining techniques, and building high-quality predictive systems. The candidate should be proficient in data visualization using Power BI and Tableau, and in major data science languages such as Python and R, as well as SQL for managing and merging disparate data sources. Experience with large data, multi-INT analytics, ML, and automated predictive analytics is preferred. Requirements include: TS/SCI clearance with CI poly (or ability to obtain); Bachelor's degree in data science, data engineering, mathematics, or related field; a minimum of 8 years of experience in data science or engineering, with at least a portion in the last 2 years; deep knowledge of Python, R, and/or SQL; experience with large data, multi-INT analytics, machine learning, and automated predictive analytics. Preferred qualifications include: Master's degree (an additional 5 years of experience may substi
Senior Data Scientist will conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to translate data into graphical, written, and visual narrative products that enable informed analytic decisions. The successful candidate will proactively retrieve information from various sources, analyze it for understanding, and help build AI tools that automate key processes. This on-site role is based in Washington, D.C. or the greater National Capital Region for a Department of War (DoW) customer. Responsibilities include creating ML-based tools such as recommendation engines and automated lead scoring, performing statistical analysis, applying data mining techniques, and building high-quality predictive systems. The candidate should be proficient in data visualization using Power BI and Tableau, and in major data science languages such as Python and R, as well as SQL for managing and merging disparate data sources. Experience with large data, multi-INT analytics, ML, and automated predictive analytics is preferred. Requirements include: TS/SCI clearance with CI poly (or ability to obtain); Bachelor's degree in data science, data engineering, mathematics, or related field; a minimum of 8 years of experience in data science or engineering, with at least a portion in the last 2 years; deep knowledge of Python, R, and/or SQL; experience with large data, multi-INT analytics, machine learning, and automated predictive analytics. Preferred qualifications include: Master's degree (an additional 5 years of experience may substi
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