Senior Data Scientist; mwd

Location:

Hybrid München / Frankenthal / Hamburg / Cologne / Remote Germany

A hands‑on Data Scientist with AI production experience responsible for designing, building and operating the data and ML platform from scratch.

Start: ASAP |

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 a founding member of CUJU’s new Data Team you will build the data and analytics backbone of a football performance and talent diagnostics platform used by players, scouts and clubs worldwide.

You will work with large‑scale football performance data generated from smartphone video recordings, standardized drills and AI‑based movement analysis, transforming raw noisy inputs into reliable production‑grade data products. You will design and implement systems that ingest, process and analyze player data, enabling objective benchmarking, longitudinal player tracking and data‑driven talent identification.

Beyond performance analytics you will also enable product and business insights, building analytics around user behavior, feature adoption, retention and churn to inform product decisions and growth. This role is for someone who understands that football data and product analytics are built through software: robust pipelines, scalable cloud infrastructure and well‑engineered analytics, not just offline modeling.

We are looking for someone who is comfortable building, deploying and maintaining production‑grade data systems. Your work will directly power CUJU’s core use cases across player evaluation, development insights, talent discovery and product optimization.

What You’ll Work On:

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 to analytics and production systems.
• Own data quality monitoring and reliability in production.

Software Engineering & Cloud:

• Write clean, maintainable and well‑structured Python code following 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 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:

• 7 years of professional experience in data‑heavy 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 applying statistical methods and ML in real products.
• Comfortable working with imperfect real‑world data and evolving requirements.
• Focus on business and product impact, not just model performance.
• You understand that data work is software engineering.
• Proven ability to translate complex data insights into clear, impactful business recommendations.
• Excellent communication skills in English with the ability to…