Data Scientist, Sports Modeling (Coop) - W2025

6 days ago

🏢 In-office - Toronto

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theScore

Empowering the sports fan's experience

Sports Media • Mobile Apps • Sports Content • Digital Publishing • Technology

501 - 1000

Description

• Data Analysis: Assist in analyzing sports data to inform product development and features. • Model Building: Help build and test predictive models for forecasting sports outcomes. • Support Pipeline Development: Work with data and infrastructure engineers on pipeline development. • Research & Documentation: Conduct research and maintain documentation for data science projects. • Collaboration: Collaborate with team members to solve problems and share techniques. • Communication: Clearly communicate findings and insights with team members.

Requirements

• Coding Skills: Moderate proficiency in Python and SQL. • Data Skills: Able to handle data wrangling skills around JSON and tabular data. • Analytical Skills: Strong problem-solving skills with an interest in sports data. • Team Player: Ability to work collaboratively in a team environment. • Eager to Learn: Enthusiastic about learning new techniques and technologies in data science. • Nice to Have • Familiarity with Machine Learning: Familiarity with machine learning concepts and techniques. • Experience with Sports Data: Any experience or coursework related to sports data analysis (specifically for NFL) • Cloud Knowledge: Familiarity with cloud services like AWS or GCP. • Version Control: Basic knowledge of version control systems like GitHub.

Benefits

• Fun, relaxed work environment • A voice. We're dedicated to open communication which empowers our employees to drive the company's culture • A company that encourages a culture of inclusion and diversity • Opportunity to work on large-scale consumer-facing applications with millions of users

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