Data Scientist

Smith Arnold Partners provided pay range

This range is provided by Smith Arnold Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70,000.00/yr - $80,000.00/yr

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Technical Recruiter - Putting People Back in the Process

The company operates in the sports data science and analytics space, focusing on long-term partnerships with emerging professional talent. Its core model provides financial support and career resources to individuals early in their professional journey, in exchange for a share of future earnings over a defined period. They also work with many well-known NCAA programs utilizing data science and analytics to evaluate player value and fit in the new and evolving transfer portal.

Employee testimonials:

• Casual yet collaborative environment with a great work/life balance.
• Company is revolutionizing the use of data science in the sports industry!
• Culture that truly values and supports its employees.

Title: Sports Data Scientist

Location: Remote

Our client is seeking a Sports Data Scientist to help us add value to their NCAA basketball clients.

This position is an exciting opportunity to leverage data analysis to provide actionable insights, support decision-making within the NCAA collegiate football, baseball and basketball transfer portal. The ideal candidate will have a passion for sports analytics, specifically in football, baseball or basketball, a strong foundation in statistical data analysis and data visualization, along with deep sports knowledge.

Key Responsibilities

• Build predictive models utilizing insights from client and sport knowledge
• Conduct exploratory data analysis to identify data-driven insights on the transfer portal to collegiate programs
• Answer ad-hoc questions regarding transfer targeting
• Ensure data integrity and accuracy across several data sources

Qualifications

• Bachelor’s degree in Statistics, Computer Science, Data Science, or a related field
• Programming experience
• Proficiency with Python (pandas, polars, numpy) and SQL
• Experience generating data visualizations programmatically
• Deep Understanding of sports
• Strong communication skills and ability to convey complex data concepts to nontechnical audiences
• Strong self-motivation and curiosity to challenge traditional sports beliefs
• Attention to detail for accurate and timely report delivery

Preferred Qualifications:

Experience playing or working with college football, baseball or basketball teams

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries: Business Consulting and Services and Sports Teams and Clubs

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