onsite
Senior Data Scientist - Operations Research Revenue Management & Price Optimization - SIXT
Data Scientist
Lead advanced analytics for revenue and pricing, building predictive models and optimization frameworks to maximize profitability across a global fleet using Python, ML, and operations research techniques.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models to forecast demand, pricing elasticity, and revenue impact across multiple markets.
- Implement advanced optimization algorithms (e.g., linear programming, stochastic optimization) to generate dynamic pricing strategies and inventory allocation plans.
- Collaborate with cross‑functional teams (product, engineering, finance) to translate business objectives into analytical solutions.
- Analyze large datasets using SQL and Python, ensuring data quality, feature engineering, and model validation.
- Present insights and recommendations to senior stakeholders, translating complex models into actionable business decisions.
Requirements
- Master’s or Ph.D. in Data Science, Operations Research, Statistics, or related field.
- 5+ years of experience in revenue management, price optimization, or a similar analytical role.
- Proficiency in Python, SQL, and optimization libraries (e.g., PuLP, Gurobi, CPLEX).
- Strong knowledge of machine learning techniques and model deployment best practices.
- Excellent communication skills and ability to influence decision makers.
Skills
pythonmachine learningsql