Senior Data Scientist - Rider Team

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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. Named a Time 100 Most Influential Company in 2021, Lime has powered 350+ million electric bike and scooter rides in 200+ cities on 5 continents, saving an estimated 75+ million car trips. Learn more about how we help the world #RideGreen at li.me!

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

What We Offer:

    • Opportunity to revolutionize transportation in cities around the world with the leader in urban mobility solutions.
    • Scale with a rapidly growing organization, with significant opportunity for growth.
    • Play a role in the transformation of urban mobility and sustainability.
    • Work with a team of successful, fun and motivated people.
    • Competitive salary and benefits.
The anticipated salary range for this position is $132,000 - $173,000. Equity and benefits may be provided as part of the compensation package, depending on the position offered. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's skills, experience and other qualifications as well as the candidate's location of residence. In addition to base salary, some roles may be eligible for a variable bonus based on a combination of company performance, employee performance, and management discretion.

#LI-Remote
#LI-AM1

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.