Data Scientist (m/f/ d)

Join Sportradar: Leading the Future of Sports Technology

Sportradar is the world's premier sports technology company, seamlessly integrating sports, media, and betting. Our cutting-edge solutions are trusted by over 1,700 sports federations, media outlets, betting operators, and consumer platforms in 120 countries to enhance their business operations.

About the Position: Data Scientist (m/f/d)

Reporting To: Head of Quants

Location: Remote / Office-based options available

Key Responsibilities

As a Data Scientist, you will collaborate closely with Quantitative Analysts, Product Owners, Developers, and Traders to:

• Create and maintain predictive models for pre-match and in-play betting markets across various sports, with a particular focus on electronic sports.
• Clean, visualize, analyze, and interpret relevant data for predictive modeling.
• Implement and test models in Java, and publish and maintain these Java libraries.
• Support the codebase and optimize existing predictive models.
• Research and innovate new methods for future applications and projects.

Challenges

• Master the intricacies of predictive models in the betting industry.
• Maintain and enhance the team's codebase.
• Analyze, evaluate, and co-own predictive models.
• Develop innovative methods for optimal data analysis.

Your Profile

Required Qualifications:

• Master’s degree or higher in Data Science, Statistics, Mathematics, Software Engineering, or a closely related field.
• 3+ years of experience in predictive modeling with expertise in techniques like GLMs, Time-Series Analysis, Bayesian Statistics, MCMC, neural networks, etc.
• Proficiency in R or Python, alongside advanced coding and analytical skills.
• Strong communication skills with fluency in English.
• Creative thinker who strives to refine systems and processes.
• Highly self-motivated and exemplary team player with robust interpersonal skills.

Preferred Qualifications:

• Experience in object-oriented programming, particularly Java.
• Familiarity with tools like GitLab, Jira, and Confluence.
• Proficiency in SQL.

Additional Information

Employer: Sportradar

Sportradar is an Equal Opportunity Employer. We encourage diversity and inclusivity in our teams. All qualified applicants will receive consideration without regard to background, status, or personal preferences.

Take the next step in your career and become part of the innovative world at Sportradar. Apply now for the Data Scientist role!