Data Scientist (m/f/d)

WHAT YOU WILL DO

• In this role you will work in a team of data scientists and data engineers on Advanced Analytics of customer data to drive our corporate’s vision of “Taking care of a better climate”
• You will support the development of algorithms to gain insights on our customer’s demands and preferences in order to further improve customer experience and loyalty
• Thanks to your expertise, you will apply machine learning techniques to make our products, services and internal processes smarter and ensure the reliability of your predictive models
• Furthermore, you will visualize insights in a comprehensible way and present results to stakeholders concisely and clearly
• You will provide advice to and share your knowledge regarding advanced analytics with data analysts in different business units and in our community of data enthusiasts
• You will use state-of-the-art cloud technology and continuously extend your knowledge and skills

WHAT YOU BRING ALONG

• You have a Master`s degree or a PhD in computer science, natural sciences, econometrics, or other quantitative fields and have at least 3 years practical experience in Data Science/Data Analytics preferably around customer insights
• Experience in the development and evaluation of statistical models and a habit of continuously challenging your results and their statistical validity is a must
• You have expertise in at least one relevant programming language (Python, Java, Scala, SQL, etc.) and can visualize data, e.g. in tools like Tableau
• Ideally you are familiar with cloud services and Data Science related components, preferably in MS Azure
• Ability to work in a team, combined with a high degree of curiosity, initiative and the motivation to work in an agile and interdisciplinary environment 
• You are fluent in English and are willing to improve your German  

WHAT WE OFFER

• We are part of the solution. Our highly efficient, environmentally friendly technologies conserve resources and reduce CO2 emissions in the long term.
• Each employee organizes his hours individually in coordination with his colleagues. This allows family and career to be flexibly coordinated.
• Our professionals are trained in soft and social skills and in this way prepared for the next career level.
• We value teamwork and a good togetherness