
Senior Data Scientist, Fleet Optimization
SIXT
full-time
Posted on:
Location Type: Remote
Location: Portugal
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Job Level
About the role
- 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 support data-driven fleet steering decisions
- Collaborate with cross-functional teams to bring solutions to production
Requirements
- Strong track record in Data Science, Machine Learning, and Advanced Optimization techniques
- Expertise in Revenue Management or Operations Research is a bonus
- Proficient in Python and cloud-based ecosystems, preferably AWS
- Hands-on experience deploying, monitoring, and maintaining machine learning models in real-world environments
- Passion for Decision Intelligence, AI-driven solutions, and solving complex, high-impact business challenges
- Excellent stakeholder engagement and data storytelling skills
- Fluent in English
Benefits
- Enjoy 28 days of vacation, an additional day off for your birthday, and 1 volunteer day per year
- Benefit from a hybrid working model, flexible working hours, and no dress code
- Access discounts on SIXT rent, share, ride, and SIXT+, along with partner discounts
- Participate in training programs, external conferences, and internal dev & tech talks designed for your personal growth and development
- Private health insurance to support your well-being
- Enjoy the Coverflex advantage system to enhance your employee experience
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Data ScienceMachine LearningAdvanced OptimizationRevenue ManagementOperations ResearchPythonDecision IntelligenceAI-driven solutions
Soft skills
team leadershipstakeholder engagementdata storytelling