Senior Data Scientist, City and Vehicle Tech

Lime

1d • Remote

About The Position

Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. Their mission is to build a future where transportation is shared, affordable and carbon-free, having powered over one billion rides with electric bikes and scooters. Named a 2025 Time 100 Most Influential Company, Lime is expanding and seeking a Data Scientist to join their data science and analytics (DS&A) team. The 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, the Data Scientist will collaborate with Product, Engineering, and cross-functional business teams to address challenges and opportunities within City & Vehicle Tech, including hardware pilots and responsible riding initiatives. The position involves establishing end-to-end analytical and modeling capabilities, encompassing instrumentation, experimentation, model development, validation, and deployment support, to drive data-driven decisions and enhance product experiences. Key strengths for this role include curiosity, ownership, and technical depth to operate independently and cross-functionally in a fast-paced environment. This is a remote position, requiring candidates to reside in the United States for effective team collaboration.

Requirements

• Bachelor’s degree in a quantitative field (e.g. engineering, sciences, math, statistics, computer science, or related discipline)
• 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

Nice To Haves

• advanced degree preferred

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

• Comprehensive Health & Wellness: A choice of medical, dental, and vision plans. We also provide company-paid life and disability insurance and company-funded mental health benefits.
• Financial & Retirement Planning: 401(k) plan with both pre-tax and Roth options, and access to a Health Savings Account (HSA) with a monthly company contribution.
• Family & Fertility Support: Paid parental leave for birthing and non-birthing parents, plus fertility and family-forming benefits.
• Paid Time Off: Unlimited vacation, paid leaves, and 10 company holidays.
• Unique Lime Perks: Complimentary use of Lime vehicles in participating cities, a monthly phone allowance, dedicated learning and development days, and access to perks including One Medical, Wellhub, and Headspace.

What This Job Offers

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