Principal Data Scientist - Optimization
US - California - Thousand Oaks - Field/Remote, United States
R
USD 160K-217K Senior-level Full Time
Tasks
- Build self-service applications
- Deploy optimization models
- Design decision support tools
- Develop optimization models
- Evaluate optimization and AI methods
- Incorporate uncertainty into optimization
- Integrate optimization into business workflows
- Mentor junior team members
- Monitor and explain model decisions
- Own modeling lifecycle
- Validate optimization models
Perks/Benefits
- Career development opportunities
- Flexible work models
- Health and welfare plans
- Hybrid work
- Life and disability insurance
- Remote work
- Retirement and savings plan
- Time off plans
Skills/Tech-stack
Constrained optimization | Decomposition methods | Gurobi | Heuristics | Integer Programming | Linear Programming | Machine Learning | Metaheuristics | Mixed Integer | Mixed-Integer Programming | Nonlinear Optimization | OR-Tools | Pulp | Pyomo | Python | Reinforcement Learning | Robust Optimization | SQL | Scenario Based Optimization | Simulation optimization | Stochastic Optimization
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | High School Diploma | Master of Science | PhD
Regions
Countries
States
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