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# Lead Data Scientist

- **Company:** BigBear.ai, Inc.
- **Location:** Norfolk, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Databases, Data Visualization, Distributed Computing Environment, Python (Programming Language), Machine Learning, Meta-Data Management, Natural Language Processing, Power BI, SQL Databases, Tableau (Software), Enterprise Data Management, Cloud Platform System, Apache Spark, Git, Information Technology, Data Analytics, Non-relational Database, Software Version Control, Devsecops, User Administration, Databricks, Programming Languages
- **Published:** October 28, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88736423/1

## About the Role

+ Bachelor's degree in Data Science, Computer Science, Applied Mathematics, Statistics, or related field with 8-10 years of experience; OR
 + Master's degree with 6-8 years of experience; OR
 + PhD with 3-5 years of experience.
 * Strong experience in designing and implementing machine learning models and statistical techniques.
 * Expertise in Python, R, or equivalent programming languages for data analysis and modeling.
 * Proficiency in SQL and working with relational/non-relational databases.
 * Experience with distributed computing frameworks such as Spark or Databricks.
 * Familiarity with cloud platforms such as AWS (SageMaker, Redshift, Glue) or Azure equivalents.
 * Strong knowledge of data visualization tools such as Tableau, Power BI, or equivalent.
 * Experience with version control practices (Git).
 * Ability to work with structured, semi-structured, and unstructured data sources.

What we'd like you to have

 * Experience supporting DoW enterprise data platforms.
 * Familiarity with RMF, NIST 800-53, and DoD IL-level cloud environments.
 * Experience with natural language processing (NLP) and computer vision techniques.
 * Knowledge of metadata management, data cataloging, and governance tools.
 * Experience operating within Agile or DevSecOps environments in government programs.

## Description

Due to the requirement for active, on-site customer engagement and the sensitive nature of our data and applications, the work location for this role is in Norfolk, Virginia.
What you will do

As a Lead Data Scientist at BigBear.AI, you will lead the design, development, and implementation of advanced analytical models and techniques to solve complex problems using massive datasets. You will creatively explore, mine, analyze, and manipulate data to uncover actionable insights, develop innovative solutions, and enable decision-making across mission-critical DoW operations.

You will collaborate with stakeholders, data engineers, and analysts to ensure seamless integration of analytical solutions into operational workflows. You will also communicate results in a manner that is broadly understandable, enabling stakeholders to act on insights effectively., * Plan and perform the determination of appropriate methods to creatively explore, mine, analyze, and manipulate extremely massive datasets.

 * Develop and analyze modeling and measuring techniques using mathematics, machine learning, statistical methods, and engineering approaches to discover multiple solutions to complex problems.
 * Design and implement advanced predictive, prescriptive, and descriptive models to support mission-critical decision-making.
 * Create user-friendly reports and dashboards using various databases, analyses, programs, and scripts.
 * Collaborate with data engineers to ensure connectivity and integration between various databases, programs, and systems.
 * Work closely with stakeholders to understand analytical problems and develop tailored solutions.
 * Communicate results and insights in a clear, concise, and broadly understandable manner to technical and non-technical audiences.
 * Stay current with emerging trends and technologies in data science, machine learning, and artificial intelligence.
 * Provide technical leadership and mentorship to junior data scientists and analysts.