Data Science Manager, Football
extra holidays - extra parental leave
Work set-up:
Full Remote
Experience:
Senior (5-10 years)
Offer summary
Qualifications:
Expertise in NFL and NCAAFB data analysis and sports betting industry knowledge., Proficiency in machine learning, statistical modeling, and predictive analytics., Experience leading and mentoring data science teams, with strong communication skills., Strong technical skills in SQL, Python (Pandas, Numpy, SKLearn), and cloud platforms like AWS or GCP..Key responsibilities:
- Lead and prioritize data science projects related to football data.
- Manage and mentor a team of data scientists to develop predictive models.
- Collaborate with stakeholders to integrate data-driven solutions into products.
- Monitor and ensure the accuracy and stability of data science models in production.
Job description
PENN Entertainment, Inc. is North America’s 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.
We’re always on the lookout for those who are passionate about creating and delivering cuttingedge online gaming and sports media products. Whether it’s through ESPN BET, Hollywood Casino, theScore Bet Sportsbook & Casino, or theScore media app, we’re excited to push the boundaries of what’s possible. These stateoftheart platforms are powered by proprietary inhouse technology, a key component of PENN’s omnichannel gaming and entertainment strategy.
- Help identify and prioritize impactful data science projects as well define goals & objectives for the team.
- Manage and mentor team members as they progress through their career progression journey.
- Own decisions for Data Science project prioritization, roadmap, workflows, tooling, integrations, modeling techniques, algorithm, deliverables, etc.
- Subject Matter Expertise: Be the football subject matter expert for your teamto ensure datadriven solutions are inline with sportspecific best practices
- Betting Expertise: Knowledge of the sports betting industry and demonstrated experience using football data to solve pricing problems
- Machine learning & statistical modeling: we want to be able to predict the likelihood or expected outcome of various events across different sports.
- Predictive & Prescriptive Analytics: we want to share indepth knowledge on how our features are working and our forecasts are performing.
- Own relationships & touchpoints with primary stakeholders for each project in flight on the roadmap & in production.
- Responsible for monitoring stability and accuracy of data science projects in production.
- Interact regularly department leaders; proactively initiate ideas to improve services or products; contribute to department or group objectives, strategy and priorities.
- Partner cross functionally with key executive leaders within the organization to leverage data in new and innovative ways to drive actionable insights and business value.
- 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.
- Write and maintain technical design and gitconfluence documentation.
- Other duties as required.
-
- Expertlevel skills in solving quantitative problems with NFL andor NCAAFB data & using sports data to solve pricing problems.
- A passion for sports and sports betting
- A Strong grasp of sports betting terminology, the sports betting industry, and betting specific data sources
- A deep understanding of utilizing sportspecific problemsolving techniques to model various elements of the game.
- A deep understanding of utilizing player and ball tracking data and enriched NFL andor NCAAFB playbyplay data to solve football problems and how to utilize model predictions to augment various forecasts.
- Knowledge of best practices in dynamically projecting various aspects of player and team performance.
- Strong grasp on the fundamentals of simulation modeling and latency reduction techniques.
- Previous experience leading a team either in football or in the sports betting industry
- Previous experience scaling an NFL andor NCAAFB data product that provided demonstrable value
- Excellent written, communication, organization, and presentation skills.
- The ability to lead, mentor, and efficiently run a team of data scientists.
- Excellent critical thinking skills to enhance problemsolving techniques, ensure data products are incredibly resilient, and the ability to identify potential edgecases
- Experience with being provided a highlevel longterm objective and leading a team of data scientists to provide a solution.
- Experience working crossfunctionally with engineering teams and provisioning services using GitHub.
- Strong experience with traditional DS tools and frameworks such as SQL, Pandas, Numpy, SKLearn etc.
- Experience with any of Docker, Kubernetes with Terraform, Cloudwatch.
- Experience with DAG orchestration tools suchs as Argo Workflows, Step Functions, Cloud Fucntions, Dagster, Airflow, etc.
- Significant experience with AWSGCP.
About You
Required profile
Experience
Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory. Hard Skills
Data SciencePredictive AnalyticsStatistical ModelingMachine LearningPandas (Python Package)KubernetesAWS Cloud ServicesSQL (Programming Language)Scikit-Learn (Python Package)gRPCNumPy (Python Package)Docker (Software)Business SimulationTerraformModel BuildingMLflowCaffe (Framework)Keras (Neural Network Library)CI/CDTensorFlowPyTorch (Machine Learning Library)
Other Skills
- Team Leadership
- Collaboration
- Communication
- Critical Thinking
- Problem Solving
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