Join our team of machine learning experts at SIXT to develop and implement cutting-edge models specifically tailored for price optimization! You will work closely with data scientists to deploy low latency services in production with the objective to infer customer willingness to pay and optimize bid pricing, leveraging theories of opportunity cost. Your work will directly influence pricing strategies for millions of customers.
YOUR ROLE AT SIXT
YOUR SKILLS MATTER
WHAT WE OFFER
About the department:
Engineers take note: cutting edge technology is waiting for you! We don't buy, we primarily do it all ourselves: all core systems, whether in the area of car sharing, car rental, ride hailing and much more, are developed and operated by SIXT itself. Our technical scope ranges from cloud and on-site operations through agile software development. We rely on state-of-the-art frameworks and architectures and strive for a long-term technical approach. Exciting? Then apply now!
About us:
We are a leading global mobility service provider with sales of €3.07 billion and around 9,000 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 222,000 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!
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Sixt rent a car was founded in 1912 making it the first rent a car in Europe and is the Oldest car rental company today. Sixt rent a car has thousands of rental car locations worldwide making it also one of the biggest car rental companies today. ...
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