Overview
On Site
Depends on Experience
Full Time
Skills
Operations Research
Applied Mathematics
C++
CPLEX
MATLAB
Machine Learning (ML)
Python
R
Supply Chain Management
Linear Programming
Job Details
Operations Research Scientist with Applied Mathematics & Industrial Engineering Redwood City, CA
Fulltime Position
- Develop and apply advanced operations research models, including optimization, simulation, and stochastic models, to solve complex business challenges.
- Work closely with engineering, data science, and product teams to integrate OR models into SaaS platforms, providing actionable insights to enhance product performance.
- Design and implement optimization algorithms (e.g., linear programming, mixed-integer programming, and nonlinear optimization) to drive business efficiency and effectiveness.
- Analyze large datasets and develop predictive models using statistical and machine learning techniques to improve decision-making processes.
- Develop mathematical models, simulations, or optimization algorithms to represent real-world systems or problems. Use techniques like linear programming, dynamic programming, queuing theory, or game theory to create models.
- Build simulation models to evaluate potential solutions and improve resource allocation, scheduling, and supply chain logistics.
- Collaborate with stakeholders to understand business requirements and translate them into mathematical models and algorithmic solutions.
- Collaborate with cross-functional teams such as engineering, product, and operations to implement solutions. Communicate findings, insights, and recommendations to non-technical stakeholders through reports, presentations, or data visualizations.
- Communicate complex mathematical concepts and results to non-technical stakeholders in a clear and understandable manner.
- Monitor the performance of implemented solutions and refine models over time based on feedback and new data. Stay updated with the latest advancements in operations research, machine learning, and optimization, and apply best practices to develop innovative solutions.
- Document models, algorithms, and analytical processes for future reference and team knowledge sharing. Generate reports that summarize the outcomes of analyses and model performance.
Requirements/Qualifications
- Master s or Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related field.
- Strong expertise in mathematical modeling, optimization techniques (linear programming, dynamic programming), and statistical analysis.
- Proficiency in programming languages such as Python, R, C++, and experience with optimization tools (Gurobi, CPLEX, MATLAB).
- Familiarity with data analysis, machine learning techniques, and simulation.
- Excellent problem-solving skills and the ability to translate complex problems into actionable insights.
- Strong collaboration skills and the ability to communicate complex concepts to non-technical stakeholders.
- Experience managing or contributing to research projects in a fast-paced environment.
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