echojobs.io
Login

Lime

Senior Data Scientist - Payments and Fraud/Trust

Remote Canada
USD 139k - 139k
Machine Learning Python R SQL Spark
Search for More Jobs Talk to a recruiter now 💪
This job is closed! Check out or
Description
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. Our electric bikes and scooters have powered 400+ million rides in 250+ cities on 5 continents, replacing an estimated 100+ million car trips. Named a Time 100 Most Influential Company and Fast Company Brand That Matters, we achieved a fully profitable year in 2022, becoming the first in our industry to reach this milestone.

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.

What you'll do:

  • Collaborate with Product, Engineering, Operations and Finance to optimize the revenue loss due to fraud, abuse (promotions, referrals, refunds etc.) and carry out deeper analysis to optimize the payments process (fee, latency, payment service provider waterfall etc.)
  • Develop machine learning models and rules to detect fraud and abuse
  • Carry out deeper analysis, build dashboards to track key metrics 
  • Develop instrumentation to track progress against key business objectives
  • Design, instrument, and analyze experiments to quantify the impact of product and operation changes and  produce reliable insights that drive business efficiency
  • Develop production-ready code and/or partner with engineering to deploy models/rules in the production environment
  • Contribute to fraud and abuse related incident response
  • Optimize the tradeoff between fraud and abuse prevention vs good user experience

About you:

  • A PhD or MS in a quantitative field (e.g., Operations Research, Economics, Statistics, Sciences, Engineering)
  • 5+ years of full-time work experience as a Data Analyst / Data Scientist at a technology or payments company
  • A highly skilled professional with expertise in product knowledge and intuition, ideally applied in consumer product development settings.
  • A statistical expert with strong statistical knowledge and intuition, ideally applied in experimentation and observational causal studies settings.
  • Proficient in quantitative programming languages, such as Python or R.
  • Skilled in SQL and familiar with distributed data stores like S3, Presto, Hive, and Spark.
  • Highly effective in engaging with diverse stakeholders and adept at cultivating strong partnerships.
  • Excellent with communication, conveying technical content to non-technical audiences, and collaborating across different functions to ensure real business impact.
  • Strategic-minded, impact-driven, and able to incorporate a larger business context into data questions and product development.
  • Experienced in building real-world machine learning models with demonstrated impact
  • Adept in Data Processing; performing essential data preprocessing tasks, applying data transformation, normalization, and feature engineering to prepare datasets for analysis.

    • Preferred Qualifications:
  • Experience with tools like Airflow and dbt to contribute to the creation and optimization of data pipelines, aiming to automate and improve data flow within the organization.
  • Prior knowledge/experience on payments and fraud mitigation

The anticipated salary range for this position is CA$ 86,000  to CA$139,000. 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-HS1

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 equity
Health and wellness offerings for all team members starting day one including access to top-tier fitness and mindfulness apps
Flexible vacation policies with ample paid holidays tailored to country of residence
Fully-paid leave following the birth or adoption of a child and financial, medical and educational support for Limers pursuing parenthood
Support for retirement and financial goals with unlimited access to financial advisors
Unlimited, complimentary use of our vehicles in hundreds of cities around the world
Professional growth opportunities through quarterly learning days and top-tier tools
Opportunities to connect across teams and locations to network, socialize and volunteer
Culture of belonging with Employee Resource Groups that engage and promote cultural awareness and DEI training across all functions
Consistent 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. 
Lime
Lime
Last Mile Transportation Mobile Apps Ride Sharing Transportation

0 applies

70 views

Jobs from our Partners

Other Jobs from Lime

Similar Jobs

Software Engineer II

Hyderabad, India

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

50,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 232 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

Cancel anytime / Money-back guarantee

Wall of love from fellow engineers