Senior Data Scientist – Operations Research

Workster; München; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A global leader in mobility solutions is seeking a Senior Data Scientist to join their team in Munich. The role involves designing advanced revenue management systems, optimizing pricing decisions using cutting-edge techniques, and collaborating with cross-functional teams. Candidates should have at least 5 years of experience in data science and operations research, preferably in the travel sector. This position offers 28 days of vacation, a hybrid working model, and additional benefits.

Leistungen

28 days of vacation

Private health insurance

Discounts on SIXT services

Training programs and conferences

Flexible working hours

Qualifikationen

• 5+ years in data science and operations research roles.
• Proven track record in revenue management systems.
• Expertise in mathematical optimization and algorithm design.
• Familiarity with forecasting models using machine learning.

Aufgaben

• Design, develop, and deploy advanced revenue management systems.
• Formulate and solve complex optimization problems.
• Create and refine forecasting models to capture demand.
• Build and maintain robust algorithms for production systems.
• Work closely with cross-functional teams for solution deployment.

Kenntnisse

Data analysis

Machine Learning

Python

Optimization

Demand forecasting

Ausbildung

Master's degree in a related quantitative field

Tools

Git

Jobbeschreibung

Overview

Workster is partnering with a global leader in mobility solutions to find a skilled Senior Data Scientist – Operations Research to join their team. Help shape next-generation pricing strategies by applying cutting-edge techniques like price elasticity modeling, bid price optimization, and advanced machine learning to optimize pricing decisions for millions of customers. Your work will directly drive revenue management processes and enhance the user experience.

Your Role

• Revenue Management & Price Optimization : Design, develop, and deploy advanced revenue management systems focusing on dynamic pricing and bid price optimization strategies.
• Operations Research Modeling : Formulate and solve complex optimization problems (linear, nonlinear, dynamic, stochastic) to maximize revenue and support key decision-making processes.
• Demand Forecasting & Customer Willingness-to-Pay : Create and refine forecasting models using time series and machine learning methods to capture customer demand and willingness-to-pay.
• Algorithm & Tool Development : Build and maintain robust algorithms that integrate seamlessly with production systems, ensuring efficiency and scalability.
• Cross-Functional Collaboration : Work closely with product managers, data engineers, and software developers to deploy end-to-end solutions and continuously improve analytical models.
• Thought Leadership : Stay current on the latest research in revenue management, operations research, and machine learning. Provide mentorship and guidance to junior team members.

Your Qualifications

• Industry Experience : 5+ years in data science and operations research roles, ideally within car rental, airlines, or similar travel / hospitality sectors.
• Revenue Management Expertise : Proven track record of implementing or optimizing revenue management systems and pricing strategies.
• Optimization & Solvers : Strong background in mathematical optimization (linear, nonlinear, integer programming), solvers, and algorithm design (dynamic / stochastic programming).
• Machine Learning & Forecasting : Proficient in demand forecasting, time series modeling, and modern ML techniques (especially regression).
• Programming Skills : Expertise in Python for data analysis, modeling, and production deployment. Familiarity with version control systems (e.g., Git).
• Analytical Mindset : Ability to translate complex business problems into actionable analytical tasks and clearly communicate findings to various audiences.
• Pricing & Bid Price Optimization : Practical experience designing or implementing bid price models in large-scale revenue management systems (preferred).
• Education : Master’s degree (or higher) in Operations Research, Applied Mathematics, Statistics, or a related quantitative field (preferred).

The Offer

• Generous Time Off : Enjoy 28 days of vacation, an additional day off for your birthday, and 1 volunteer day per year.
• Work-Life Balance & Flexibility : Benefit from a hybrid working model, flexible working hours, and no dress code.
• Great Employee Benefits : Access discounts on SIXT rent, share, ride, and SIXT+, along with partner discounts.
• Training & Development : Participate in training programs, external conferences, and internal dev & tech talks for personal growth.
• Health & Well-being : Private health insurance to support your well-being.
• Additional Perks : Enjoy the Coverflex advantage system to enhance your employee experience.