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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing optimization models and prescriptive analytics solutions to enhance supply chain efficiency. Capable of leading technical teams, mentoring data scientists, and effectively communicating complex concepts to senior leadership.
Highest-signal resume keywords
Optimization Model DesignAdvanced Analytics ExpertiseLinear And Mixed-Integer OptimizationExperience With Pyomo, Gurobi, CPLEXActive SECRET Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Prescriptive AnalyticsStochastic OptimizationMulti-Objective OptimizationModel Performance MetricsData ScienceForecastingScenario AnalysisSensitivity StudiesModel Lifecycle Management
Soft Skills
Excellent Communication SkillsTechnical LeadershipMentorship
Tools & Technologies
Army VantageAWS GovCloudOR-Tools
Certifications & Qualifications
PMPSAFe/Agile Certifications
Industry Keywords
DoD LogisticsSupply Chain ManagementAmmunition SystemsOperational Constraints
Tech Stack
Tools & technologiesAWSCloudPMP
About the role
Key responsibilities & impact- Serve as the lead technical expert for optimization and advanced analytics within the portfolio.
- Design and implement prescriptive analytics solutions, especially optimization models, to set safety stock levels, recommend resupply quantities, and balance risk and cost across the supply chain.
- Recommend ideal resupply quantities by installation and ammunition type.
- Align regional inventory to demand, reduce excess shipments and storage waste, and safeguard against stock-outs.
- Advance Army analytics from descriptive/diagnostic to predictive/prescriptive analytics, ensuring models are operationally actionable.
- Formulate, implement, and tune linear, mixed-integer, stochastic, and multi-objective optimization models with logisticians and ammunition SMEs.
- Account for forecasted demand, available depot stock, transportation costs, storage constraints, depot capacity, readiness priorities, surge requirements, and other operational constraints.
- Collaborate with data engineers to ensure clean, timely pipeline inputs and embed optimization models into application and Army Vantage workflows.
- Design and implement model performance metrics and KPIs and conduct near real-time monitoring of model impact.
- Lead experimentation, scenario analysis, and sensitivity studies.
- Provide technical leadership and mentorship to journeyman data scientists.
- Support briefings to senior Army leadership and stakeholders, explaining model design, trade-offs, and operational impact.
Requirements
What you’ll need- Bachelor's degree in operations research, industrial engineering, applied mathematics, statistics, computer science, or related quantitative field; masters or PhD.
- 7+ years of experience in advanced analytics, operations research, or data science, with direct responsibility for optimization model design and deployment.
- Demonstrated expertise in linear and mixed-integer optimization, stochastic optimization, and/or robust optimization.
- Experience with modeling tools and libraries such as Pyomo, Gurobi, CPLEX, OR-Tools, or similar.
- Experience integrating optimization models with predictive models, including ML-driven demand forecasts.
- Proven experience translating complex mission and business objectives into formal optimization formulations and delivering production-caliber solutions.
- Experience working with cross-functional teams in an Agile environment.
- Excellent written and oral communication skills, including experience briefing senior leaders and explaining trade-offs to non-technical audiences.
- Active SECRET clearance.
- U.S. citizenship required.
- Desired: Experience in DoD logistics, supply chain, or munitions management; familiarity with Army ammunition systems and processes.
- Desired: Prior work with enterprise data platforms such as Army Vantage or Army Data Platform and AWS GovCloud or similar secure cloud environments.
- Desired: Familiarity with model lifecycle management, including validation, verification, and continuous improvement processes in operational environments.
- Desired: PMP and/or SAFe/Agile certifications.