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Internship/Final Thesis - IT Data & Analytics - Arteficial Intelligence (m/f/d)

Are you #heretocreate the future of sport with us? Are you ready to put the books aside and get hands-on experiences? Here is your chance to join the best sports brand in the world.

 

adidas is a truly global company with its roots in Germany. Around the world we employ over 57,000 people. Employees from about 100 nations are working at our global HQ in Herzogenaurach, Germany – the ‘World of Sports’. Every year we produce over 900 million sports and sports lifestyle products and we believe that through sports we have the power to change lives.

 

High quality products depend on high quality data. As we digitalize our value chain and product creation processes we require a growing number of high quality data points for each of our products. Digitalization also enables us to connect and accelerate our processes. To be able provide more data, in a shorter period of time, at high quality, we are are exploring how we can leverage new technologies such as artificial intelligence, image recognition, or crowd sourcing.

 

A key to accelerating data creation is detecting relationships between different product attributes. By using statistical models to better understand the relationships between highly correlated variables we are aiming to design data automation and validation logics that can assist and accelerate the work of our product managers and developers.

 

To detect relevant relationships between data points, the Data Quality Team offers an internship with the possibility to perform a Master thesis in the field of Advanced Analytics using current and historic product data. The goal is to use statistical modelling to reliably detecting relationships and to suggest automation and validation logics.

 

Bachelor/Master-Thesis Topic:

"Acceleration of Product Data Creation through Artificial Intelligence"

 

Objectives:

  • Literature review in the field of data-driven releationship detection
  • Identifying the most relevant correlated product attributes
  • Reviewing correlated attributes with data scientists and product managers
  • Develop statistical model to determine relationship between correlated attributes and apply to one attribute pair
  • Suggest how to apply the result to analytics use case
  • Presentation of the results to the upper/senior management teams

 

Your Profile:

  1. Student of Informatics, Computer Science, Information Theory, Medical Engineering or comparable studies with at least good performance
  2. Strong skills in data preparation (e.g. Alteryx, Knime, Talend, MS Access)
  3. Strong Python or R skills (ideally in notebook environment)
  4. Enrolled as full-time student for the complete duration of the internship
  5. Good analytical skills and passion for scientific and applied research
  6. Methodological knowledge in the areas of data analytics and programming skills
  7. Experience with elastic search databases will be considered a plus
  8. Interest in learning and using new concepts/technologies in the context of your research
  9. Self-motivated, proactive and able to work independently
  10. Strong time management skills
  11. Fluent in English

 

Operational Setup:

  • You will be employed as an intern for the duration of 6 months
  • The final thesis topic will be defined in agreement with you and the supervising professor. A requirement for doing your thesis with adidas is the supervision commitment of a professor. We will support you in this matter

 

Key Facts:

  • Application Deadline: March 15th, 2020
  • Start Dates: September 1st, 2020 or September 15th, 2020
  • Duration: 6 months
  • Location: adidas Headquarters in Herzogenaurach near Nuremberg

 

Your application:

  • Show us with your application (CV & motivation letter) who you are, why you want to join adidas and why this specific team
  • Please apply in the same language as the job description
  • Be aware that incomplete applications will not be considered

 

MAKE YOUR MOVE TO THE WORLD OF SPORTS.

Check out: http://www.herzo.adidas-group.com/ and http://bit.ly/adidas_GFTA

adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an Equal Opportunity Employer.

Job Title:  Internship/Final Thesis - IT Data & Analytics - Arteficial Intelligence (m/f/d)

Brand:  adidas
Location:  Herzogenaurach
TEAM:  Information Technology
State: 
Country/Region:  DE
Contract Type:  Intern
Number:  225729
Date: