Internship from May 2017 on in Data Scientist, Digital Unit, After-Sales in Stuttgart

Job description

Tasks

Within the cross-divisional Digital Unit at Daimler AG, we join forces from our Marketing and IT divisions to design and develop innovative, market-oriented solutions tailored to individual customer segments. While we are constantly looking for new talent, we are currently looking in particular for Data Scientist Interns to join our After-Sales Market Data and Analyses team.

The After-Sales Market Data and Analyses team is located in Stuttgart and collaborates closely with R&D in Sunnyvale. We support After-Sales departments in our headquarters as well as locally in our markets and also support more than 2000 retailers worldwide. As part of our daily work, we follow a two-speed model: On the one hand, we are constantly improving and extending our large-scale reporting systems. Simultaneously, we are designing and conducting new analyses based on these systems to advance our customer understanding and to improve their After-Sales service experiences.

As part of your internship, you would have a personal mentor who assists you in your daily work and who can introduce you to other colleagues and teams. You would also have access to internal trainings and materials that will allow you to conduct complex analyses on our analytics servers and to create efficient visualizations for presenting your results. However, you would be expected to manage your work and drive your analyses independently. Thus, if you are a highly motivated student interested in applying your data analysis and visualization skills, then we would like to hear from you!

Responsibilities:
- Analyze business requirements of our After-Sales division and collaborate independently and closely with colleagues from IT and R&D
- Build machine learning models and design new prototypes that help retailers to address customers preferences
- Improve large-scale reporting systems that allow market and product managers to tailor, measure, and optimize campaigns
- Support and improve daily team processes such as development of presentations and training materials
- Initiate and manage execution of own big data use case (depending on qualifications)

Qualifications

Studies: Currently pursuing or planning to pursue MS or PhD with a strong focus on data analysis and visualization (e.g., Physics, Mathematics, Computer Science, Business, Engineering, Statistical Psychology)
IT Skills: Ability to work efficiently with MS Office products, ability to work independently in at least one of the following areas: (1) Database querying with SQL, (2) Statistical analysis with Python, (3) Data visualization with Tableau (or similar products), demonstrated ability to conduct data analyses (e.g., previous internships, case studies/projects at University) and an ability to draw conclusions and recommend actions.
Language Skills: Fluent in English and German (written and spoken)
Personal Skills: Flexibility, Diligence

Die Tätigkeit ist in Vollzeit

Are you interested? Please apply online on our website with your complete documents as an attachment (CV with indicating nationality, certificate of school enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study.
Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.
We particularly welcome applications from disabled persons. If you need further assistance, please do not hesitate to contact the disabled employees representative who will gladly support you during the application process.

Contact specialist division: Mr. Martin Kretzer, E-Mail:
Contact Human Resources: HR Services, Phone: +49 711/17 - 99544.

Desired profile

Qualifications

Studies: Currently pursuing or planning to pursue MS or PhD with a strong focus on data analysis and visualization (e.g., Physics, Mathematics, Computer Science, Business, Engineering, Statistical Psychology)
IT Skills: Ability to work efficiently with MS Office products, ability to work independently in at least one of the following areas: (1) Database querying with SQL, (2) Statistical analysis with Python, (3) Data visualization with Tableau (or similar products), demonstrated ability to conduct data analyses (e.g., previous internships, case studies/projects at University) and an ability to draw conclusions and recommend actions.
Language Skills: Fluent in English and German (written and spoken)
Personal Skills: Flexibility, Diligence