Data Scientist MLB
Data Scientist MLB
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Job Description
PENN Entertainment Inc. is North Americas leading provider of integrated entertainment sports content and casino gaming experiences. From casinos and racetracks to online gaming sports betting and entertainment content we deliver the experiences people want how and where they want them.
Were always on the lookout for those who are passionate about creating and delivering cuttingedge online gaming and sports media products. Whether its through ESPN BET Hollywood Casino theScore Bet Sportsbook & Casino or theScore media app were excited to push the boundaries of whats possible. These stateoftheart platforms are powered by proprietary inhouse technology a key component of PENNs omnichannel gaming and entertainment strategy.
When you join PENN Entertainments digital team youll not only work on these cuttingedge platforms through theScore and PENN Interactive but youll also be part of a company that truly cares about your career growth. Were committed to supporting you as you expand your skills and explore new opportunities.
With locations throughout North America you can build a future at PENN Entertainment wherever you are. If you want to challenge conventions in gaming media and entertainment we want to talk to you.
- 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 indepth 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 nontechnical stakeholders.
- Write and maintain technical design and git/confluence documentation.
- Other duties as required.
- 4 Years of experience working as a Data Scientist
- Experience solving quantitative problems with MLB Sports modelling data.
- A firm grasp of utilizing sportspecific problemsolving 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 highlevel objectives.
- 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
- Competitive compensation package
- Education and conference reimbursements
- Opportunities for career progression and mentoring others
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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.
Employment Type
Full Time
