Sr. Predictive Analytics Lead

eTRANSERVICES is currently bidding on this position. This position is contingent upon the successful award of a contract or bid proposal. While we are actively reviewing candidates, please be advised that the position will only be officially offered once the contract/bid has been awarded. ACTIVE SECRET CLEARANCE REQUIRED. MUST BE A US CITIZEN Position summary Lead Task 6 advanced predictive and prescriptive analytics for sustainment forecasting, operational optimization, risk mitigation, and decision support. You will work with the core AI/ML, Azure, BI, and Power Platform team to deliver operationally useful capabilities. What you will do Develop and integrate predictive models for parts availability, personnel allocation, equipment readiness, fleet management, shop stock, maintenance, and supply-chain risk. Design recommendation engines and AI-enabled workflows that improve repair actions, resource allocation, maintenance scheduling, procurement, and replenishment decisions. Implement anomaly-detection and risk-assessment methods that identify bottlenecks, inefficiencies, and potential disruptions. Define model acceptance criteria, performance measures, human-review controls, and model-improvement methods. Partner with the Azure Engineer on data pipelines and model deployment; partner with BI and Power Apps teams on user-facing delivery. Document analytical methods, validation results, operational limitations, and sustainment procedures. Required qualifications Active U.S. DoD SECRET security clearance required at the time of application. Ability to satisfy applicable DD Form 254, CAC, installation access, information assurance, AT/OPSEC, and other task-order access requirements. Strong written and oral communication skills and ability to work effectively with technical and mission stakeholders. Bachelor’s degree in data science, computer science, engineering, mathematics, operations research, or related discipline. 8+ years of machine learning, predictive analytics, operations research, decision science, or AI solution-development experience. Advanced Python, SQL, forecasting, model evaluation, and stakeholder-validation skills. Preferred qualifications Master’s degree in a relevant field. Experience with maintenance, logistics, readiness, supply chain, fleet management, model risk, MLOps, or federal/DoD analytics. #J-18808-Ljbffr eTRANSERVICES Corp