Lead the development, validation, productionization, and iteration of machine learning models that support city and vehicle tech initiatives, including feature engineering, model selection, performance tuning, and integration into product and enforcement systems
Define and establish model and product performance metrics, building clear evaluation frameworks to assess live performance and guide data-driven decision-making
Own and contribute to the development of analytical data pipelines and instrumentation required to support modeling, experimentation, and reliable reporting
Design, lead, and support experimentation efforts, including product initiatives and pilot programs, to measure impact, validate performance, and deliver insights that inform broader product and business strategy
Manage complex, cross-functional initiatives from scoping through executive communication
Make business recommendations using effective presentation skills, conveying findings at multiple levels including executive leadership, managers, and peers

Bachelor’s degree in a quantitative field (e.g. engineering, sciences, math, statistics, computer science, or related discipline); advanced degree preferred
5+ years of experience in data science or machine learning roles
Strong proficiency in Python and SQL
Demonstrated experience building, validating, and iterating on machine learning models in production environments
Experience designing experiments and applying statistical methods to evaluate model and product performance
Ability to independently drive ambiguous, high-impact initiatives
Strong communication skills and the ability to translate complex modeling concepts into clear business recommendations

Senior Data Scientist – City and Vehicle Tech

Key skills