Data Scientist, Nba

at  theScore

theScore, a wholly-owned subsidiary of PENN Entertainment , empowers millions of sports fans through its digital media and sports betting products. Its media app ‘theScore’ is one of the most popular in North America, delivering fans highly personalized live scores, news, stats, and betting information from their favorite teams, leagues, and players. theScore’s sports betting app ‘theScore Bet Sportsbook & Casino’ delivers an immersive and holistic mobile sports betting and iCasino experience. theScore Bet is currently live in the Company’s home province of Ontario. theScore also creates and distributes innovative digital content through its web, social and esports platforms.
About the Role & Team
We are looking for a Mid-Level Data Scientist to join our Data team. The Data Science team here at Penn is responsible for building models, forecasts, and simulations to help improve theScore Bet, ESPN Bet and iCasino products. Our team values creativity, collaboration, ingenuity, and ownership. We are looking for someone who is interested in joining a team responsible for building net new end-to-end sports data products to further our team’s mission of creating a world-class, data-driven product experience.
About the Work
Machine learning & statistical modeling: we want to be able to predict the likelihood or expected outcome of various events across different sports.
AB Testing: we want data to inform the development of our products and features.
Predictive & Prescriptive Analytics: we want to share in-depth knowledge on how our features are working and our forecasts are performing.
Developing pipelines and developing models: we work closely with data and infrastructure engineers to deploy our models and develop required data pipelines to build data products.
Develop best practices for our internal data processes that include model building, modeling techniques, improved latency, and readability.
Design and build new predictive models and optimization routines that have an enterprise level impact. This varies from modeling expected sporting outcomes at an event level to utilizing various game state data to simulate full spectrums of expected outcomes.
Collaborate with other members of the Data Science and Engineering teams on ways to approach problems, augment code, and share new techniques.
Deploy modeling deliverables in conjunction with functional team leaders and stakeholders (in Product, Trading, etc.).
Analyze results using solid statistical methods to iteratively improve data products.
Communicate clearly, efficiently, and empathetically with technical and non-technical stakeholders.
Write and maintain technical design and git/confluence documentation.
Other duties as required.
About You
Experience solving quantitative problems with MLB, NBA or NFL data.
A firm grasp of utilizing sport-specific problem-solving techniques to model various elements of the game.
The ability to dynamically project various aspects of player and team performance.
Proficiency in developing simulations replicating the dynamics and intricacies of a sporting game.
Proficient at writing code in Python and SQL to create meaningful insights.
Experienced at creating algorithms, features, and applying machine learning data models to solve sports problems.
Collaboratively iterative on data science products in an experimental fashion to rapidly adapt and improve products.
Understanding of classification, regression and forecasting models, and A/B testing.
Experience provisioning services using GitHub.
Ability to take ownership of your work to achieve the necessary high-level objectives.
Nice to Have
Familiarity with MLFlow.
Familiarity with AWS/GCP.
Experience setting up ML CI/CD pipelines, testing and validating code/data, managing databases, and deploying models.
Experience with any of Docker, Kubernetes with Terraform, Cloudwatch.
What We Offer
Competitive compensation package
Education and conference reimbursements
Parental leave top up
Opportunities for career progression and mentoring others
Candidates residing in Ontario requiring special accommodation can email accessibilityoffice@thescore.com
theScore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability or age

Please refer the Job description for details