AI/ML Technical Lead / Senior Data Scientist

Job Description

Location: Saint Louis, MO

• Remote

Job Title: AI/ML Technical Lead / Senior Data Scientist

Role: Provide hands-on technical leadership for three required AI/ML models using CASCOM, GCSS-Army, SAP, and other Army data. Must be capable of coding, evaluating, deploying, and sustaining models—not merely leading strategy discussions. Potential use cases include GenAI/OpenAI, Copilot, SAP ECC search, document extraction, anomaly detection, equipment-readiness forecasting, maintenance forecasting, fleet automation, and supply forecasting.

Requirements

• Active Secret clearance
• Hands-on production AI/ML development
• Strong Python and SQL capability
• Experience taking at least one model from requirements through production or operational deployment
• Experience with Azure-based AI/ML services or a comparable cloud environment
• Able to explain model evaluation, deployment, monitoring, and retraining
• Bachelor’s degree in computer science, data science, statistics, mathematics, operations research, engineering, or a related discipline; equivalent specialized experience may substitute
• Seven or more years in data science, machine learning, advanced analytics, or applied AI
• Four or more years developing machine-learning solutions
• Experience delivering at least three substantive models or AI capabilities, with at least one in production
• Strong Python, SQL, pandas, NumPy, scikit-learn, and one major ML or deep-learning framework
• Experience with two or more of: forecasting, anomaly detection, classification, recommendation engines, optimization, document extraction, NLP, RAG, or GenAI
• Experience defining measurable model-performance criteria
• Experience with feature engineering, training, validation, test data, error analysis, explainability, and model documentation

Strong Preferences

• Azure Machine Learning, Azure OpenAI, Azure AI Search, Microsoft Copilot, or comparable Azure AI services
• Defense logistics, maintenance, readiness, fleet, supply chain, acquisition, property, or financial analytics
• GCSS-Army, SAP ECC, ERP, or maintenance-system data
• Classified or Government-cloud deployment
• Model monitoring, drift detection, bias testing, red teaming, or human-in-the-loop validation
• Integration of model outputs with Power BI, Power Apps, APIs, or operational applications
• Experience briefing technical results to operational users and senior leaders

Principal Responsibilities

• Lead selection and refinement of the three baseline AI/ML use cases
• Define the mission question, data requirement, technical baseline, performance metric, and acceptance criteria for each model
• Perform data exploration, feature engineering, model development, comparative evaluation, and error analysis
• Work with the GCSS-Army SME to validate business rules and interpret model results
• Work with the Azure Data/MLOps Engineer to package, deploy, monitor, version, and sustain models
• Develop GenAI, RAG, forecasting, anomaly detection, or recommendation capabilities as selected
• Establish human-review procedures where model outputs affect operational decisions
• Prepare model cards, evaluation results, known limitations, release documentation, and retraining criteria
• Support integration of model findings into dashboards and Power Apps
• Participate in demonstrations and CASCOM production-readiness reviews

Location and Work Expectations: Ability to work remotely during normal Government working hours and participate in daily status, requirements, development, and technical-review sessions. Ability to travel to Fort Lee, Virginia, at least three times annually and report onsite more frequently if directed.

Benefits: Competitive Employee Health Insurance options including dental, 100% company paid vision plan, 401K plan with generous company match and no vesting period, 100% company paid life insurance, 100% company paid long and short-term disability insurance, training allowance, PTO and more.