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Join a forward-thinking company as a Junior Data Scientist, where you'll leverage cutting-edge technology to develop innovative machine learning models. This dynamic role involves addressing challenges like dynamic pricing and personalized recommendations, all while collaborating with an international team. You'll gain hands-on experience with SQL and Python, and work in a supportive environment that values continuous learning and development. With opportunities to work from home, engage in exciting team events, and contribute to impactful projects, this position is perfect for those looking to shape the future of automotive sales through data science.
We are seeking a technically skilled and passionate Junior Data Scientist to join our international and dynamic Data Science department at AUTO1 Group Technology. AUTO1 Group is Europe's leading digital automotive platform. We revolutionize the used car market with our well-known brands Autohero, wirkaufendeinauto.de, and AUTO1.com. Our team is divided accordingly based on the 3 brands, and here at Auto1.com, we focus on sales to professional dealers. We are dedicated to leveraging cutting-edge technology to develop machine learning solutions that optimize our Auto1.com sales and processes.
As a Junior Data Scientist, you will participate in developing innovative machine learning models to address challenges such as dynamic pricing based on market demands on the Auto1.com platform, creating personalized recommendations for dealers, optimizing sales representatives' calling priorities, and forecasting demands to inform purchasing and pricing decisions. You will also be involved in technical implementations such as feature stores to support the entire data science department. We are excited to work with talented contributors. Join us in shaping the future of automotive dealer sales with machine learning solutions!
Marija Dimitrova
At AUTO1 Group, we foster an open culture, believe in direct communication, and value diversity. We welcome every applicant regardless of gender, ethnicity, religion, age, sexual orientation, disability, or any other non-merit factor.