Application Data Scientist/Engineering

Objective for this entry-level position is to drive race-focused analysis that turns telemetry, timing & scoring, and simulation outputs into clear, decision-ready insights for Trackhouse Racing. In this role, responsible individual would design and execute season/event-specific studies, build reproducible pre-/post-race notebooks and concise dashboards/reports, and work with engineers and crew to frame questions and communicate findings. Apply existing tools and create new analytical methods and models—with clear uncertainty and validation—to inform setup choices, strategy calls, and continuous performance learning. We’re seeking passionate people who challenge conventions, go beyond the norm, and accelerate our success.

DUTIES, EXPECTATIONS and RESPONSIBILITIES:

• Contribute to warehouse/Lakehouse models (bronze/silver/gold) and deliver simple dashboards/notebooks for users
• Produce standard event reports and dashboards (stint summaries, lap-time deltas, fuel/stop history, caution summaries
• Maintain playbook notebooks for pre-race prep and post-race debriefs with reproducible, clearly communicated results
• Collaborate with senior analysts on basic predictive features/ML with guidance on uncertainty and validation
• Develop, refine, and execute new methods for data analysis
• Understanding of driver-specific characteristics  
• Translate engineer/crew questions into well-scoped tasks and communicate progress effectively
• Keep documentation current and help teammates adopt tools and best practices
• Ability to plan, prioritize, organize, meet deadlines, and multi-task.
  

QUALIFICATIONS

• BS in Engineering, Data Science, Statistics, or equivalent practical experience
• 0–2 years of experience (internships, co-ops, research, or projects count)
• Working proficiency in Python or SQL for data wrangling and analysis
• Familiarity with ETL concepts, basic testing, logging, and data quality checks
• Understanding of relational schemas and bronze/silver/gold data modeling fundamentals
• Basic visualization/reporting skills and clear, concise documentation
• Solid grasp of basic statistics and time-series concepts
• Strong communication, attention to detail, and a learning mindset
• Flexibility to support occasional evenings/weekends aligned to the race calendar
• Exposure to Azure/Databricks (or similar clouds), Spark, Docker, and simple CI/CD will be nice to have
• Intro ML for simple predictive features and model validation will be a plus
• Familiarity with motorsports data/telemetry; aero/tire knowledge is a plus
• Experience supporting time-pressured operations (sports, manufacturing, or live ops) will be a plus