Senior Data Scientist Vehicle Ordering Process (intelligent Built to Match) (d/m/f/x)

Das ist der Job

Tasks Tomorrow's mobility is no coincidence, but is based on data-driven decisions.

Darum lohnt es sich

As a Data Scientist you will develop data-based products and processes in our data (product) teams, supporting the development of a data-driven organization and contributing to digital transformation.

As a Data Scientist you will drive the value maximization of a data product along the entire product lifecycle with a motivated and agile team of Data Engineers, Data Analysts and Data Product Owners.

You will be responsible for: Manipulating and analyzing complex, high-volume and high-dimensional data to gain insights by using appropriate data analysis techniques, algorithms and programming languages in close collaboration with subject matter experts Applying statistical methods (especially Machine Learning) to data to identify complex patterns in data and derive predictions Creating machine learning models and applying appropriate metrics to measure and monitor the models Formulating requirements for a necessary database to contribute to the operationalization of Machine Learning services and systems Enabling more efficient or effective (business) decisions based on predictions through (partially) automated processes or qualitative optimization We are striving to build a team of a diverse skill set.

The most important thing is that you are a team player, passionate about Data Science and want to join us in our mission to make Mercedes-Benz a data-driven company.

If you enjoy creating value for the company as part of a team and want to bring in your analytical, problem-solving and data skills to transform Mercedes-Benz, then we look forward to receiving your application and having you on board with the team soon. Do you want to shape the change with us?

Areas of responsibility include applying statistical and machine learning methods to discover hidden patterns and information that can be used to grow the business and support data-driven business decisions.

Qualifications A bachelor's or master's degree in statistics, mathematics, (business) computer science or a related field of study, or a comparable qualification (e.g., training in computer science) Very good knowledge in the selection, application and optimization of machine learning methods for generating data-based predictions and decisions Experience in using one or more machine and deep learning frameworks, e.g., scikit-learn, xgboost, Keras, and tensorflow Very good knowledge of using appropriate metrics to measure and monitor the quality and performance of trained machine learning models, and confident in using machine learning lifecycle management tools e.g.

MLflow, Azure Machine Learning or Amazon SageMaker Strong knowledge of one or more Data Science-related programming languages (e.g., Python, R, C++, SQL) Experience using source code management tools such as Github Actions, Jenkins, or Azure DevOps is a plus Experience with cloud computing platforms such as Azure, AWS, or GCP is a plus Additional Information This is a permanent/temporary position.

Severely disabled applicants and applicants with equivalent status are welcome! The representation for severely disabled employees (sbv-zentrale@mercedes-benz.com) will gladly support you in the application process. #J-18808-Ljbffr