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Bigbear.ai Holdings Inc

Data Scientist, Lead

Washington, Washington, DC, US

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What you’ll work on

Full posting

  • Perform statistical analysis, apply data mining techniques, and build high quality prediction systems.

From the employer’s posting
What you will do 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. What you need to have

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Tools in this posting

  • python
  • r
  • sql
  • tableau
  • powerbi
Source — Tool mentions in context
What you will do 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. What you need to have
- 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

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Location & working pattern

Washington, Washington, DC, US

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Posting history
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First seen by us
Sep 10, 2026
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Job description

Residency

All applicants must reside in the United States at the time of application.


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) customers.


What you will do

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.


What you need to have

  • 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


What we'd like you to have

  • Current CI poly

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

  • At least 8 years of experience conducting analysis using data science or engineering, with at least a portion of experience within the last 2 years

  • Experience working creating products for Object Based Intelligence purposes

  • Experience within the DoW and/or US Intelligence Community


Pay transparency

Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.


About BigBear.ai

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

 

BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.