About the role

  • Data Scientist with AI production experience to build CUJU's data and ML platform. Responsible for data ingestion, processing, and analytics in sports talent scouting.

Responsibilities

  • End-to-end data systems: Design, build, and maintain robust data ingestion pipelines for large-scale player and performance data.
  • Implement clean, versioned, and well-tested data flows from raw data → analytics → production systems.
  • Own data quality, monitoring, and reliability in production.
  • Software engineering & cloud: Write clean, maintainable, and well-structured Python code that follows software engineering best practices.
  • Build and deploy data services and jobs on AWS (e.g., S3, Lambda, ECS/EKS, Glue, Athena, Redshift, etc.).
  • Optimize pipelines for scalability, cost efficiency, and performance.
  • Predictive analytics: Develop robust predictive models using machine learning, statistical analysis, and advanced analytics techniques to predict performance, injury risk, 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-informed decision-making in product development, business strategy, and operational improvements.

Requirements

  • 7+ years of professional experience in data-intensive roles (Data Science, Data Engineering, ML Engineering, or similar).
  • Strong programming skills in Python (clean architecture, testing, modular design — not just scripts).
  • Solid SQL skills and experience designing analytical schemas.
  • Hands-on experience building production data pipelines and services.
  • Strong experience with AWS and cloud-native data architectures.
  • Familiarity with infrastructure concepts (CI/CD, monitoring, logging, deployments).
  • Experience with statistical methods and ML in real products.
  • Comfortable working with imperfect, real-world data and evolving requirements.
  • Focused on business and product impact, not just model performance.
  • You understand that data work is software development.
  • Proven ability to translate complex data analyses into clear, impactful business recommendations.
  • Excellent communication skills in English, with the ability to collaborate effectively with interdisciplinary and international teams.
  • Passion for sport, performance analytics, and using data to make a real impact.

Benefits

  • Opportunity to become a 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 days of vacation, competitive compensation, corporate benefits, and more.
  • Work at the intersection of sport and technology — with international clubs, partners, athletes, and influencers.
  • Creative freedom and responsibility — actively shape processes, contribute ideas, and make a real impact.
  • Short decision paths — direct communication, fast decisions, and close collaboration with leadership.
  • Flexibility — hybrid or on-site in our Munich office.
  • Personal development — individual learning opportunities and the chance to grow beyond yourself.

Job title

Senior Data Scientist

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job