Data Scientist – United Kingdom

Do you have a background in Data Science, Machine Learning, Computer Vision, Physics, Statistics or Probability Theory? 

Do you have a passion for sports? 

Do you live to find data driven solutions to complex problems? 

 

Come join our team at Stats Perform as a Data Scientist building predictive models with modern deep learning tools that will be utilized by the world’s leading technology companies, sports franchises and sports book operators.  

 

Job Purpose: 

 

The role is part of the AI Team with the purpose to bring new models & products to market at a fast pace. You will be part of a dynamic team which will work on solving complex problems by creating cutting edge models based on unique data sets, work with a team on launching the initial product, transition it into the product engineering function and move on to the next challenge.  

 

WHAT’S YOUR NEW ROLE ABOUT   

• Research and modeling:  
• Researching, developing, and implementing the most innovative machine learning techniques to Stats Perform’s wealth of sports data (both structured and unstructured)  
• Productizing artificial intelligence based solutions alongside engineers and product teams  
• Providing technical guidance to product teams on the artificial intelligence (machine learning and computer vision) approaches appropriate for a task  
• Patenting the innovative solutions  
• Lifecycle and collaboration with our teams:  
• Machine Learning lifecycle: data prep, training data generation, feature engineering, optimization, experimentation, reproducibility, deployment, and end-to-end workflow management  
• Partners and stakeholders: identify data acquisition opportunities, create requirements, transform large volume data into AI ready high quality relevant datasets  
• Accelerate the velocity from idea to interference into production  
• Achieve quality ML data using a triad of people, process & technology  
• Conduit between Product and Data Engineering to bring new models into production in a quick and efficient way 
• Support, train and mentor team members on best ML implementation practices  
• Enabling our products  
• ML and Deep Learning capabilities at vast scale by developing the necessary systems, tools, technologies and integrations as part of the ML Platform offering  

Our team members typically have:  

 

Experience  

• At least 1year of relevant industry experience in software engineering or machine learning and data science  
• Hands on experience with building enterprise grade machine learning and data platforms  
• Familiarity with common machine learning algorithms (random forest, XGBoost, etc.)  
• Preferred knowledge of advanced ML techniques (neural networks/deep learning, reinforcement learning, active learning, data augmentation and GANs etc.)  
• Experience with high-level programming languages such as Python and preferred knowledge of big data tools  
• In-depth working knowledge of cloud infrastructure such as AWS or Google Cloud  
• Proficiency in, at least, one modern deep learning engine such as Tensorflow, PyTorch etc. (preferred: knowledge of using GPUs) 
•  Experience in integrating with internal and external complex systems that are able to scale and demonstrate security, reliability, scalability, and cost efficiency  
• Experience in projects involving large scale multi-dimensional datastore, complex business infrastructure, and cross-functional teams, and track-record of successfully launched ML projects in production  
• Passion for creating new technologies with high product impact within sport. 

Education  

• Bachelor’s, MS or PhD in Computer Science, Mathematics, Computational Statistics, Machine Learning or related STEM fields  

Skills:  

• Verbal/written communication and presentation skills, including an ability to effectively communicate with both business and technical teams, and both internal and external stakeholders  o An open minded, structured thinker