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

Prodapt; San Jose (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Prodapt seeks a Senior Applied Scientist (ORSA) to lead large-scale optimization in inventory allocation and replenishment for retail supply chains in a US-based role. You will architect optimization frameworks, translate business constraints into mathematical models, and guide a team of applied scientists across regions.

The candidate brings 7+ years of experience in operations research, strong Python skills, and proficiency with Gurobi/CPLEX, AWS SageMaker, and related tools.

Qualifications

• MS/PhD in OR or related field preferred.
• Bachelor’s in CS/Engineering or related field required/strongly preferred.
• 7+ years as Applied Scientist with optimization/OR focus.

Responsibilities

• Lead optimization architecture: problem formulation, solver selection, constraint modeling.
• Own the mathematical framework for optimized allocation plans with business constraints.
• Architect multi-objective optimization balancing in-stock rates, inventory turns, and costs.
• Guide the optimization team on problem decomposition and solution approaches per region.
• Interface with customer supply chain planning on constraint definition and business rule translation.

Skills

Optimization

Mathematical modeling

Python

Leadership/mentoring

Retail supply chain

Education

MS in Operations Research or PhD in related field

Bachelor’s degree in Computer Science or Engineering

Tools

Gurobi

CPLEX

AWS SageMaker

Optimization tools

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 ToWork® 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.

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 ToWork® 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)