Lime
Lime is a transportation company that provides electric scooters and bikes for urban mobility. Through its user-friendly app, customers can easily locate, unlock, and ride e-scooters and e-bikes for convenient travels within cities. Lime emphasizes safety, sustainability, and community engagement, positioning itself as a responsible choice for environmentally friendly commuting options.
Mobile Application • MAAS
Senior Data Scientist - Pricing
April 1
Lime
Lime is a transportation company that provides electric scooters and bikes for urban mobility. Through its user-friendly app, customers can easily locate, unlock, and ride e-scooters and e-bikes for convenient travels within cities. Lime emphasizes safety, sustainability, and community engagement, positioning itself as a responsible choice for environmentally friendly commuting options.
Mobile Application • MAAS
📋 Description
• Develop and optimize pricing models to balance revenue growth, profitability, and customer retention. • Assess price elasticity, demand patterns, and competitive positioning to inform pricing strategies. • Analyze experimental and observational data using A/B tests and causal inference methods to measure the effectiveness of pricing changes, discounts, and incentives; communicate findings to stakeholders and facilitate data-driven launch decisions. • Leverage machine learning and statistical techniques to build predictive models for customer behavior, churn risk, and promotional impact. • Translate complex data insights into actionable recommendations and build dashboards, reports, and self-serve analytics tools to empower teams with pricing and loyalty insights. • Stay ahead of industry trends and provide thought leadership on pricing strategies that align with company objectives.
🎯 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, with a focus on pricing, loyalty, or revenue optimization. • 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. • Strong understanding of predictive modeling, price elasticity estimation, and customer segmentation techniques. • Strong intuition for how pricing and loyalty strategies impact revenue, customer behavior, and long-term retention. • Strong communication skills with the ability to convey technical concepts to non-technical stakeholders.
🏖️ Benefits
• Annual performance bonus • Equity • Benefits may be provided as part of the compensation package
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