Data Scientist, Lead

Job Description

Job Description

Overview

BigBear.ai is seeking a Data Scientist to conduct 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 proactively retrieve information from various sources, analyze it for better understanding, and assist with building AI tools that automate key processes. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the “ground level” of a new and exciting program with a critical Department of War (DoW) customer.

All applicants must currently reside in the United States.

Responsibilities

Duties 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 (or ability to obtain)

• Bachelor’s degree in data science, data engineering, mathematics, or another related field

• Minimum of 3 years of experience conducting analysis using data science or engineering (an additional 4 years of experience may be substituted for the above education requirements)

• Deep understanding and experience using Python and/or R

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