Senior Data Scientist, Operations Research (Revenue Management & Fleet Optimization) (m/f/d)
Tasks
- Build fleet allocation models
- Build pricing impact models
- Deploy fleet planning systems
- Design fleet planning systems
- Develop fleet planning systems
- Evaluate model performance
- Explain results to stakeholders
- Formulate optimization problems
- Implement machine learning models in production
- Provide mentorship to junior team members
- Solve dynamic optimization problems
- Solve integer programming problems
- Solve linear optimization problems
- Solve nonlinear optimization problems
- Solve stochastic optimization problems
- Stay current with research
Perks/Benefits
- Birthday day off
- Coverflex allowance
- Employee discounts
- Family health coverage
- Flexible working hours
- Hybrid work model
- Meal allowance
- Private health insurance
- Travel service discounts
- Vacation days
- Volunteer day
Skills/Tech-stack
Dynamic Pricing | Dynamic Programming | Integer Programming | Linear Optimization | Linear Programming | Machine Learning | Mathematical Optimization | Model Evaluation | Nonlinear Optimization | Nonlinear Programming | Optimization Algorithms | Planning Optimization | Production Deployment | Python | Revenue Management | Stochastic Programming | Stock Planning | Stock Planning Optimization | Supervised Learning | Unsupervised Learning
Education
Roles
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