Intern Data Scientist Mercedes-Benz Operations

Tätigkeitsbereich:ProduktionFachabteilung:Digitalization MO/CGesellschaft:Mercedes-Benz AGStandort:Mercedes-Benz Werk Sindelfingen, SindelfingenStartdatum:..6Veröffentlichungsdatum:..5Stellennummer:MER3VK0Arbeitszeit:Vollzeit BewerbenAufgabenAs 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: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 sitesFoster collaboration with global teams to enhance transparency and knowledge regarding the production digital portfolioEffectively communicate complex data-driven insights and project updates through engaging presentations in German and EnglishThe activity can begin from March 6.QualifikationenCurrently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or Engineering with an equivalent practical experienceExperience 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 visualizationFluent English and Intermediate German skillsFamiliarity with Databricks, Github and Azure InfrastructureExpertise in DevOps, DataOps and/or MLOpsExperience in collaboration with cross functional teamsFamiliarity with manufacturing processes, supply chain concepts, or industrial engineeringAdditional Information:Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employmentWe 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 We need your consent to load the Youtube serviceWe use a third party service to embed video content that may collect data about your activity. Please review the details and accept the service to watch this video.This content is not permitted to load due to trackers that are not disclosed to the visitor. The website owner needs to setup the site with their CMP to add this content to the list of technologies used.Powered by