Data Scientist, Algorithms - Rider Segments

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. As a member of the Rider Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems, ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing. 

　　We are looking for a Data Scientist - Algorithms with chops in Economics, Statistics, or other quantitative fields to join the Rider Segments team. In it, you will leverage data, analytical thinking, and rigorous machine learning and causal modeling to bring to life zero-to-one products tailored to our most impactful and strategic rider segments and their use cases. We're looking for execution-oriented scientists who are passionate about solving challenging problems with data and mathematical models, and are excited about working in a fast-paced, innovative environment. You will bring a quantitative mindset to decision-making in partnership with engineers, product, business, and marketing stakeholders across organizations and drive roadmaps to create products solving the needs of millions of riders.

　　You will report to a Data Science Manager in the Rider team.

　　

Responsibilities:

Partner with other scientists and colleagues in the rider segments team, and with external teams across driver, marketplace and business to frame problems mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of problems Develop and fit statistical, causal and machine learning models  Design, implement and analyze experiments or leverage other causal methodologies to measure performance Communicate findings and facilitate launch decisions Develop causal measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes

Experience:

M.S. or Ph.D. in Economics, Statistics, or other quantitative fields 1-2+ years of professional experience for PhDs or 2-4+ years for Master’s in a data scientist role  Passion for solving unstructured and non-standard mathematical problems End-to-end experience with data, including querying, aggregation, analysis, and visualization Proficiency with Python, or another interpreted programming language like R or Matlab Familiar with SQL - able to write structured and efficient queries on large data sets Ability to collaborate and communicate with others to solve a problem 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.