Senior Data Scientist Germany

Location: Hybrid – München / Frankenthal / Hamburg / Cologne / Remote Germany

Industry: AI Tech Sport | Start: | Languages: Fluent English

Make the Unseen seen Our goal is to reinvent scouting in football and build the #1 global scouting platform for identifying and developing talent. With the help of modern AI technology, CUJU enables every young football talent to be seen – regardless of origin, gender, or social background. We create fair opportunities and transparent pathways into professional sports. Our platform connects athletes, clubs, and organizations worldwide to rethink scouting – data-driven, objective, and mobile. Together, we are shaping the next generation of global talent scouting.

Your Mission: As CUJU's first Senior Data Scientist, you'll pioneer our data science initiatives, harnessing massive datasets of player performance to unlock new insights and products. Your analyses and predictive models will directly influence strategic decision-making, enhance player development, and revolutionize how football talent is identified and nurtured.

What You'll Work On:

• Data Exploration & Modeling: Analyze extensive datasets from player performance, training sessions, and diagnostic assessments to uncover meaningful patterns and insights.
• Predictive Analytics: Develop robust predictive models using machine learning, statistical analysis, and advanced analytics techniques to forecast performance, injury risks, and talent potential.
• Data Product Development: Collaborate closely with Product, AI, and Engineering teams to translate analytical insights into innovative, data-driven product features and offerings.
• Strategic Influence: Drive data-driven decision-making across product development, business strategy, and operational improvements.

What You Bring:

• 5+ years of professional experience as a Data Scientist and 3 years of them in production, ideally within performance analytics, sports analytics, or related fields.
• Expertise in statistical modeling, machine learning techniques, predictive analytics, and big data analysis.
• Strong proficiency in Python, SQL, and relevant data science libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Pandas).
• Experience with cloud platforms such as AWS.
• Proven ability to translate complex data insights into clear, impactful business recommendations.
• Excellent communication skills in English, with the ability to effectively collaborate with cross-functional and international teams.
• Passionate about sports, performance analytics, and leveraging data to make a real-world impact.

• Opportunity to be the founding member of a strategic new Data team.
• Significant influence on CUJU's growth, product strategy, and industry-leading innovation.
• Diverse benefits – e.g. 30-day vacation, competitive compensation, corporate benefits and more
• Work at the intersection of sports and technology – with international clubs, partners, athletes, or influencers
• Creative freedom & responsibility – actively shape processes, contribute your ideas, and make a real impact
• Short decision-making paths – direct communication, quick decisions, and close collaboration with management
• Flexibility – hybrid or on-site in our Munich office
• Personal development – individual learning opportunities and room to grow beyond yourself
• Team spirit & culture – a young, motivated international team, regular events, and a supportive environment
• Purpose & impact – build something together that transforms the world of sports

Your Impact:

• Establish foundational data science capabilities at CUJU, directly influencing our approach to player performance and talent development.
• Drive innovation through data, developing products that set new benchmarks in sport-tech analytics.
• Enable smarter, data-driven decisions, significantly impacting player outcomes, injury prevention, and overall performance optimization.

Is this your next big play?

Are you passionate about sports, communicative, and eager to actively shape the future of sports? Then we look forward to your application

Please send us your CV directly via the application link for JOIN.

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