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Data Scientist

Smith Arnold Partners
Department:Data Analysis
Type:REMOTE
Region:Washington, D.C
Location:Washington DC-Baltimore Area
Experience:Mid-Senior level
Salary:$70,000 - $80,000
Skills:
PYTHONPANDASPOLARSNUMPYSQLSTATISTICAL ANALYSISDATA VISUALIZATIONPREDICTIVE MODELINGEXPLORATORY DATA ANALYSISDATA INTEGRITY
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Job Description

Posted on: December 20, 2025

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 ScientistLocation: RemoteSalary: $70,000 - $80,000

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
  • Build predictive models utilizing insights from client and sport knowledge

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

Originally posted on LinkedIn

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