Operations Research Scientist

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $200,000–$322,000 / yr
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k

This role $261k

$89k most similar roles pay here $347k

This role pays more than 94% of similar roles. Most pay $126,800–$214,737 — the shaded band above. At the midpoint, this role pays about $261k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Operations Research Scientist

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The Operations Research Scientist joins the information technology operations planning team to develop advanced analytics and optimization models for strategic and tactical decision-making regarding supply-chain planning. This role involves designing robust solutions for complex requirements, leading projects to improve functionalities, and creating prototypes or proofs of concept for optimization-based or simulation-based systems. The candidate will research network and business models while performing quantitative analysis to build scenarios that improve profitability and market share. Key technical skills include deterministic optimization methodology, including mixed integer programming, network flows, dynamic programming, and approximation heuristics. Required tools and technologies include Matlab, CPLEX, Gurobi, ExpressMP, SAS (OptModel), Excel, VBA, and SQL. The role focuses on solving supply chain problems through statistical analysis, machine learning, and data-modeling in a database environment to support complex business operations.

Skills

Mixed Integer Programming CPLEX Gurobi Matlab SQL VBA Excel Optimization Simulation Machine Learning Statistical Analysis data-modeling Network Flows Dynamic Programming Supply Chain Planning

What you'll do

Develop advanced analytics and optimization models for strategic and tactical supply-chain planning decisions.
Design and deliver robust, implementable solutions for complex supply chain requirements using modeling approaches.
Lead small projects to define requirements and translate them into effective technical solutions.
Create prototypes and proofs of concept for optimization-based or simulation-based systems.
Apply optimization, simulation, statistical, and data analytic techniques to develop decision management tools.
Research and craft network and business models to support organizational goals.
Perform quantitative analysis to build scenarios that improve profitability and market share.

What we're looking for

Master's or PhD in Operations Research, Industrial Engineering, or related disciplines or equivalent experience.
12+ years of professional working experience.
Experience with deterministic optimization methodology, including mixed integer programming, network flows, dynamic programming, and approximation heuristics.
Strong hands-on experience with optimization solvers like Matlab, CPLEX, Gurobi, ExpressMP, or SAS (OptModel) for solving supply chain problems.
Advanced Excel skills and knowledge of VBA and SQL.
Proven track record of using analysis to deliver business results.
Statistical analysis, machine learning, and data-modeling in a database environment (preferred).

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