Data Scientist Assistant

Vinik Sports Group • Tampa, FL

2d • Remote

About The Position

The Part-Time Data Scientist Assistant supports the hockey analytics department by applying advanced data analysis to drive insights and inform decision‑making. 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 non‑technical audiences. As part of a collaborative, team‑based environment, this role contributes to scalable, impactful solutions while supporting an innovative, growth‑minded culture within the organization.

Requirements

• 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 physics‑based analyses
• Strong problem‑solving skills with a demonstrated desire for continuous learning and professional development
• Experience working in a collaborative, team‑based environment
• Strong ability to interpret data and communicate results effectively

Nice To Haves

• Knowledge of statistics and probability theory preferred
• Experience working with time‑series data and/or skeletal or player‑tracking data preferred
• Familiarity with machine learning concepts and practical applications preferred
• Experience with advanced statistical modeling techniques preferred
• Prior experience working with sports or hockey‑related data preferred

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 non‑technical stakeholders
• Collaborate effectively within a team‑based hockey analytics environment
• Contribute to impactful, scalable solutions in a growth‑minded and innovative culture
• Other duties as assigned

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level