Data Scientist
$70k - $80kSmith Arnold Partners, LLC
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
Direct message the job poster from Smith Arnold Partners
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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