Data Science Manager, Lime
Supply
$186-255k
+ Offers equity + Offers bonus. Canada salary range: $114,000 - $156,00 (CAD)
Electric bike and scooter rentals
Be an early applicant
Electric bike and scooter rentals
1001+ employees
Be an early applicant
$186-255k
+ Offers equity + Offers bonus. Canada salary range: $114,000 - $156,00 (CAD)
1001+ employees
Company mission
To build a future where transportation is shared, affordable and carbon-free.
Role
Who you are
- The ideal candidate is a strong technical leader with experience in machine learning, causal inference, and optimization, who thrives in a fast-paced, cross-functional environment
- 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
Desirable
- 3+ years of leadership experience
- Experience with spatial-temporal demand forecasting, routing problems, or supply chain optimization
- Experience in building data pipelines, automating workflows, and working with ML infrastructure (e.g., SageMaker, Airflow, DBT)
What the job involves
- Lime is seeking a Data Science Manager to lead the Data Science and Analytics - Supply team in enhancing vehicle positioning, demand forecasting, and fleet health
- This role will drive data science initiatives that optimize vehicle supply, rider experience, and operational efficiency through machine learning, optimization, and experimentation
- As a key leader, you will work cross-functionally with Product, Engineering, and Operations, ensuring Lime's fleet is positioned where and when riders need it most
- Your team will play a central role in Lime’s fleet intelligence and operational strategies, focusing on demand forecasting, labor optimization, vehicle positioning, and hardware innovation
- 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
Application process
- Use of artificial intelligence or an LLM such as ChatGPT during the interview process will be grounds for rejection of your application
Our take
In recent years, electric-powered mobility companies have attracted an extraordinary amount of interest and funding, in part due to rising eco-friendly sentiment, and in part because of the race to "find the next Uber". Lime is one such company, that has rapidly scaled across multiple geographies to be a key player in the fight for market leadership.
Lime, along with its competitors, has had to grapple with regulation in many of its target markets, but nonetheless has steadily increased its footprint. Since its launch, the company has facilitated millions of trips, making it one of the biggest companies of its kind. Interestingly, the CEO has stated that "cars are our true business rivals—not other scooter companies", suggesting that its biggest business challenge will be to get families to give up their second cars.
With a presence that spans an impressive number of regions - most recently Lime has begun operating in Qatar - the company has cemented itself in the micromobility market, and stands to profit from the increasing popularity of these types of services. Across 2022, a substantial increase in ridership enabled Lime to achieve a "full profitable year", with suggestions it will pursue an IPO in the near future.
Freddie
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Nov 2021
$523m
CONVERTIBLE
May 2020
$170m
SERIES E
Total funding: $1.5bn
Company HQ
The East Cut, San Francisco, CA
Leadership
Toby
(Board Advisor)Founder and CEO of ZERO&. Was a Marketing Manager at Pepsi for 6 years before doing an MBA at Berkeley. Moved into consulting and VC for 5 years before starting Lime.
Brad
(Chairman)VP of Business Development at Tencent for 8 years. Managing Partner of a VC firm for 3 years, where he worked with Toby. Has an MBA from Berkeley.
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