Soccer Data Scientist - Real-Time Betting ML Innovator

Soccer Data Scientist - Real-Time Betting ML Innovator

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Stryker Corporation

At a Glance

  • Tasks: Develop machine learning models for soccer betting insights and collaborate with teams.
  • Company: Swish Analytics, a leader in predictive data products.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Fast-paced environment with potential for significant impact on the industry.
  • Why this job: Join a dynamic team and innovate in the exciting world of sports betting.
  • Qualifications: Experience in data science and machine learning, with a passion for soccer.

The predicted salary is between 63000 - 77000 Β£ per year.

Swish Analytics is hiring a Soccer Data Scientist to own core components of our predictive data products.

You will develop and productionize machine learning models for soccer-related betting insights, collaborating with data engineering and product teams to deploy new models.

The role emphasizes building context-rich feature sets, rigorous offline/online experiments, and clear documentation for stakeholders across technical and non-technical audiences.

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Soccer Data Scientist - Real-Time Betting ML Innovator employer: Stryker Corporation

Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.

Stryker Corporation

Contact Details:

Stryker Corporation Recruitment Team

We think you need these skills to ace Soccer Data Scientist - Real-Time Betting ML Innovator

Machine Learning
Predictive Modelling
Data Engineering Collaboration
Feature Engineering
Experimental Design
Documentation Skills
Stakeholder Communication