Senior Data Scientist

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August 22

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Lime

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Transport • eCommerce • SaaS

Lime is a transportation company that provides shared electric scooters and bikes in urban areas, making it easy for users to travel short distances. With a focus on safety, sustainability, and community, Lime aims to offer an eco-friendly alternative to traditional transportation methods. Users can easily locate and rent vehicles through the Lime app, promoting responsible riding and parking practices to enhance the urban mobility experience.

501 - 1000 employees

Founded 2017

🚗 Transport

🛍️ eCommerce

☁️ SaaS

💰 $418M Convertible Note on 2021-11

📋 Description

• Lime is the world's largest shared electric vehicle company focused on shared, affordable, carbon-free transportation. • 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 that influence strategy and roadmap decisions. • Partner with Product, Engineering, and Operations 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Annual performance bonus, equity and benefits may be provided as part of the compensation package, depending on the position offered.