Job Title

In order to be considered for this role, after clicking ''''Apply Now'''' above and being redirected, you must fully complete the application process on the followup screen. OEG Sports & Entertainment delivers North Americas leading sports and entertainment experiences to connect our fans to their passions. Located in the heart of the ICE District, OEG owns the 5time Stanley Cup Champion Edmonton Oilers, the WHLs threetime Memorial Cup Champion Edmonton Oil Kings, and the AHLs Bakersfield Condors. OEG operates Rogers Place, North Americas premier and most technologically advanced sports and entertainment venue. The 18,647 seat, $480million arena is among the most technologically enabled sports facilities in North America as well as the first LEED Silvercertified NHL Facility in Canada. Our vision is to be a Global Leader in Sports & Entertainment. Together, we inspire our fans by connecting them to their passions, which is ours as well! We play hard as a team, and with devoted integrity towards our common purpose. We have commitments to innovation and growth, combined with performance excellence that ensures a fair return on investment. We develop our people to be leaders in our industry, and we invest in our communities. Through our world class talent, we strive to WIN. ON and OFF the ICE. About the Role The Edmonton Oilers Hockey Club , a premier NHL organization, is building a new Hockey Analytics & Technology group to push the boundaries of datadriven decisionmaking in hockey. The group will leverage all aspects of technology (including data, analytics, and software development) to enhance player evaluation, team strategy, and overall performance. This work will directly impact organizational decisionmaking and the longterm competitiveness of the team. As a Senior Data Scientist in the Hockey Analytics & Technology group, you will play a pivotal role in developing advanced machinelearning (ML) models that provide actionable insights for executives, scouts, and coaches. This role will leverage largescale historical datasets in player tracking, game events, and scouting reports to create these models, where the only constraint is your creativity. You will work on cloud platforms and Databricks to perform R&D, build scalable data science pipelines, and deploy your machinelearning models. You''''ll also collaborate with the larger team to create compelling end products for our internal web application using the outputs youve created. The successful candidate will be a knowledgeable practitioner in MLOps via MLFlow for managing machinelearning workflows. A deep understanding of ML algorithms, highdimensional data, and experience in rapid development of prototypes will be critical. Your Focus in this Role Lead development and deployment of machinelearning models for player evaluation, game strategy, and operational decisions. Drive R&D efforts to develop nextgeneration models using largescale experimental datasets, exploring novel approaches that push the boundaries of whats possible in hockey analytics. Implement scalable workflows using Azure and Databricks , with a focus on model deployment. Oversee MLOps/ModelOps processes, including MLFlow for tracking experiments, model versioning, and deployment. Collaborate with Developers and domain experts to design datadriven products and ensure insights are delivered visually in engaging formats via our internal web application. Use appropriate toolsets (such as PowerBI, Notebooks, or Streamlit) to communicate adhoc prototypes and Proof of Concepts before moving things towards production. Optimize, enhance, and scale existing predictive models and deploy them for realtime usage. Stay current with machinelearning advancements to continually push the teams capabilities. Qualifications Education: Bachelors degree in Data Science, Statistics, Computer Science, Operations Research, Applied Mathematics, or related field (Masters or PhD considered assets). Experience: 5+ years in data science or analytics, ideally with a focus on sports or performance data. Technical Skills: Proficiency in Python (pandas, scikitlearn, numpy) and/or R for statistical modeling and analysis. Experience with Azure cloud services and Databricks for big data management and model deployment. Expertise in MLOps/ModelOps , with experience using MLFlow for model management. Knowledge of basic statistics, simulation, optimization algorithms, and an overall analytics toolbelt is considered a major asset. Experience with highdimensional data modeling. Comfortable using tools such as PowerBI , Jupyter notebooks , Streamlit , or Plotly to communicate model outputs, visualize insights, and build rapid prototypes. Experience with light data engineering tasks such as building ETL pipelines and transforming data as required for modeling input. Deep experience with machinelearning algorithms (e.g., random forests, neural networks, gradient boosting) is a requirement. Knowledge of deep learning frameworks (TensorFlow, PyTorch, Keras, etc.) considered an asset. Hockey Knowledge: This is a dream role for hockey modeling obsessives. We want someone who lives and breathes hockey analyticswhether that means youve built your own expectedgoals models, scraped data to answer questions no one else is asking, or debated methodology on Twitter/X. Deep familiarity with advanced metrics (e.g., Expected Goals, WAR, Corsi, Fenwick) and the evolution of public hockey analytics is strongly preferred. Candidates who have pursued their own highquality hockey analytics or modeling projects are of particular interest. Experience with an existing NHL hockey analytics department is considered a major asset. Strong communication skills to present complex analyses to nontechnical audiences. Work Style: Youre a selfstarter who moves fast and iterates faster. You bring optimistic energy to the team and arent afraid to take bold swings on new modeling approaches. You thrive in an environment where risktaking is encouraged, collaboration is the default, and youre given the time and support to iterate and successfully create the models that matter most. Why Join Us? Be part of the innovative team at the forefront of hockey analytics in the NHL, where the pace of work is intense but the impact you can have is real & tangible. Competitive salary and benefits package. Next Steps Thank you for your interest in joining our team! Those moving forward in the process will be contacted by a member of our team. Stay in Touch! Official Edmonton Oilers Website | NHL.com #J-18808-Ljbffr