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Lime is the leading shared electric vehicle company on a mission to make transportation affordable, shareable, and carbon-free. It has achieved over 400 million rides across 250 cities worldwide, aiming to replace car trips and decrease carbon footprints. Recognized as an influential and significant brand, Lime marked its profitability in 2022, setting an industry precedent.
Decision-making at Lime is data-centric, touching all aspects from vehicle design to customer satisfaction, making Data Science & Analytics pivotal. The teams collaborate to enable informed decisions and enhance customer service through insights derived from data.
The team is searching for a highly motivated, analytically minded individual to partner with other departments and tackle critical business issues. This role involves deep dives into problems, devising scalable solutions, and leveraging quantitative skills to influence action through insights.
The prospective team member will work on optimizing revenue loss prevention, developing machine learning models against fraud, building analytical dashboards, and designing experiments to drive business efficiency. They will also be instrumental in applying production-grade code and enhancing the user experience while maintaining effective fraud prevention.
The ideal candidate will possess a quantitative degree and work experience in a tech or payments background, be a statistical and product expert, and have proficiency in programming languages like Python or R, and tools such as SQL. They should be communicative, strategic, impact-oriented, and skilled in building machine learning models with practical implications.
Experience with automation tools like Airflow and dbt, as well as knowledge of payment systems and fraud mitigation, will be advantageous.
The position offers a competitive salary range with the possibility of equity and benefits, based on the candidate's location, skills, and experience. In addition to the base salary, some roles may offer bonuses. At Lime, the community is made up of smart, caring, and talented individuals committed to making a significant impact.
This job offer was originally published on Jobicy
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This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
