Senior Data Scientist, City and Vehicle Tech

Lime

1d • Remote

About The Position

Lime is seeking a Data Scientist to join their growing team. The Data Science and Analytics (DS&A) team aims to make Lime sustainable and more valuable by identifying opportunities, guiding decision-making, and enabling effective implementation and operations. In this role, you will collaborate with Product, Engineering, and cross-functional business teams to tackle challenges and opportunities within City & Vehicle Tech, including hardware pilots and responsible riding initiatives. You will establish end-to-end analytical and modeling capabilities, encompassing instrumentation, experimentation, model development, validation, and deployment support, to drive data-driven decision-making and enhance product experiences. Key attributes for this role include curiosity, ownership, and technical depth, enabling independent and cross-functional work in a fast-paced environment. This is a remote position, with a requirement for candidates residing in Canada to ensure effective collaboration.

Requirements

• 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

Responsibilities

• 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

Benefits

• Discretionary annual performance bonus opportunities
• Equity, subject to applicable plan terms and eligibility requirements

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees