AI/ML Technical Lead – Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Offer hands-on technical leadership for the three necessary AI/ML models utilizing CASCOM, GCSS-Army, SAP, and various Army data sources.

• The individual must be proficient in coding, evaluating, deploying, and maintaining models—going beyond merely leading strategic discussions.

• Possible use cases encompass GenAI/OpenAI, Copilot, SAP ECC search, document extraction, anomaly detection, equipment-readiness forecasting, maintenance forecasting, fleet automation, and supply forecasting.

• Oversee the selection and enhancement of the three foundational AI/ML use cases.

• Determine the mission question, data requirements, technical baseline, performance metrics, and acceptance criteria for each model.

• Conduct data exploration, feature engineering, model development, comparative evaluation, and error analysis.

• Collaborate with the GCSS-Army Subject Matter Expert (SME) to validate business rules and interpret model outcomes.

• Partner with the Azure Data/MLOps Engineer to package, deploy, monitor, version, and sustain models.

• Develop GenAI, RAG, forecasting, anomaly detection, or recommendation features as chosen.

• Implement human-review processes where model outputs influence operational decisions.

• Create model cards, evaluation findings, known limitations, release documentation, and criteria for retraining.

• Assist in integrating model insights into dashboards and Power Apps.

• Engage in demonstrations and CASCOM production-readiness assessments.

• Capability to work remotely during standard Government hours and attend daily status, requirements, development, and technical review sessions.

• Willingness to travel to Fort Lee, Virginia, at least three times a year and be onsite more frequently if required.

⛳️ Requirements

• Active Secret clearance.

• Practical experience in production AI/ML development.

• Proficient in Python and SQL.

• Proven experience in taking at least one model from requirements to production or operational deployment.

• Familiarity with Azure-based AI/ML services or a similar cloud environment.

• Ability to articulate model evaluation, deployment, monitoring, and retraining processes.

• Bachelor’s degree in computer science, data science, statistics, mathematics, operations research, engineering, or a related field; equivalent specialized experience may be accepted.

• A minimum of seven years in data science, machine learning, advanced analytics, or applied AI.

• At least four years of experience in developing machine-learning solutions.

• Experience delivering a minimum of three significant models or AI capabilities, with at least one in production.

• Strong skills in Python, SQL, pandas, NumPy, scikit-learn, and at least 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 in defining measurable model-performance criteria.

• Knowledge of feature engineering, training, validation, test data, error analysis, explainability, and model documentation.

• Strong preference for Azure Machine Learning, Azure OpenAI, Azure AI Search, Microsoft Copilot, or similar Azure AI services.

• Background in defense logistics, maintenance, readiness, fleet, supply chain, acquisition, property, or financial analytics.

• Familiarity with GCSS-Army, SAP ECC, ERP, or maintenance-system data.

• Experience with classified or Government-cloud deployment.

• Skills in model monitoring, drift detection, bias testing, red teaming, or human-in-the-loop validation.

• Integration experience of model outputs with Power BI, Power Apps, APIs, or operational applications.

• Proficient in briefing technical results to operational users and senior leaders.

🏝️ 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.