Senior Data Scientist - Rider Team
United States
Lime
Go car-free with the world’s largest shared electric vehicle company. Lime is on a mission to build a future where transportation is shared, affordable…Data is at the core of every decision at Lime - from designing vehicles to deploying them, enhancing the user’s experience, optimizing our supply chain or warehouse operations. Every team at Lime engages with Data Science & Analytics. Doing our job well means that we enable the entire organization’s ability to make more informed decisions, innovate faster, and serve our customers better.
We are looking for an intellectually curious, highly motivated individual to join our Data Science & Analytics team. You will partner with our Engineering, Product, and Operations teams to identify critical issues to the business, develop a deep understanding of them, and design scalable solutions. You will leverage your quantitative and modeling skills to transform signals into insights, and insights into actions. You should have strong analytical insights, excellent communication abilities, and a knack for working across teams in a fast-paced environment.
This position is a US based remote position. The individual hired into this role must be comfortable supporting multiple time zones across the globe with primary support to Pacific Time.
What You'll Do:
- Build models that help us understand our ridership better - such as user segmentation and LTV prediction.
- Design, instrument, and and measure the success of product lead experiments that help drive business growth.
- Deep dive into our data, create intuitive visualizations, root cause problems, and present actionable insights to a variety of stakeholders.
- Share your knowledge across the company by mentoring others and leveling up our collective technical expertise
About You:
- MS or PhD in Economics, Statistics, Applied Mathematics, or other quantitative fields
- 3+ years of industry experience as a Data Scientist
- Proficient in SQL and a programming language such as Python
- Hands-on experience with data pipelines and visualization tools
- Deep and practical understanding of probability and statistics, including causal inference
- Solid understanding of Machine Learning algorithms - practical experience building ML models preferred
- Ability to communicate technical concepts to a general audience
- Strong communication skills with a consistent record of collaborating across a wide variety of teams and disciplines in a dynamic environment
#LI-Remote#LI-AM1
Why Lime? When you join Lime, you join a global community of smart, caring, talented individuals working together to deliver world-changing results; striving to create an experience that enables Limers to do their best work. Here are some ways we support and invest in our team:
Competitive salaries, performance-based annual bonus and pre-IPO equityHealth and wellness offerings for all team members starting day one including access to top-tier fitness and mindfulness appsFlexible vacation policies with ample paid holidays tailored to country of residenceFully-paid leave following the birth or adoption of a child and financial, medical and educational support for Limers pursuing parenthoodSupport for retirement and financial goals with unlimited access to financial advisorsUnlimited, complimentary use of our vehicles in hundreds of cities around the worldProfessional growth opportunities through quarterly learning days and top-tier toolsOpportunities to connect across teams and locations to network, socialize and volunteerCulture of belonging with Employee Resource Groups that engage and promote cultural awareness and DEI training across all functionsConsistent recognition of great work through meaningful rewards and career advancements
Benefits and perks vary depending on the nature of your employment and country of residence. Terms and conditions may apply.
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 an Equal Opportunity Employer, but that’s just the start. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to hiring and developing the most talented and globally diverse team – which includes individuals with different backgrounds, abilities, identities and experiences.
Tags: Causal inference Data pipelines Economics Engineering Machine Learning Mathematics ML models PhD Pipelines Python SQL Statistics
Perks/benefits: Career development Competitive pay Equity Medical leave Salary bonus Startup environment Unlimited paid time off Wellness
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