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Data Scientist, Hockey Analytics
Company | Chicago Blackhawks |
Address | Chicago, IL, United States |
Employment type | FULL_TIME |
Salary | |
Category | Spectator Sports |
Expires | 2023-08-09 |
Posted at | 9 months ago |
Job Title : Data Scientist, Hockey Analytics
- Support development of the Hockey Analytics function to enable efficient, timely, and actionable data-driven decisions that enhance current and future performance across Hockey Operations.
- Communicate findings through written reports, presentations, and informal conversations.
- Build, maintain, and optimize statistical models to evaluate specific aspects of player value and to answer other hockey research questions.
- Develop new project ideas and assess their potential impacts, feasibility, and importance.
- Work collaboratively with the Hockey Systems team to build informative data visualizations, reports, and other end-use tools for use in automated reports or internal web applications.
- Maintain projects to run daily throughout the hockey season.
- Work collaboratively with stakeholders throughout Hockey Operations to formulate hypotheses, analyze data, and effectively deliver insights to optimize player evaluation, player acquisition, player development, roster construction, in-game strategy, and more.
- Demonstrated passion for hockey and familiarity with rules and terminology.
- Values: Inclusive, team player, driven, humble, curious, innovative, positive, results-focused, accountable.
- High degree of professionalism and ability to be trusted with confidential information.
- Degree in computer science, statistics, mathematics, economics, finance, business analytics, or related field.
- Ability to leverage a technical mindset with a creative and analytical approach to problem-solving.
- Ability to manage priorities and coordinate tasks to solve day-to-day challenges in a dynamic environment.
- Experience analyzing datasets and training statistical models using R, Python, or equivalent.
- Ability to relocate to Chicago, IL.
- Strong understanding of machine learning libraries and frameworks, probabilistic programming, etc.
- 2-3 years of work experience in statistics, computer science, machine learning, mathematics, or a related field.
- Excellent written and verbal communication, interpersonal, organizational and project management skills.
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