Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop data-driven models and algorithms to analyze complex data, enabling informed decisions in the sales process and integrating AI-driven solutions.
Job Technologies
Your role in the team
- We bring Mercedes-Benz Cars to the road - with enthusiasm and passion! Mercedes-Benz Sales & Customer (SC) includes the functions of Sales, After-Sales, Marketing, and Product Management of Mercedes-Benz Cars and is responsible for the development of the global sales organization.
- The mobility of tomorrow is no coincidence but is based on data-driven decisions. Are you eager to shape the change with us right now? As a Data Scientist with us, you have the opportunity to develop data-based products and processes within our data (product) teams. This way, you support the development of a data-driven organization and make an important contribution to digital transformation.
- The scope of responsibilities includes, among other things, the application of methods from statistics and machine learning to discover hidden patterns and information that can be leveraged for the company's growth and to support data-driven business decisions.
- Furthermore, the topic of artificial intelligence, for example in the form of Agentic AI, is increasingly coming into focus. Shape forward-looking processes and systems that incorporate AI solutions with real customer benefits.
- With our projects, we primarily focus on the customer order process, from planning the vehicle volume to the ordering of vehicles by customers.
- Become part of 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 are responsible for:
- The manipulation and analysis of complex, high-volume, and high-dimensional data to derive insights from large datasets in close collaboration with domain experts and using appropriate data analysis techniques, algorithms, and programming languages.
- The application of statistical methods (especially Machine Learning) to data to identify complex patterns and derive predictions.
- The development of machine learning models and the application of appropriate metrics to measure and monitor the models.
- The formulation of requirements for a necessary data basis to contribute to the operationalization of machine learning services and systems.
- Enabling efficient or effective (business) decisions based on predictions through (semi-)automated processes or qualitative optimizations.
- The integration of artificial intelligence, e.g., Agentic AI, into our processes and systems.
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Our expectations of you
Education
- Bachelor's or Master's degree in Statistics, Mathematics, (Business) Informatics, or a related field of study, or a comparable qualification (e.g., training in the field of Computer Science).
Qualifications
- Ideally, you bring the following:
- Excellent knowledge in selecting, applying, and optimizing machine learning methods for generating data-driven predictions and decisions.
- Knowledge in the application and implementation of AI tools and methods, e.g., Agentic AI.
- Excellent knowledge in applying appropriate metrics to measure and monitor the quality and performance of trained Machine Learning models, as well as proficient use of Machine Learning Lifecycle Management tools.
- Good knowledge of one or more Data Science-related programming languages (e.g., Python, R, C++, SQL).
- Strong communication skills and ability to work in a team.
Experience
- Ideally, experience in the automotive sector / sales processes.
- Experience in using one or more Machine Learning and Deep Learning frameworks.
- Experience in using source code management tools such as Github Actions, Jenkins, or Azure DevOps is advantageous.
- Experience with cloud computing platforms such as Azure, AWS, or GCP is advantageous.
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What we offer
- We offer you more than just employment. Additionally, you can expect from us:
- Above-tariff remuneration.
- Company pension scheme.
- Vacation and Christmas bonuses.
- Annual profit sharing depending on business success.
- Bonuses for exceptional individual performance.
- Canteen on-site.
- Attractive annual cars available for purchase and leasing.
- Employer subsidy for asset-building benefits.
- Bonuses for service anniversaries as well as jubilar holidays.
- Flexible working hours with flextime and the possibility of remote work.
- Regular health days with health checks as well as free vaccinations.
- In-house company health insurance fund with attractive health promotion.
- Paid leave for important family events (e.g., wedding).
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Benefits
More net
- 🏝️Summer and Christmas Bonus
- 🍰Employee Stock Option
- 💻Company Notebook for Private Use
- 🚙Company Car
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 👴🏻Company Retirement Provision
- 👷♂️Additional Insurance
Health, Fitness & Fun
Work-Life-Integration
- 🐕Animals Welcome
- 🏠Home Office
- 🍼Day Care for Kids
- 🅿️Employee Parking Space
- 🚌Excellent Traffic Connections
- ⏰Flexible Working Hours
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
Mercedes - Benz AG
The Mercedes-Benz brand of automobiles is a registered trademark of Daimler AG. In 2016, sales of new vehicles reached 2.08 million. With business units including Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans, Daimler Buses and Daimler Mobility, the company ranks among the leading providers of premium cars and is the world's largest commercial vehicle manufacturer.
Description
- Founding year
- 1926
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Dev Reviews
by devworkplaces.com
Total
(1 Review)4.4
Workingconditions
4.8Engineering
4.0Career Growth
4.8Culture
4.2
Senior Data Scientist
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
