Senior Data Scientist - Real-Time Sports Modeling

Senior Data Scientist - Real-Time Sports Modeling

Full-Time 60000 - 75000 Β£ / year (est.) No working from home possible
Genius Sports Statistician Network

At a Glance

  • Tasks: Develop predictive models and prototype algorithms for sports products.
  • Company: Join Genius Sports, a leader in sports data technology.
  • Benefits: Enjoy competitive salary, mentorship, and a performance-driven culture.
  • Other info: Autonomous work environment with opportunities for continuous improvement.
  • Why this job: Make an impact in sports tech while working with a talented team.
  • Qualifications: Experience in data science and strong collaboration skills.

The predicted salary is between 60000 - 75000 Β£ per year.

Genius Sports is seeking a Senior Data Scientist to join a highly skilled team of data scientists and engineers.

You will develop predictive models that power our sports products, prototype and evaluate algorithms, and work closely with software engineers, QA, and product managers.

You will mentor teammates, lead discussions to clarify complex requirements, and contribute to continuous improvement while embracing an autonomous, performance-focused approach.

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Senior Data Scientist - Real-Time Sports Modeling employer: Genius Sports Statistician Network

Genius Sports is an exceptional employer that fosters a collaborative and innovative work culture, where data scientists are empowered to develop cutting-edge predictive models in the dynamic world of sports. Located in a vibrant tech hub, employees benefit from continuous growth opportunities, mentorship, and a performance-driven environment that values autonomy and creativity. Join us to be part of a team that not only pushes the boundaries of sports technology but also prioritises your professional development and well-being.

Genius Sports Statistician Network

Contact Details:

Genius Sports Statistician Network Recruitment Team

We think you need these skills to ace Senior Data Scientist - Real-Time Sports Modeling

Predictive Modelling
Algorithm Development
Collaboration with Software Engineers
Quality Assurance (QA)
Product Management
Mentoring
Requirements Clarification