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Mercedes-Benz AG | Germany | 70xxx Stuttgart | Permanent position | Part time - flexible / Full time / Home office | Published since: 19.08.2026 on stepstone.de ♿️

Branch: Automotive, aeronautic, aer... Branch: Automotive, aeronautic, aerospace and ship building


Your tasks • Your profile • What we offer

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER00043GT We bring Mercedes-Benz Cars to the street - with enthusiasm and heart blood! Mercedes-Benz Sales & Customer Experience (SC) features sales, after-sales, marketing and product management of Mercedes-Benz Cars and takes care of the development of the global sales organization. Our goal is the successful and future-oriented design of the global sales of Mercedes-Benz Cars, the highest customer satisfaction and the continuous expansion of the success of our brands. The enthusiasm of our customers is a comprehensive, lifelong task to deliver the best or nothing. If you are motivated to participate in these exciting and diverse topics, if you value a collegial and teamwork environment, and it is fun to actively shape challenges - then we look forward to your application! Our team “Planting, Allocation and Capacity Management” is responsible for central sales and production planning applications at Mercedes-Benz and actively shapes the transformation towards integrated, data-driven corporate control. We work closely in cross-functional, agile product teams with business, IT and international partners. Our goal: the development of an integrated optimization model that intelligently connects sales and production planning and enables end-to-end decisions. As a senior data scientist, you are a central enabler for this vision. You translate complex business requirements – especially from sales – into powerful analytical and optimization models and actively shape new, agent-based planning workflows including governance and context management. You are part of a product team that develops and scales the next generation of data-driven planning solutions. Your task in detail: 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, 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 Conception and implementation of agent-based planning and decision 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 cooperation 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 and rollout Derivation of action recommendations with clear business impact

Accompanying rollouts and transformations from an analytical perspective

Management-oriented communication of results and decision logics

What you expect: Key role in the development of a company-wide optimization model

High design space in a strategically relevant environment

Work on innovative topics such as agent-based planning and end-to-end optimization

Close cooperation with business, IT and international teams

Modern tech environment and real scaling of Data Science in operational use

Ideally, you will bring: Completed studies in data science, mathematics, computer science, statistics, economic engineering or comparable

Multiannual experience as a data scientist, ideally in the context of complex business or planning processes

Analytical & technical expertise: Found experience in: Machine Learning & Predictive Analytics

Optimization method (e.g. Operations Research)

Data modelling and preparation

Safe handling of common tools (e.g. Python, SQL, relevant ML/OR libraries)

Experience with production-related, scalable analytics solutions

Business Understanding: Ability to quickly capture complex business problems and translate them into analytical solutions

Ideal experience in Sales, Supply Chain or Planning

Operation & Mindset: Structured, solution-oriented operation with high conversion strength

Experience in agile product teams (e.g. SAFe, Scrum)

Embossed communication skills and stakeholder management at different levels

Languages: German and English skills

Additional information: It is an indefinite body. We look forward to your online application with CV, Letters 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. Disabled and equalized applicants are welcome! The severely disabled representative (sbv-zentrale@mercedes-benz.com) is happy to support you in the application process. EXTERN: People Solutions will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

Food supplements Employee handy possible Employee discounts possible Employee participation possible Staff Events Coaching Flexible working time possible Hybrid work possible Health measures Employment Mobility offers Parking space Business doctor Good connection Accessibility Child care Kantine, Café

Location

ava Mercedes-Benz AG
70565  Stuttgart
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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