Data Scientist
Role details
Job location
Tech stack
Job description
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., * 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, PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus,..., Assistant Producer - United Kingdom Job Purpose: As an Assistant Producer you will be at the forefront of content creation in a fast-paced sports news environment. You will be part of a Global team covering the biggest stories across the sporting world. Armed with the..., Business Intelligence & Insight Specialist - United Kingdom What you'll be doing…. You are joining a growing business intelligence team who function as an independent unit responsible for end-to-end design, development, and maintenance of external customer reporting...., Director of Shared Services - United Kingdom What you'll be doing…. The Director of HR Shared Services is both a strategic and hands-on role where you will be a leader and team player responsible for providing administrative and analytical support to the HRfunction in the...
Requirements
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?, * 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
Benefits & conditions
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