Senior Data Scientist: Football Data

Description

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.

Key points you need to know:

• Stats Perform collects sports data and uses artificial intelligence to provide insights for media, technology, betting, and team performance.
• The role of Senior Data Scientist involves researching and implementing innovative machine learning techniques on unique sports data sets.
• The Data Scientist will work with a dynamic team to create cutting-edge models and products at a fast pace.
• They will also collaborate with product teams to provide technical guidance on AI approaches.
• The role includes patenting innovative solutions and enabling products with machine learning capabilities at vast scale.
• The ideal candidate will have at least 1 year of relevant industry experience in software engineering or machine learning and data science.
• They should have hands-on experience with building enterprise-grade machine learning and data platforms and familiarity with common machine learning algorithms.
• They should also have knowledge of advanced ML techniques and proficiency in high-level programming languages such as Python and big data tools.
• Experience with cloud infrastructure such as AWS or Google Cloud and modern deep learning engines like Tensorflow or PyTorch is preferred.
• The candidate should have excellent communication and presentation skills and be an open-minded, structured thinker.
• They should have a Bachelor's, Master's, or PhD in Computer Science, Mathematics, Computational Statistics, Machine Learning, or related STEM fields.

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. An open minded, structured thinker.

Who we are in more detail:

Stats Perform collects the richest sports data in the world and transforms it through revolutionary artificial intelligence (AI) to unlock the most in-depth insights for media and technology, betting and team performance. With company roots dating back almost 40 years, Stats Perform embraces and solves the dynamic nature of sport – be that for digital and broadcast media with differentiated storytelling, tech companies with reliable and fast data to power their own innovations, sportsbooks with in-play betting and integrity services, or teams with first-of-its-kind AI analysis software. As the leading sports data and AI company, Stats Perform works with most of the top global sports broadcast companies, tech companies, sportsbooks, teams and leagues.

Stats Perform’s extensive list of customers includes four of the top-five most popular global sports broadcast companies, seven of the top-10 global tech companies, all of the top-10 sportsbooks and seven of the top-10 football (soccer) franchises. We collect more than 30 million unique data points and distributes them to more than 1,800 customers, reaching over three billion fans a year.

Stats Perform collects the richest sports data in the world and transforms it through revolutionary artificial intelligence (AI) to unlock the most in-depth insights for media and technology, betting and team performance. With company roots dating back almost 40 years, Stats Perform embraces and solves the dynamic nature of sport – be that for digital and broadcast media with differentiated storytelling, tech companies with reliable and fast data to power their own innovations, sportsbooks with in-play betting and integrity services, or teams with first-of-its-kind AI analysis software. As the leading sports data and AI company, Stats Perform works with most of the top global sports broadcast companies, tech companies, sportsbooks, teams and leagues.

Contact:

Ladislav Hajek
+420 608 761 805
[email protected]