Senior Applied Scientist - Operations Research & Systems Analysis (ORSA)
About The Position
Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally. We are seeking an experienced Senior Applied Scientist (ORSA) with deep expertise in optimization, mathematical modeling, and retail supply chain operations to drive large-scale inventory allocation and replenishment strategies.
Requirements
- Operations Research (MS or PhD preferred), strong optimization foundation
- Bachelor’s degree in Computer Science, Engineering, or a related field; OR equivalent combination of education and relevant experience.
- Hands-on 7+ years of experience as Applied Scientist with expertise in Operations Research & Systems Analysis.
- Solver experience: Gurobi, CPLEX, or equivalent
- Translating business constraints into mathematical formulations
- Python, advanced numerical computing
- Experience leading or mentoring applied scientists
- Retail supply chain or inventory optimization domain knowledge
Nice To Haves
- Store allocation / replenishment system experience
- Familiarity with agentic AI frameworks
- AWS data/ML stack (SageMaker, Step Functions, Lambda)
Responsibilities
- Lead the optimization architecture: problem formulation, solver selection, constraint modeling
- Own the mathematical framework generating optimized allocation plans incorporating business constraints
- Architect multi-objective optimization balancing in-stock rates, inventory turns, and operational costs
- Guide the optimization team on problem decomposition and solution approach per region
- Interface with customer supply chain planning teams on constraint definition and business rule translation
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What This Job Offers
Job Type
Full-time
Career Level
Senior
