Senior Data Scientist, Lime
Payments & Fraud
$150-207k
+ Offers Equity & Bonus. Canada Tier: CA$107K – CA$147K
Electric bike and scooter rentals
Be an early applicant
Electric bike and scooter rentals
1001+ employees
Be an early applicant
$150-207k
+ Offers Equity & Bonus. Canada Tier: CA$107K – CA$147K
1001+ employees
Company mission
To build a future where transportation is shared, affordable and carbon-free.
Role
Who you are
- 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 payments, fraud detection, risk mitigation, or user trust
- 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
- Machine Learning & Modeling: Strong understanding of predictive modeling, price elasticity estimation, and customer segmentation techniques
- Business Acumen: 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
What the job involves
- As a Senior Data Scientist specializing in Payments & Fraud, you will play a pivotal role in reducing revenue leakage, safeguarding platform integrity, and optimizing the user payment experience
- You will leverage data science, experimentation, and machine learning to detect and prevent fraud and abuse, streamline payment flows, and evaluate the effectiveness of risk mitigation strategies
- Partnering closely with Product, Engineering, Operations, and Finance teams, you will provide the insights and tools needed to make informed decisions, balance fraud prevention with user experience, and drive business efficiency
- This role combines analytical rigor with strong business acumen to deliver measurable impact across Lime’s payments ecosystem
- Design and evaluate strategies to reduce fraud and abuse across promotions, referrals, refunds, and payment flows
- Develop and improve machine learning models, rules-based systems, and heuristics to detect high-risk behavior while minimizing false positives
- Analyze experimental and observational data using A/B testing and causal inference to measure the effectiveness of interventions in payments and fraud prevention
- Identify and quantify key friction points in the payments funnel (e.g., latency, failure rates, PSP routing), and partner with Engineering to improve reliability and speed
- Build dashboards, reports, and self-serve tools to empower teams with visibility into fraud trends, payment performance, uncollected revenue, and risk tradeoffs
- Collaborate on incident response and root cause analyses for fraud and abuse events, ensuring rapid mitigation and long-term prevention
- Stay informed on evolving fraud tactics, risk mitigation techniques, and payment technologies to proactively shape Lime’s strategy
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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