Hybrid Operations Research Scientist: AI-Driven Optimization

GreyOrange; Redwood City (CA); Hybrid; USD 200,000 - 220,000; Full time

Job summary

A leading AI-driven robotics company is seeking an Operations Research Scientist in Redwood City, CA. You will design and implement advanced models and algorithms, collaborate with teams to optimize processes, and tackle complex challenges using mathematical methods. This role requires a Master's or Ph.D. in a related field and proficiency in programming and optimization tools. Join us in enhancing our decision-making capabilities in a dynamic environment.

Qualifications

• Master’s or Ph.D. in a relevant field is required.
• Deep understanding of optimization and statistical modeling is essential.
• Experience with programming and optimization tools is needed.

Responsibilities

• Develop advanced operations research models to solve business challenges.
• Collaborate with teams to integrate OR models into SaaS platforms.
• Analyze datasets to develop predictive models for decision-making.

Skills

Mathematical modeling

Optimization techniques

Statistical analysis

Programming in Python

Machine learning techniques

Problem-solving skills

Collaboration and communication

Education

Master’s or Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, or related field

Tools

Gurobi

CPLEX

MATLAB

R

C++

Job description

A leading AI-driven robotics company is seeking an Operations Research Scientist in Redwood City, CA. You will design and implement advanced models and algorithms, collaborate with teams to optimize processes, and tackle complex challenges using mathematical methods. This role requires a Master's or Ph.D. in a related field and proficiency in programming and optimization tools. Join us in enhancing our decision-making capabilities in a dynamic environment.