About the role
Who you are
- MS or PhD in Statistics, Economics, Computer Science, Applied Mathematics, Operations Research, or a related quantitative field
- 5+ years of industry experience as a Data Scientist, ideally in product analytics, growth, or consumer-facing platforms
- Deep understanding of probability and statistics, including causal inference and experimental design
- Proficiency in SQL and Python, with end-to-end experience with data—including querying, data manipulation, aggregation, analysis, visualization , and model deployment
- Machine Learning & Modeling: Strong understanding of predictive modeling, price elasticity estimation, and customer segmentation techniques
- Business Acumen: Business intuition for how retention and loyalty levers impact user growth and long-term value
- Strong communication skills with the ability to convey technical concepts to non-technical stakeholders
What the job involves
- As a Senior Data Scientist on Lime’s Rider DSA team, you will play a critical role in helping us understand our riders and uncover the drivers of retention. You’ll focus on experimentation, product analytics, and data deep-dives that surface actionable insights for product and business teams.
- Partnering with Product, Engineering, and Operations, you’ll help shape strategy on initiatives like early-funnel adoption, second-month retention, and loyalty programs—turning data into measurable impact across Lime
- Design, run, and analyze experiments to optimize rider experience and improve retention outcomes
- Define project goals, success metrics, and measurement frameworks to ensure clarity and alignment across initiatives
- Deliver data-driven solutions by translating complex analyses into clear, actionable recommendations in compelling ways that influence strategy and roadmap decisions
- Partner with Product and other teams to evaluate and refine retention-focused initiatives such as onboarding flows, memberships, and loyalty programs
- Conduct deep-dive analyses to identify patterns, diagnose problems, and inform strategic decisions around rider engagement
- Identify key “aha” moments that predict long-term retention and quantify their impact on rider behavior
About Lime
Software Development
1001-5000
Lime is the world's largest shared electric vehicle company. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered 400+ million rides in 250+ cities on 5 continents, replacing an estimated 100+ million car trips. Named a Time 100 Most Influential Company and Fast Company Brand That Matters, we achieved a fully profitable year in 2022, becoming the first in our industry to reach this milestone.
About the role
Who you are
- MS or PhD in Statistics, Economics, Computer Science, Applied Mathematics, Operations Research, or a related quantitative field
- 5+ years of industry experience as a Data Scientist, ideally in product analytics, growth, or consumer-facing platforms
- Deep understanding of probability and statistics, including causal inference and experimental design
- Proficiency in SQL and Python, with end-to-end experience with data—including querying, data manipulation, aggregation, analysis, visualization , and model deployment
- Machine Learning & Modeling: Strong understanding of predictive modeling, price elasticity estimation, and customer segmentation techniques
- Business Acumen: Business intuition for how retention and loyalty levers impact user growth and long-term value
- Strong communication skills with the ability to convey technical concepts to non-technical stakeholders
What the job involves
- As a Senior Data Scientist on Lime’s Rider DSA team, you will play a critical role in helping us understand our riders and uncover the drivers of retention. You’ll focus on experimentation, product analytics, and data deep-dives that surface actionable insights for product and business teams.
- Partnering with Product, Engineering, and Operations, you’ll help shape strategy on initiatives like early-funnel adoption, second-month retention, and loyalty programs—turning data into measurable impact across Lime
- Design, run, and analyze experiments to optimize rider experience and improve retention outcomes
- Define project goals, success metrics, and measurement frameworks to ensure clarity and alignment across initiatives
- Deliver data-driven solutions by translating complex analyses into clear, actionable recommendations in compelling ways that influence strategy and roadmap decisions
- Partner with Product and other teams to evaluate and refine retention-focused initiatives such as onboarding flows, memberships, and loyalty programs
- Conduct deep-dive analyses to identify patterns, diagnose problems, and inform strategic decisions around rider engagement
- Identify key “aha” moments that predict long-term retention and quantify their impact on rider behavior
About Lime
Software Development
1001-5000
Lime is the world's largest shared electric vehicle company. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered 400+ million rides in 250+ cities on 5 continents, replacing an estimated 100+ million car trips. Named a Time 100 Most Influential Company and Fast Company Brand That Matters, we achieved a fully profitable year in 2022, becoming the first in our industry to reach this milestone.