Working Student (f/m/d) - Esports data scientist

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work.

We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!

ABOUT THE TEAM

The SAP esports team works together with our partners in the esports ecosystem to position SAP. We show how to use SAP software in the digital native sport to build an analytics platform for professional teams.

There analysts and coaches can track the performance of their players and their opponents to fuel data driven strategies.

THE ROLE

Your responsibilities :

• Build AI models using state-of-the-art techniques for analyzing esports data
• Test the applicability of these models and refine them as needed
• Collaborate with analysts and coaches to understand their needs and provide data-driven strategies
• Integrate successful models into the analytics platform for Team Liquid's League of Legends team

Why would you take this role :

• Opportunity to work with a leading esports team and gain industry experience
• Hands-on experience with data analysis and machine learning techniques
• Active involvement in the development and deployment of AI models for esports
• Exposure to industry-standard tools and technologies used in professional esports analytics

ROLE REQUIREMENTS

You are a student (f / m / d) at a university or a university of applied sciences. We’re looking for someone who takes initiative, perseveres, and stay curious.

You like to work on meaningful innovative projects and excel at applying the theory of university in the real world.

• Currently studying in a relevant field such as computer science, data science, or machine learning
• Strong programming skills, preferably in Python
• Familiarity with machine learning techniques and frameworks, such as TensorFlow or PyTorch
• Knowledge of statistics and data analysis techniques
• Basic understanding of the game League of Legends
• Ability to work independently and collaborate effectively with a team
• Strong problem-solving and analytical skills

This is an SAP global, strategic, paid working student position that provides students with opportunities to find purpose in their careers.

Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former

employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.

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