Data Scientist at Torentify
Job Description
\# Sports Data Scientist
\#\# About the Role
**Our client is seeking a \*\*Sports Data Scientist\*\* to support NCAA collegiate programs with data-driven insights, particularly in the football, baseball, and basketball transfer portal. This role combines statistical data analysis, predictive modeling, data visualization, and deep sports knowledge to help clients evaluate transfer opportunities and make informed decisions.**
**The ideal candidate has a strong foundation in data science and analytics, proficiency in \*\*Python and SQL\*\*, experience creating programmatic data visualizations, and the ability to communicate complex analytical concepts to nontechnical audiences. A strong interest in sports analytics and curiosity to challenge traditional assumptions about sports are important for success in this role.**
\#\# Key Responsibilities
**\* Build predictive models using client data, analytical insights, and sports knowledge.**
**\* Conduct exploratory data analysis to identify data-driven insights related to the collegiate transfer portal.**
**\* Provide analytical support and actionable insights to collegiate programs.**
**\* Answer ad-hoc questions related to transfer targeting.**
**\* Analyze data to support decision-making across NCAA football, baseball, and basketball programs.**
**\* Ensure data integrity and accuracy across multiple data sources.**
**\* Prepare accurate and timely reports.**
**\* Communicate analytical findings and complex data concepts to nontechnical audiences.**
\#\# Required Qualifications
**\* Bachelor’s degree in \*\*Statistics, Computer Science, Data Science, or a related field\*\*.**
**\* Programming experience.**
**\* Proficiency with \*\*Python\*\*, including \*\*pandas, Polars, and NumPy\*\*.**
**\* Proficiency with \*\*SQL\*\*.**
**\* Experience generating data visualizations programmatically.**
**\* Deep understanding of sports.**
**\* Strong communication skills with the ability to explain complex data concepts to nontechnical audiences.**
**\* Strong self-motivation and curiosity.**
**\* Attention to detail and commitment to accurate, timely reporting.**
\#\# Preferred Qualifications
**\* Experience playing or working with \*\*college football, baseball, or basketball teams\*\*.**
\#\# Skills & Competencies
**\* Sports analytics**
**\* Statistical data analysis**
**\* Predictive modeling**
**\* Exploratory data analysis**
**\* Data visualization**
**\* Python**
**\* pandas**
**\* Polars**
**\* NumPy**
**\* SQL**
**\* Data integrity and accuracy**
**\* Transfer portal analysis**
**\* Programming**
**\* Sports knowledge**
**\* Communication and data storytelling**
**\* Problem-solving**
**\* Self-motivation**
**\* Curiosity**
**\* Attention to detail**
**\* Ability to communicate with nontechnical audiences**
\#\# Education & Experience
**\*\*Education:\*\***
**\* Bachelor’s degree in Statistics, Computer Science, Data Science, or a related field.**
**\*\*Experience:\*\***
**\* Programming experience.**
**\* Experience with Python, including pandas, Polars, and NumPy.**
**\* Experience with SQL.**
**\* Experience generating data visualizations programmatically.**
**\* Experience in college football, baseball, or basketball is preferred but not required.**
\#\# Work Arrangement & Schedule
**\* \*\*Work Arrangement:\*\* Remote**
**\* \*\*Employment Type:\*\* Full-time**
**\* \*\*Seniority Level:\*\* Mid-Senior level**
**\* \*\*Job Function:\*\* Information Technology**
**\* The source job description does not specify weekly hours, working days, or required schedule flexibility.**
\#\# Compensation & Benefits
**\*\*Base Pay Range:\*\* $70,000–$80,000 per year**
Final compensation will be based on skills and experience.
The source job description references employee feedback describing:
**\* Casual and collaborative environment**
**\* Work-life balance**
**\* Company culture focused on supporting employees**
These statements are presented as employee testimonials rather than specified benefits.
\#\# Compliance / Additional Information
**\*\*Industries:\*\* Business Consulting and Services; Sports Teams and Clubs**
**The company operates in the \*\*sports data science and analytics\*\* space and works with NCAA programs using data science and analytics to evaluate player value and fit within the evolving transfer portal. Its stated business model includes providing financial support and career resources to individuals early in their professional journey in exchange for a share of future earnings over a defined period.**