Hockey Analytics Intern — Research & Data Modeling (Remote)

Pittsburgh Penguins

Cranberry Township (Butler County)

Hybrid

USD 89,000 - 112,000

Full time

7 days ago
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Job summary

Pittsburgh Penguins offer a Hockey Research & Development Internship in Pittsburgh, PA, with remote consideration. You will engage with the Hockey Operations unit to analyze data and support decision-making through mathematics and computation.

Ideal candidates are rising juniors, seniors, or current graduate students with skills in math, statistics, and programming (R/Python). The internship runs up to 10 weeks with potential for future opportunities, and may be based remotely on a case-by-case

Qualifications

  • Strong foundation in mathematics, physics, statistics, computer science, or engineering.
  • Proficiency in programming with R, Python, and/or other relevant programming languages.
  • Self-driven with a focus on high-quality work and attention to detail.
  • Creative problem-solving skills and the ability to discover new avenues of research.
  • Analytical mindset with experience solving complex problems.
  • Passion for hockey and data-driven decision-making.

Responsibilities

  • Assist in developing statistical models and quantitative analysis using hockey data to support player evaluation, development, and strategic decision-making.
  • Perform ad hoc research, data validation, and analysis for general Hockey Operations tasks.
  • Develop research questions and analyze data to identify insights that can support the Penguins.
  • Collaborate with Hockey Operations to create research inquiries delivering actionable insights.
  • Communicate complex findings to diverse audiences within Hockey Operations.

Skills

Mathematics
Physics
Statistics
Computer Science
Engineering
Data analysis
R
Python

Education

Undergraduate/Graduate student

Tools

R
Python

Job description

Pittsburgh Penguins offer a Hockey Research & Development Internship in Pittsburgh, PA, with remote consideration. You will engage with the Hockey Operations unit to analyze data and support decision-making through mathematics and computation.

Ideal candidates are rising juniors, seniors, or current graduate students with skills in math, statistics, and programming (R/Python). The internship runs up to 10 weeks with potential for future opportunities, and may be based remotely on a case-by-case

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