Data Scientist/Data Analyst

About the Role We're looking for a Data Scientist to join our team supporting the BioSurveillance Integration Platform (BIP). In this role, you'll develop, test, and deploy machine learning and statistical models that turn structured and unstructured mission data into actionable insight for biosurveillance, force health protection, and mission decision-makers — including in constrained or disconnected tactical environments. This role follows a phased work arrangement: fully remote during Phase 1 (stand-up and early build), transitioning to hybrid during Phase 2 to support integration, testing, and delivery milestones. What You'll Do Develop, test, and deploy machine learning and statistical models supporting mission use cases Build and maintain data pipelines supporting model training and inference Apply data cleansing, feature engineering, and transformation techniques Analyze structured and unstructured datasets to generate insights for biosurveillance and force health protection Build dashboards and analytic products that translate model output into operationally useful information Adapt models and inference pipelines for edge, austere, and tactical environments with limited bandwidth, compute, or connectivity Document methodologies, models, and results for technical and non-technical audiences Support model risk reviews, bias assessments, and AI assurance activities What You'll Need Bachelor's degree, or equivalent relevant experience 5+ years of experience in data science, analytics, or machine learning Proficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) Experience with statistical analysis, predictive modeling, and data visualization Familiarity with data engineering concepts and large datasets Experience deploying models into production and understanding of MLOps practices Active Secret clearance, with ability to maintain it throughout the period of performance U.S. Citizenship Nice to Have Master's or doctoral degree in Data Science, Statistics, Computer Science, Applied Mathematics, Epidemiology, or related field Cloud ML certification (AWS, Azure, or Google Cloud) Prior experience on DoD or federal AI/ML programs Experience with Palantir Foundry, Maven Smart System, or similar federated analytic environments Familiarity with biosurveillance, epidemiology, public health, or force health protection analytics Experience with MLOps tooling (MLflow, Kubeflow, SageMaker, Vertex AI) Familiarity with model risk management, explainability methods, and AI assurance frameworks (e.g., NIST AI RMF) Tools & Platforms Python ML stack (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch), Palantir Foundry, Maven Smart System, AWS SageMaker, Azure ML, Vertex AI, Jira, Confluence, Git, Microsoft Office 365 Pay: $50,000.00 - $70,000.00 per year Benefits: 401(k) 401(k) matching Health insurance Life insurance Referral program Work Location: Hybrid remote in Omaha, NE 68127