Data Science Manager - Supply

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April 5

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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

• Lead and mentor a team of data scientists, providing technical guidance and career development support. • Own the data science roadmap for supply, focusing on demand forecasting, positioning system optimization, fleet health, and hardware innovations. • Partner with Product, Engineering, and Operations teams to design and test data-driven deployment and labor pricing strategies. • Develop and deploy machine learning and optimization models to enhance vehicle positioning, routing, and operational efficiency. • Define and track key performance metrics, including vehicle positioning success, labor efficiency, and hardware competitiveness. • Oversee A/B testing and causal inference analyses to refine and validate supply-side optimizations. • Advocate for a data-driven culture, ensuring insights are effectively communicated to stakeholders, including senior leadership.

🎯 Requirements

• 5+ years of industry experience in data science, with at least 1+ year of leadership experience (managing or mentoring data scientists). • MS or PhD in Statistics, Applied Mathematics, Computer Science, Operations Research, or a related field. • Experience leading complex, cross-functional projects, and collaborating with engineering, operations, and product teams. • Ability to translate complex data science concepts into actionable business insights for both technical and non-technical stakeholders. • Deep expertise in forecasting, optimization, and machine learning • Strong proficiency in SQL and Python, with experience in data analysis, machine learning, and automation. • Strong experimentation skills – experience in A/B testing, causal inference, and experimental design to inform product and operational decisions.

🏖️ Benefits

• Offers Equity • Offers Bonus • Multiple Ranges