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

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.

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

• 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