Data Scientist - Journeyman

Overview BigBear.ai • Honolulu, HI

3d

About The Position

BigBear.ai is seeking a Journeyman Data Scientist to support a Department of the Army enterprise data team by delivering advanced analytics, predictive modeling, and secure AI/ML integration. In this role, you will apply rigorous statistical methods and modern machine learning (including NLP and Generative AI) to forecast operational trends, inform executive decisions, and develop high-fidelity models, dashboards, and cognitive agents across multiple classification enclaves. You will collaborate closely with Data Architects and Data Engineers to build on standardized, governed data pipelines and help maintain trusted “single source of truth” repositories in accordance with strict security and classification protocols.

Requirements

• Must maintain an active DoD TS/SCI security clearance
• 5+ years of experience in applied statistics, predictive modeling, ML, or quantitative research
• Bachelor’s degree in quantitative field (Statistics, Applied Mathematics, or Physics; Electrical, Systems, Industrial, or Computer Engineering; Computer Science (with strong mathematics focus); Operations Research or Econometrics)
• Demonstrated experience and proficiency working in Python, R, and SQL for analysis/modeling/EDA
• Demonstrated knowledge and application of forecasting, regression, and modern ML frameworks (scikit‑learn, TensorFlow, PyTorch)
• Experience working with LLMs/Generative AI within secure, governed enterprise boundaries
• Experience with creating executive‑level data storytelling via visualizations/dashboards

Nice To Haves

• Experience working within enterprise big data platforms, especially Palantir Foundry (Contour, Workshop, Quiver); or Databricks, Snowflake
• Familiarity with the Defense/Intelligence sector, including Headquarters operations and intelligence data structures/sources
• Experience in data cataloging/master data management and metadata practices as prerequisites for AI/ML deployment
• Master’s degree in quantitative field (Statistics, Data Science, Operations Research, OR Applied Mathematics, or related)

Responsibilities

• Build, test, and deploy machine learning and statistical models (e.g., forecasting, classification, regression) to answer mission-critical questions and improve decision-making
• Conduct exploratory data analysis (EDA) to identify trends, anomalies, data quality issues, and operational drivers across complex, multi-source datasets
• Develop and operationalize features and model pipelines in partnership with data engineers, ensuring solutions are scalable, maintainable, and reproducible in secure environments
• Apply NLP and modern AI techniques (including governed LLM/GenAI patterns where approved) to extract insight from unstructured text, reports, and messaging data
• Create clear, executive-ready analytic products (dashboards, visualizations, and briefings) that translate technical results into actionable recommendations
• Work across multiple classification enclaves while complying with all security, handling, and documentation requirements
• Collaborate with stakeholders to refine problem statements, define measures of success, and validate that analytic outputs align to operational needs
• Monitor and improve model performance over time, including drift detection, recalibration, and documentation of assumptions and limitations

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level