Job Responsibilities
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Develop, build, and maintain production-grade statistical and AI solutions to predict residual values for our fleet
Employ methods in the fields of machine learning, optimization and statistical modelling with a strong focus on applicability, scalability and performance
Curate rich datasets and prepare data for predictive and prescriptive modeling
Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows
Ensure code and datasets are thoroughly tested before their release to production environments
Qualifications
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Degree in Computer Science, Data Science, Math, Statistics or other quantitative field with strong programming focus
Strong analytical, problem-solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions
Experience in analyzing structured data using statistical programming (machine learning, econometrics, statistics, and/or optimization)
Strong capabilities in Python and SQL
Experience writing clean, efficient Python code involving model development and deployment using state-of-the-art tools and libraries (e.g. scikit-learn, pandas, etc.)
Additional Information
About us:
We are a leading global mobility service provider with sales of €3.07 billion and around 7,500 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (cab, driver, and chauffeur services), SIXT+ (car subscription) and gives our customers access to our fleet of 270,894 vehicles, the services of 1,500 cooperation partners and around 1.5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,098 rental stations. At SIXT, a first-class customer experience and outstanding customer service are our top priorities. We focus on true entrepreneurship and long-term stability and align our corporate strategy with foresight. Want to take off with us and revolutionize the world of mobility? Apply now!