Data Scientist (Subject Matter Expert)

Job Description

Job Description

Overview

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 using scientific techniques to correlate data into graphical, written, visual, and verbal narrative products to enable more informed analytic decisions. The successful candidate will demonstrate a refined ability to define problems, supervise studies, and lead surveys to collect and analyze data to provide advice and recommend solutions. Additionally, the candidate 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 will be based out of Washington, D.C. or the greater National Capital Region (NCR) and is an opportunity to get in on the “ground level” of a new and exciting program with one of our customers.

Responsibilities

In addition to the above, duties for this position typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Perform statistical analysis, apply data mining techniques, and build high quality prediction systems. The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Additionally, the candidate should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.

Qualifications

• Must possess a TS/SCI clearance with a CI poly

• Master’s degree in data science, data engineering, mathematics, or another related field (an additional 5 years of experience may be substituted for this requirement)

• Minimum of 12 years of experience conducting analysis using data science or engineering, with at least a portion of experience within the last 2 years

• Deep understanding and experience using Python, R, and/or SQL

• Prior experience with large data, multi-INT analytics, machine learning, and automated predictive analytics

• Demonstrable leadership and management experience on teams of junior to mid-range data scientists, engineers, or analysts