Sportradar
Sports
DataScientist[m/f/d]
Neural analysis suggests this role is
optimal for mid candidates.
“Data Scientist [m/f/d] at Sportradar. Skills: Data analysis, Machine Learning, AI, Reporting. Interpret data to inform decisions. Tell accurate stories to advertisers/stakeholders”
Industry & Context.
Analytically thinking; Problem Solver
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Physics, Mathematics, Software Engineering or similar, Understanding of analytical processes, tools, methods, Advanced knowledge of SQL or other analytical languages, Good English communication skills
Nice to Have
Understanding of AWS Toolset, Experience with Data Visualization Tools, Experience with Python (PySpark)
What You'll Do.
Interpret data to inform decisions
Tell accurate stories to advertisers/stakeholders
Evaluate existing data sources
Perform QA and health checks
Ensure data integrity
Evolve & Implement Machine Learning & AI
Deliver projects which generate value
Collaborate with sales
tech and product teams
Design digital dashboards
Implement digital dashboards
Refine digital dashboards
Build end-to-end process for Data Ingestion
Scale end-to-end process for Data Ingestion
Deliver end client reporting
How You'll Work.
Team & Collaboration
Sales teams; Tech teams; Product teams; Analytics team
Communication Scope
English communication
Process & Methodology
Agile
Full Job Description
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. OVERVIEW We are looking for a highly motivated Data Analyst (m/f/d) with great communication skills who will work alongside a small team of talented and experienced analysts, use modern technology and methods, and continually push boundaries to further develop and expand our reporting suite. The ideal candidate should have advanced knowledge about analytics and a big passion and motivation for learning. You will have an excellent opportunity to join a growing team that is developing and managing Sportradar’s digital advertising platform. Within the self-organized and agile analytics team, you will play an active role in developing Sportradar’s client-facing advertising services that we are further driving with our cutting-edge technologies and highly motivated team members. THE CHALLENGE * Interpreting data to inform decisions and tell accurate stories to our advertisers/stakeholders. * Evaluating existing data sources and related products on a regular basis, performing QA and health checks to ensure data integrity. * Evaluation, Evolution & Implementation from concept to delivery using Machine Learning & AI to deliver projects which generate value to our end clients. * Collaborating with sales, tech and product teams to design, implement and refine state-of-the-art digital dashboards. * Helping Build & Scale the end-to-end process for Data Ingestion all the way through to end client reporting. * Have a „get it done“ attitude and deliver superb work repeatedly. YOUR PROFILE Required: * Bachelor’s degree in Computer Science, Physics, Mathematics, Software Engineering or similar * Understanding of analytical processes, tools, methods * Advanced knowledge of SQL or other analytical language
Applying for this Data Scientist [m/f/d] role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Sportradar?
Real rants from real employees. Read before you apply.