Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Data Analysis
Data Modeling @ 1
Machine Learning @ 1
Matlab @ 7
SQL @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking an Operations Research Scientist to join its information technology operations planning team. The role focuses on developing advanced analytics and optimization models for strategic and tactical supply-chain planning decisions, along with data analysis support.
Responsibilities
- Design and deliver robust, implementable solutions for complex supply-chain planning requirements using modeling approaches.
- Lead small projects to implement new functionality and improve existing functionality, including articulating requirements and translating them into effective solutions.
- Develop prototypes and proofs of concept for optimization-based or simulation-based systems.
- Apply optimization, simulation, statistical, and data analytics techniques to develop strategic decision-management tools.
- Research and develop network and business models.
- Perform quantitative analysis and build business and product scenarios to help improve profitability and market share.
Requirements
- Master's or PhD in Operations Research, Industrial Engineering, or a related discipline, or equivalent experience.
- More than 12 years of professional experience, including more than 3 years of experience with deterministic optimization methodologies such as mixed-integer programming, network flows, dynamic programming, and approximation heuristics.
- Strong hands-on experience with optimization solvers and tools such as MATLAB, CPLEX, Gurobi, ExpressMP, or SAS OptModel for solving supply-chain problems.
- Advanced Excel skills and knowledge of VBA and SQL.
- Consistent track record of using analysis to deliver business results.
- Ability to take charge of complex tasks with minimal direction.
- Ability to work independently and cross-functionally with other staff members.
- Experience with statistical analysis, machine learning, and data modeling in a database environment is a plus.
Benefits
The role offers competitive salaries, equity, and a generous benefits package. The base salary range is USD 200,000–322,000. Applications will be accepted at least until September 12, 2026.
NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment. NVIDIA also uses AI tools in its recruiting processes.
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