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.
#J-18808-Ljbffr
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.