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

Mercedes-Benz AG

Stuttgart (Hybrid)

Job Type Full-time

Experience Senior

Posted 3 weeks 6 days ago

Hybrid Senior Level

Mercedes-Benz Sales & Customer Experience covers Sales, After-Sales, Marketing, and Product Management for Mercedes-Benz Cars and is responsible for developing the global sales organization.

The Planning, Allocation and Capacity Management team is responsible for central sales and production planning applications and is shaping the transformation toward integrated, data-driven corporate management. Working in cross-functional, agile product teams with business, IT, and international partners, the team is developing an integrated optimization model connecting sales and production planning.

As a Senior Data Scientist, you will translate complex business requirements, particularly from Sales, into analytical and optimization models and help shape agent-based planning workflows, including governance and context management.

Responsibilities

Analyze and structure complex requirements from Sales and Planning.
Translate business requirements into scalable analytical models and optimization approaches.
Develop and enhance optimization models for integrated planning processes.
Apply machine learning, forecasting, and operations research to improve decision quality and efficiency.
Validate and continuously improve model performance.
Design and implement agent-based planning and decision-making workflows.
Establish structures for context management and governance.
Integrate models into productive, scalable data products.
Ensure data availability and quality in collaboration with Data Engineering.
Integrate heterogeneous data sources across the end-to-end planning chain.
Support the development of robust data and model architectures.
Derive recommendations with clear business impact and support analytical aspects of rollouts and transformations.
Communicate results and decision logic effectively to management.

Qualifications

Completed degree in Data Science, Mathematics, Computer Science, Statistics, Industrial Engineering, or a comparable field.
Several years of experience as a Data Scientist, ideally in complex business or planning processes.
Strong experience in machine learning, predictive analytics, optimization methods such as operations research, and data modeling and preparation.
Proficiency with tools such as Python, SQL, and relevant machine-learning or operations-research libraries.
Experience with production-oriented, scalable analytics solutions.
Ability to understand complex business problems and translate them into analytical solutions.
Experience in Sales, Supply Chain, or Planning is advantageous.
Experience in agile product teams, such as SAFe or Scrum.
Strong communication and stakeholder-management skills.
Fluent German and English.