Data Scientist Assistant

Compensation: $15 per hour Tentative Start Date: September 1, 2026 Time Commitment: 2026-2027 NHL Season - Approximately 20/25 hours per week Job Summary The Part-Time Data Scientist Assistant supports the hockey analytics department by applying advanced data analysis to drive insights and inform decisionmaking. The position works closely with hockey data to execute assigned analytical initiatives, develop new projects, and translate complex findings into clear, actionable insights for both technical and nontechnical audiences. As part of a collaborative, teambased environment, this role contributes to scalable, impactful solutions while supporting an innovative, growthminded culture within the organization. Essential Duties & Responsibilities Work with hockey data to fulfill assigned analytical directives and contribute to ongoing projects Design, develop, and execute new analytics projects that generate actionable insights Analyze data using geometric, physical, and statistical concepts relevant to hockey performance Interpret analytical results and clearly communicate findings to technical and nontechnical stakeholders Collaborate effectively within a teambased hockey analytics environment Contribute to impactful, scalable solutions in a growthminded and innovative culture Other duties as assigned Qualifications Degree or academic background in Computer Science, Mathematics, Engineering, Physics, or a related field 2-3 years of experience writing modern Python code Experience working with SQL databases Familiarity with Git or other version control systems Ability to perform geometric and physicsbased analyses Strong problemsolving skills with a demonstrated desire for continuous learning and professional development Experience working in a collaborative, teambased environment Strong ability to interpret data and communicate results effectively Knowledge of statistics and probability theory preferred Experience working with timeseries data and/or skeletal or playertracking data preferred Familiarity with machine learning concepts and practical applications preferred Experience with advanced statistical modeling techniques preferred Prior experience working with sports or hockeyrelated data preferred Working Conditions Ability to work extended hours including late nights, holidays, and weekends as needed This role is eligible for remote work We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.