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Bigbear.ai

Operational AI platform for decision support

Lead Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeNorfolk, VA, USANo salary listed

About the Job

Requirements

  • An active Secret security clearance with eligibility for Top Secret/Sensitive Compartmented Information is required.
  • A Bachelor's degree in Data Science, Computer Science, Applied Mathematics, Statistics, or a related field with 8–10 years of experience; alternatively, a Master's degree with 6–8 years of experience; or a PhD with 3–5 years of experience is required, with no substitutions.
  • Strong experience designing and implementing machine learning models and statistical techniques is required.
  • Expertise in Python, R, or equivalent programming languages for data analysis and modeling is required.
  • Proficiency in SQL and experience working with relational and non-relational databases are required.
  • Experience with distributed computing frameworks such as Spark or Databricks is required.
  • Familiarity with cloud platforms such as AWS (SageMaker, Redshift, Glue) or Azure equivalents is required.
  • Strong knowledge of data visualization tools such as Tableau, Power BI, or equivalent is required.
  • Experience with version control practices such as Git is required.
  • Ability to work with structured, semi-structured, and unstructured data sources is required.
  • Applicants must currently reside in the United States.

Responsibilities

  • Plan and perform the selection of appropriate methods to explore, mine, analyze, and manipulate extremely large 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 databases, analyses, programs, and scripts.
  • Collaborate with data engineers to ensure connectivity and integration between databases, programs, and systems.
  • Work with stakeholders to understand analytical problems and develop tailored solutions.
  • Communicate results and insights clearly and concisely 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.

Desired Qualifications

  • Experience supporting Department of War enterprise data platforms is desirable.
  • Familiarity with the Risk Management Framework, NIST 800-53, and Department of Defense impact-level cloud environments is desirable.
  • Experience with natural language processing and computer vision techniques is desirable.
  • Knowledge of metadata management, data cataloging, and governance tools is desirable.
  • Experience operating within Agile or DevSecOps environments in government programs is desirable.

About the Company

Bigbear.ai

Operational AI platform for decision support

BigBear.ai builds operational AI software that helps organizations improve decision-making, cyber operations, and business agility. Its platform combines AI-driven analytics on an organization’s data with external inputs to give a full, real-time view of the environment, uncover new insights, and produce accurate predictions. The product works by integrating data from internal systems and external sources, applying advanced analytics to surface actionable intelligence, and enabling fast, informed actions in complex settings. What sets BigBear.ai apart is its depth of expertise in operational AI and its ability to optimize existing data with additional inputs, delivering data mining and predictive capabilities that go beyond traditional intelligence tools. Its goal is to help clients succeed in mission-critical environments—such as government intelligence, healthcare, and manufacturing—by improving efficiency, risk management, and operational performance.

Company size
501-1,000
Company stage
IPO
Headquarters
Tysons, VA
Founded
2020

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