Junior Data Scientist: AI-Driven Analytics & Modeling

NASCAR Event Management, LLC.; Daytona Beach (FL); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive wellness benefits

Growth and development opportunities

Job summary

NASCAR Event Management, LLC. is seeking a Junior Data Scientist based in Daytona Beach, Florida. You will transform data into actionable insights, support predictive modeling, and enhance AI-enabled analytics tools across the organization.

Responsibilities include data prep with SQL/Python, model evaluation, and collaboration with business partners to deliver practical analytical solutions. Travel up to 10% during the race season and ongoing stakeholder communication are expected.

Qualifications

• Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field, or equivalent experience.
• Foundational SQL skills (joins, aggregations, CTEs) and Python for data prep and analysis.
• Understanding of core statistical concepts and basic ML methods; able to evaluate models.
• Foundational understanding of generative AI capabilities and limitations; willingness to learn MCP.
• Strong analytical, organizational, and communication skills; able to explain findings in business terms.

Responsibilities

• Prepare, combine, and analyze data using SQL and Python; document data definitions.
• Support predictive modeling; forecast outcomes and evaluate business performance.
• Help develop AI-enabled analytics tools and MCP integrations.
• Test tools and AI outputs against trusted SQL queries and reports; improve logic.
• Collaborate with partners to translate questions into analyses and visualizations.

Skills

SQL

Python

Statistics

Machine learning basics

Generative AI

Education

Data Science / Statistics / Mathematics / CS / Economics degree

Tools

MCP integrations

Job description

NASCAR Event Management, LLC. is seeking a Junior Data Scientist based in Daytona Beach, Florida. You will transform data into actionable insights, support predictive modeling, and enhance AI-enabled analytics tools across the organization.

Responsibilities include data prep with SQL/Python, model evaluation, and collaboration with business partners to deliver practical analytical solutions. Travel up to 10% during the race season and ongoing stakeholder communication are expected.