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Mercedes-Benz AG | Germany | Stuttgart | Permanent position | Part time - flexible / Full time / Home office | Published since: 08.04.2025 on stepstone.de

Full-Stack Data Analytics/Data Science Expert in the Competence Center Digital Accelerator (d/m/f/x)

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


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: MER0003LSR JOBV1_EN

* After clicking the 'Read more' button, the original advert will open on our partner's website, where you can see the details of this vacancy and contact information. If you need a translation of this text, after returning to our website it will be prepared and you can read it by clicking the 'Translation' button.

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: MER0003LSR Mercedes-Benz Group AG is one of the most successful automotive companies in the world. With Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans. Being part of Mercedes-Benz means finding the area where you can develop your talents individually. It means in a global car company that has the goal of building the most desirable cars in the world to give its best. You will be supported by visionary colleagues who share their pioneering spirit. Together for excellence. Imagine you are at the forefront of shaping the future, and pave the way for an iconic brand like Mercedes-Benz with your vision and strategy. We are Mercedes-Benz Management Consulting. As an internal consultation, we work hand in hand with the top management to develop transformative strategies and accelerate the digital growth of Mercedes-Benz. Are you someone who burns to challenge a real difference and the status quo? Together we secure the company's sustainable competitiveness, we develop business transformation strategies, enable the automation of the core business and develop innovative digital business models. What we offer you... As a full-stack data analytics/data science expert (d/m/w/x), you develop data-centered solutions and, together with your project team, allow digital decision support for our top management to actively shape the future of one of the most successful mobility companies in the world. With your project team, you are responsible for the development and deployment of an end-to-end solution from data engineering to data analytics to user-friendly customer frontends and thus provide an important component for the offer portfolio and the solution development competence of MBMC. As part of an interdisciplinary team with highly motivated colleagues, you work together with other data experts and consultants to understand and implement the requirements of our clients. Throughout all departments, you can support data and technology-based solutions to respond to the strategic challenges of Mercedes-Benz. With several years of professional experience, you join us as a full-stack Data Analytics/ Data Science Expert (d/m/w/x) and take responsibility for extensive subprojects at top management levels. In addition, you’ll run the training and coaching program to expand your soft skills and prepare you for later challenges. You also have the possibility to use between three and five training days a year to further train yourself. In addition, the variety of projects offers you the opportunity to build a broad knowledge of Mercedes-Benz Group AG and its working methods, in order to establish and expand contacts in the Group from the outset. In addition, you can also engage in many different internal topics (Women@MBMC, Diversity@MBMC, Participation in Recruiting events, Participation in the training portfolio, and much more). These challenges come to you: Advice on strategic and operational issues related to digitalization and data-driven optimization - Participation in the identification and evaluation of applications of data-based decision support (partial) responsibility for the successful development and implementation of innovative analytics and business intelligence solutions for cross-disciplinary, comprehensive business processes with a variety of interfaces and stakeholders Participation in data analysis from conception to modeling, from data engineering to visualization (partial)responsibility for the identification and definition of data sources as well as the design of strategic, cross-functional data models for use in multiple analytics projects and integration into a project-wide data layer Requirements Engineering and (Rapid) Prototyping for Creating BI/Data Analytics Tools (Power BI/Python Stack in Azure Environment) Participation in the development of individual (partial) projects for the on-time, on-budget and on-quality delivery of project results as well as the tracking and tax of the respective project risks Ensure internal knowledge transfer between projects and stakeholders Participation in deriving new conceptual approaches and methods for future projects Cooperation in interdisciplinary teams

Ideally, you bring the following: Successfully completed studies of economics, computer science, technology, natural sciences or comparable disciplines with mathematical, statistical or economic components Experience in a dynamic-analytical working environment (e.g. in business consulting, automotive industry, software or start-up industry) Experience in the practical application of Data Engineering incl. Data Evaluation and Analysis - Experience in at least two other relevant topics such as: NLP / GenAI Machine Learning Frontend Development (e.g. Node.js, REACT, Angular) Operations Research Deep Learning Software Engineering Spark

Application of statistics Knowledge of programming in relevant languages (Python, Java, JavaScript) Experience with working on cloud platforms and the working microservices (e.g. Databricks, ADF, etc.) German and English knowledge in word and writing Personal skills... Embossed communication and presentation skills Curiosity, ability and joy to quickly incorporate you into new technologies, methods and solutions - creative problem-solving skills and motivation to move something Embossed team skills and fun in interdisciplinary project work High analytical and conceptual skills High technical and digital understanding You're not sure? We look at each application in detail and check a potential match with other MBMC job profiles upon permission. Still not sure? Our recruiting team is happy to receive your message at careers_managementconsulting@mercedes-benz.com. Additional information: It is an indefinite body. Of course, without formalities, we are not. Therefore, please apply exclusively online and add a CV, letter and certificate to your application (maximum size of the appendix 5 MB) and mark your application documents as ''relevant for this application' in the online form. In particular, we are looking forward to online applications of people with difficulty disabilities and disabled people who are equal to them. If you have any questions, you can also contact sbv-zentrale@mercedes-benz.com to the site's severely disabled representative, who will be happy to support you in the further application process after your application. Please understand that we no longer accept paper applications and there is no claim to return. Questions about the application process will be answered by HR Services by e-mail to myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10-12 am and 13-15 pm).

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 Kantine, Café Good connection Accessibility Parking space Child care Business doctor JOBV1_EN

Company location

Location

ava Mercedes-Benz AG
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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