Junior Data Scientist: AI-Driven Analytics & Modeling

NASCAR; Florida; On-site; USD 65,000 - 90,000; Full time

Job summary

NASCAR in Daytona Beach, Florida is seeking a Junior Data Scientist to transform data into actionable insights and drive business decisions across the organization. You will analyze data using SQL and Python, support predictive modeling, and help develop AI-enabled analytics tools.

You will collaborate with data engineering and BI colleagues, validate AI outputs, and translate business questions into practical analyses, visualizations, and tools. Up to 10% travel during race season.

Qualifications

• Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field, or an equivalent combination of education and practical experience.
• Foundational SQL skills and Python for data preparation and analysis.
• Understanding of core statistical concepts and familiarity with basic machine learning methods and model evaluation.
• Foundational understanding of generative AI’s capabilities and limitations, and willingness to learn MCP and tool calling.

Responsibilities

• Prepare, combine, and analyze data using SQL and Python, investigating data quality issues and documenting business definitions.
• Apply statistical methods and support predictive modeling to understand fan behavior, forecast outcomes, and evaluate business performance.
• Help develop, maintain, and enhance AI-enabled analytics tools, including Python-based tools and MCP integrations.
• Test analytical tools and AI-generated outputs against trusted SQL queries and reports; investigate errors and improve underlying logic.

Skills

SQL

Python

Statistics

Machine learning basics

Generative AI

Communication

Education

Degree in Data Science or related field

Tools

MCP integrations

AI-enabled analytics tools

Job description

NASCAR in Daytona Beach, Florida is seeking a Junior Data Scientist to transform data into actionable insights and drive business decisions across the organization. You will analyze data using SQL and Python, support predictive modeling, and help develop AI-enabled analytics tools.

You will collaborate with data engineering and BI colleagues, validate AI outputs, and translate business questions into practical analyses, visualizations, and tools. Up to 10% travel during race season.