Full-Time Senior Data Scientist Fleet Optimization
SIXT is hiring a remote Full-Time Senior Data Scientist Fleet Optimization. The career level for this job opening is Senior Manager and is accepting Lisbon, Portugal based applicants remotely. Read complete job description before applying.
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Join our Data Science team and help shape the future of mobility! We leverage data to optimize core business processes, from revenue management to strategic fleet steering.
Our team designs, develops, and maintains cutting-edge machine learning models, optimization solvers, and simulation tools, directly influencing critical business decisions. Our work enhances automation and decision-making, improving the experience of millions of customers worldwide.
In this role, you will play a key part in understanding customer behavior and fleet optimization, supporting strategic fleet steering and purchasing decisions. If you're excited about applying data science to solve real-world challenges, we’d love to hear from you!
Your Role at SIXT:
- Lead the data science efforts behind planning and optimizing SIXT's rental car fleet.
- Guide and mentor a team of 2-3 data scientists to deliver high-impact solutions.
- Act as a trusted advisor to stakeholders, helping them leverage data for strategic decision-making.
- Develop explainable long-term demand forecasts that drive fleet planning and investment strategies.
- Build optimization and simulation models to enable data-driven fleet steering decisions.
- Collaborate with cross-functional teams—including business, engineering, and product—to bring your solutions to production.
- Effectively communicate your insights to both technical and business stakeholders.
Your Skills Matter:
- Strong background in Data Science, Machine Learning, and/or Optimization.
- Proficiency in Python and cloud platforms (ideally AWS).
- Experience in with machine learning models in production.
- Passion for learning, decision intelligence, and solving complex business problems.
- Excellent stakeholder management and data science evangelism skills.
- Fluent in English, comfortable working in a multinational environment.
Big Plus: Proven experience in Revenue Management and/or Operations Research.