At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features.

The Verticals team encompasses 3 critical and unique products / marketplaces within Lyft: airports, scheduled rides, and events.  Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experiences and have unique considerations and dynamics. Scheduled rides allow riders to book a ride in advance with high reliability, and enable drivers to add structure to their work schedule. Lastly, events such as concerts or sporting games require similar considerations of special operations to ensure a seamless experience for both riders and drivers. 

As a Data Scientist on the Verticals team, you will collaborate with engineering, product, design, and operations to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as:

Are we able to forecast ride demand and implement driver guidance to ensure riders can rely on Lyft for an airport ride at all times of the day?  How can we use these ride predictions to adjust ride offerings available at airports and for scheduled rides? How can we develop a technical model to predict ride wait times and communicate this to drivers?  What is the most helpful way to display ride information to drivers so they can make informed decisions? What rider segments should we target with ride incentives to grow our marketshare for these verticals?  Responsibilities Leverage data and analytic frameworks to identify opportunities for growth and efficiency, recommending technical solutions to drive business impact  Construct and fit statistical or machine learning models to make production decisions such as changes to ride offerings; focusing on model proposal and offline model development  Design and analyze online experiments; communicate results and act on launch decisions Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action Develop analytical frameworks to monitor business and product performance, leveraging experiments and causal inference Establish metrics that measure the health of our products, the business, as well as the driver experience Experience  Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience 3+ years of industry experience in a data science, analytics, or management consulting role.   Ability to develop machine learning models, focusing on offline development and feature engineering, to drive business impact End-to-end experience with data, including querying, aggregation, analysis, and visualization Ability to manage, influence, negotiate, and inspire others in a fast-moving environment Proficiency in SQL and Python Strong oral and written communication skills, and ability to collaborate with cross-functional partners Benefits Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family building benefits Access to a Health Care Savings Account In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service  4 Floating Holidays each calendar year prorated based off of date of hire 10 paid sick days per year regardless of province 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy.  Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.  Please contact your recruiter now if you wish to make such a request.

This role will be in-office on a hybrid schedule following the establishment of a Lyft office in Toronto — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid