Senior Applied Scientist - Operations Research & Systems Analysis (ORSA)

Prodapt
  • San Jose, California
    5 days ago

    Job Description

    Overview:

    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.
    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
    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
    Preferred:
    • Store allocation / replenishment system experience
    • Familiarity with agentic AI frameworks
    • AWS data/ML stack (SageMaker, Step Functions, Lambda)
     

    Numbers & Facts

    LocationSan Jose, California

    Skills

    • AWS Lambdaunmatched
    • Amazon Web Services (AWS)unmatched
    • Artificial Intelligence (AI)unmatched
    • Business Planunmatched
    • Channel Strategiesunmatched
    • Computer Scienceunmatched
    • Consultingunmatched
    • Customer Relationsunmatched
    • Inventory Turnsunmatched
    • Leadershipunmatched
    • Mathematical Modelingunmatched
    • Mathematicsunmatched
    • Mentoringunmatched
    • Operations Researchunmatched
    • Reengineeringunmatched
    • Retailunmatched
    • Retail Operationsunmatched
    • Scientific Researchunmatched
    • ServiceNowunmatched
    • Supply Chain Managementunmatched
    • Supply Chain Operationsunmatched
    • Supply Chain Optimizationunmatched
    • Systems Analysisunmatched
    • Technical Strategyunmatched
    • Technical Supportunmatched

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