Tätigkeitsbereich:ProduktionFachabteilung:Digitalization MO/CGesellschaft:Mercedes-Benz AGStandort:Mercedes-Benz Werk Sindelfingen, SindelfingenStartdatum:..6Veröffentlichungsdatum:..5Stellennummer:MER3VK0Arbeitszeit:Vollzeit BewerbenAufgaben
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 MO 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:
1. Develop and implement advanced data analytics and data science techniques to address operational challenges and create data solutions for our global production network.
2. 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
3. Foster collaboration with global teams to enhance transparency and knowledge regarding the production digital portfolio
4. Effectively communicate complex data-driven insights and project updates through engaging presentations in German and English
The activity can begin from March 6.
Qualifikationen
5. Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or Engineering with an equivalent practical experience
6. Experience with data querying languages and scripting languages (e.g., SQL, Python, C, C++)
7. Foundational understanding of data science methodologies, including data preparation, exploratory data analysis, model building, and visualization
8. Fluent English and Intermediate German skills
9. Familiarity with Databricks, Github and Azure Infrastructure
10. Expertise in DevOps, DataOps and/or MLOps
11. Experience in collaboration with cross functional teams
12. Familiarity with manufacturing processes, supply chain concepts, or industrial engineering
Additional Information:
13. 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 criteria .
Benefits Essenszulagen Mitarbeiterhandy möglich Mitarbeiterrabatte möglich Mitarbeiterbeteiligung möglich Mitarbeiter Events Coaching Flexible Arbeitszeit möglich Hybrides Arbeiten möglich Gesundheitsmaßnahmen Betriebliche Altersversorgung Mobilitätsangebote Kinderbetreuung Parkplatz Kantine, Café Gute Anbindung Barrierefreiheit Betriebsarzt
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