AI/ML Technical Lead / Senior Data Scientist

Role Description

Provide hands-on technical leadership for the three required AI/ML models using CASCOM, GCSS-Army, SAP, and other Army data. This person must be capable of coding, evaluating, deploying, and sustaining models—not merely leading strategy discussions.

The potential use cases include:

• GenAI/OpenAI
• Copilot
• SAP ECC search
• Document extraction
• Anomaly detection
• Equipment-readiness forecasting
• Maintenance forecasting
• Fleet automation
• Supply forecasting

Qualifications

• 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 the following:
• 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.

Requirements

• Strong preferences for:
• 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.

Company Description

We are a growing information technology company that offers its employees a culture of success, the chance to work on revolutionary federal IT infrastructure, and the opportunity to grow alongside cutting-edge technology that is reshaping the industry. We are known for the great care we take with clients and employees, and we believe in promoting from within.