Position Details
About this role
This role involves leading the development and deployment of advanced analytics and machine learning solutions to enhance racing performance and decision-making in motorsports programs.
Key Responsibilities
- Define analytics roadmap
- Architect ML solutions
- Lead model deployment
- Monitor model performance
- Mentor data scientists
Technical Overview
The technical scope includes ML model development, data ingestion, feature engineering, deployment, and monitoring, primarily using Python and ML Ops tools in a hybrid environment.
Ideal Candidate
The ideal candidate is a senior data scientist with expertise in machine learning, data engineering, and analytics deployment, with strong leadership and mentorship skills, capable of driving advanced analytics initiatives in a motorsports environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
No experience with ML deployment or monitoring, Lack of leadership or mentorship experience, No background in analytics or data science, Unwillingness to work in hybrid environment
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