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Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered more than one billion rides in cities around the world. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally, spurring a new generation of clean alternatives to car ownership.
We are looking for a Data Scientist to join our growing team as we enter a new phase of expansion. The data science and analytics (DS&A) team’s mission is to make Lime sustainable and more valuable, by identifying and steering the business towards opportunities, guiding the organization to make the best possible decisions, and enabling effective implementation and operations.
In this role, you will work with Product, Engineering, and cross-functional business teams to address challenges and opportunities across City & Vehicle Tech, including hardware pilots and responsible riding initiatives. You’ll set up end-to-end analytical and modeling capabilities (instrumentation, experimentation, model development, validation, and deployment support) that will feed our data-driven decision-making and power product experiences.
Key strengths of this role include curiosity, ownership, and technical depth to operate independently and cross functionally in a fast-paced environment.
This is a remote position with a requirement for candidates residing in Canada to maintain effective collaboration across teams.
What You'll Do:
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
About You:
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
The base salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by objective factors such as the candidate’s location and relevant skills and experience. Depending on the position, the total compensation package may also include discretionary annual performance bonus opportunities and equity, subject to applicable plan terms and eligibility requirements.
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If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page.
Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email [email protected] for assistance.
