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
