Sr. Data Scientist

BigBear.ai, Inc.
McLean, VA, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Big Data Information Engineering Data Mining Data Visualization Python (Programming Language) Machine Learning Microsoft Office Recommender Systems Power BI SQL Databases
+2 more
Tableau (Software) Data Analytics

Job description

BigBear.ai is seeking a Senior 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 ā€œground levelā€ of a new and exciting program with a critical Department of War (DoW) customer.

Requirements

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 8 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

What we’d like you to have

  • 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)

  • At least 12 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 the US Intelligence Community

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on juju.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou Ā· Coffee With Developers

2:31 min

Data mining literary works for language patterns

Jen Looper Jen Looper Ā· Europe 2026 Virtual

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz Ā· Europe 2026 Virtual

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy Ā· LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt Ā· LIVE

4:25 min

Analyzing web accessibility data at scale

Karl Groves Karl Groves Ā· LIVE

Videos

See all

Related articles

See all