Tätigkeitsbereich: Produktion
Fachabteilung: Digitalization MO/C
Gesellschaft: Mercedes-Benz AG
Standort: Sindelfingen
Startdatum: 01.03.2026
Veröffentlichungsdatum: 01.03.2026
Stellennummer: MER0003VK0
Arbeitszeit: full time


Aufgaben

As a Data Scientist Intern at Mercedes-Benz Operations, within the Production System and Network Management department, you will play a key role in shaping the future of our global production network and the MO360 ecosystem.

By applying your software development skills, analytical mindset, and a keen interest in operational processes, you will contribute to building and implementing data-driven solutions and digital routines that optimize production, enhance efficiency, and support strategic decisions across our worldwide production sites.

Responsibilities:

- Develop and implement advanced data analytics and data science techniques to address operational challenges and create data solutions for our global production network.
- Drive the successful scaling of digital solutions by overseeing project management support, promoting standardization, and harmonizing the cross-site design and implementation of digital routines across our production sites
- Foster collaboration with global teams to enhance transparency and knowledge regarding the production digital portfolio
- Effectively communicate complex data-driven insights and project updates through engaging presentations in German and English


The activity can begin from March 2026.


Qualifikationen

- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or Engineering with an equivalent practical experience
- Experience with data querying languages and scripting languages (e.g., SQL, Python, C, C++)
- Foundational understanding of data science methodologies, including data preparation, exploratory data analysis, model building, and visualization
- Fluent English and Intermediate German skills
- Familiarity with Databricks, Github and Azure Infrastructure
- Expertise in DevOps, DataOps and/or MLOps
- Experience in collaboration with cross functional teams
- Familiarity with manufacturing processes, supply chain concepts, or industrial engineering


Additional Information:

- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment


We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, proof of mandatory internship if applicable, and proof of the standard period of study. Please remember to mark your documents as "relevant for this application" in the online form and observe the maximum file size of 5 MB.

You can find further information on the hiring criteriahere .

Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process.

HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email atmyhrservice@mercedes-benz.comor by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm).


Benefits


- Barriere­frei­heit
- Kantine, Café
- Kinder­betreuung
- Coaching
- Betriebs­arzt
- Mobilitäts­angebote
- Mit­arbeiter Events
- Mit­arbeiter­rabatte möglich
- Mit­arbeiter­beteili­gung möglich
- Mit­arbeiter­handy möglich
- Essens­zulagen
- Gesund­heits­maß­nahmen
- Hybrides Arbeiten möglich
- Betrieb­liche Alters­ver­sorgung
- Park­platz
- Gute An­bindung
- Flexible Arbeits­zeit möglich


Kontakt

Laiza Milena Scheid Parizotto
Email: laiza_milena.scheid_parizotto@mercedes-benz.com
Bela-Barenyi-Str. 1 Tor 3
71063 Sindelfingen