Senior Data Scientist Vehicle Ordering Process (intelligent Built to Match) (d/m/f/x)
The Mercedes-Benz Group AG is one of the most successful automotive companies in the world. Together with Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans.
Becoming part of Mercedes-Benz means finding your individual role and workspace to unleash your talents to the fullest. It means becoming your best self in a global automotive company that has the goal to build the most desirable cars in the world. Empowered by visionary colleagues who share the same pioneering spirit. Together for excellence.
Tomorrow's mobility is no coincidence, but is based on data-driven decisions. Do you want to shape the change with us? As a Data Scientist you will have the opportunity to develop data-based products and processes in our data (product) teams. Thus, you will support the development of a data-driven organization and make an important contribution to the digital transformation. 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.
Join our team of innovation drivers and data enthusiasts and help us shape the mobility of the future!
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 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.
Ideally, you bring the following skills and experience:
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.
We look forward to receiving your online application with a resume, cover letter, and certificates. Please do not forget to mark your documents as "relevant for this application" in the online form and note the maximum file size of 5 MB.
Severely disabled applicants and applicants with equivalent status are welcome! The representation for severely disabled employees ([email protected]) will gladly support you in the application process.
For questions about the application process, HR Services will be happy to assist you via email at [email protected] or by phone: 0711/17-99000 (Monday to Friday between 10am-12pm and 1pm-3pm).
