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Internship/Final Thesis - IT Innovation - Consumer Segmentation with Big Data Methods (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.

 

An internship at adidas provides you with a unique opportunity to apply what you have learned at university, use your knowledge in practice and live your passion for sports.

 

 adidas strives to be at the forefront of innovation and we need your support to put our customer segmentation system based on big data to the next level. As a future member of the IT Innovation team you will work on data analysis methods to reveal relevant and groundbreaking consumer insights.

 

The analysis will be based on different data sources (e.g. public, social media, …) as well as analysis services (e.g. image, sentiment, …). You will enhance and improve our existing processing and analysis pipeline and develop new insights for our internal research & innovation teams and business partners.

 

We are looking for innovative scientific solutions and therefore expect you to conduct a master thesis in the course of the internship. We will support you in defining the specific topic with your university supervisor.

 

Objectives:

  • Understand, improve and enhance our data collection and processing pipeline
  • Understand business background and develop concepts for new use cases
  • Develop machine learning algorithms (unsupervised classification, data mining)
  • Derive meaningful insights for research and business teams
  • Visualize and presentation of the results to the upper/senior management teams

 

Your Profile:

  1. Student of computer science, data science or related subjects
  2. Strong knowledge of machine learning and statistics methods
  3. Strong knowledge of software development in Python
  4. Basic knowledge of cloud platforms like Microsoft Azure and AWS
  5. Basic knowledge of sport and behavioural science
  6. Basic knowledge of web crawling and social media analytics
  7. Excellent skills in communication and collaboration
  8. Good skills in results-oriented and independent working
  9. Fluent English (verbal and written)
  10. Enrolled as full-time student for the complete duration of the internship

 

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 Innovation - Consumer Segmentation with Big Data Methods (m/f/d)

Brand:  adidas
Location:  Herzogenaurach
TEAM:  Information Technology
State: 
Country/Region:  DE
Contract Type:  Intern
Number:  225893
Date: