Senior Data Scientist “Integrated Volume Simulation & Agentic Planning Workflows” (d/m/w/x)

Full job description

Area of ​​activity: Marketing / Sales / CommunicationDepartment: Planning, Allocation & Capacity ManagementCompany: Mercedes-Benz AGLocation: Mercedes-Benz AG, StuttgartStart date: immediatelyPublication date: August 19, 2026Job ID: MER00043GTWorking hours: Full-time (part-time suitable)Tasks

We put Mercedes-Benz Cars on the road – with enthusiasm and passion!

Mercedes-Benz Sales & Customer Experience (SC) encompasses the Sales, After-Sales, Marketing and Product Management functions of Mercedes-Benz Cars and is responsible for the development of the global sales organization.

Our goal is the successful and future-proof development of global sales for Mercedes-Benz Cars, maximum customer satisfaction, and the continuous expansion of our brands’ success. Our customers’ enthusiasm is a comprehensive, lifelong commitment, driven by the desire to deliver the best or nothing at all.

If you are motivated to contribute to these exciting and diverse topics, if you value a collegial and team-oriented environment, and if you enjoy actively shaping challenges – then we look forward to receiving your application!

Our “Planning, Allocation and Capacity Management” team is responsible for central sales and production planning applications at Mercedes-Benz and actively shapes the transformation towards integrated, data-driven corporate management.

We work in cross-functional, agile product teams, closely integrated with business, IT, and international partners. Our goal: to develop an integrated optimization model that intelligently combines sales and production planning and enables end-to-end decisions.

As a Senior Data Scientist, you are a key enabler of this vision. You translate complex business requirements – especially from sales – into powerful analytical and optimization models and actively design new, agent-based planning workflows, including governance and context management.

They are part of a product team that is developing and scaling the next generation of data-driven planning solutions.

Your specific tasks:

Translation Business Analytics

• Analysis and structuring of complex technical requirements from sales and planning
• Translation into scalable analytical models and optimization approaches
• Close coordination with product management, specialist departments and IT

Advanced Analytics & Optimization

• Development and further development of optimization models for integrated planning processes
• Use of machine learning, forecasting and operations research to improve decision quality and efficiency
• Validation and continuous improvement of model performance

Agentic Planning & Data Products

• Design and implementation of agent-based planning and decision-making workflows
• Building structures for context management and governance
• Integration of models into productive, scalable data products

Data & System Integration

• Ensuring data availability and quality in close collaboration with Data Engineering
• Integration of heterogeneous data sources along the end-to-end planning chain
• Support in building a robust data and model architecture

Impact & Rollout

• Derivation of actionable recommendations with clear business impact
• Support for rollouts and transformations from an analytical perspective
• Management-oriented communication of results and decision logics

What you can expect:

• Key role in the development of a company-wide optimization model
• High degree of creative freedom in a strategically relevant environment
• Working on innovative topics such as agent-based planning and end-to-end optimization
• Close collaboration with business, IT and international teams
• Modern tech environment and true scaling of data science into operational use

Qualifications

Ideally, you should bring the following:

• Completed studies in Data Science, Mathematics, Computer Science, Statistics, Industrial Engineering or comparable field
• Several years of experience as a data scientist, ideally in the context of complex business or planning processes

Analytical & Technical Expertise:

• Solid experience in:
  • Machine Learning & Predictive Analytics
  • Optimization methods (e.g., Operations Research)
  • Data modeling and preparation
• Confident handling of common tools (e.g. Python, SQL, relevant ML/OR libraries)
• Experience with production-oriented, scalable analytics solutions

Business Understanding:

• Ability to quickly grasp complex business problems and translate them into analytical solutions.
• Ideally, experience in sales, supply chain, or planning.

Working style & mindset:

• Structured, solution-oriented approach with strong implementation skills
• Experience in agile product teams (e.g., SAFe, Scrum)
• Strong communication skills and stakeholder management at various levels

Languages:

• Fluent German and English skills