Data Scientist – Driver
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 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.
As a Data Scientist, Decisions in the Driver team, you will leverage data and apply analytical thinking to shape our driver app and make business decisions that put our customers first. You will identify improvement opportunities, propose and implement technical solutions, design experiments, and measure the impact of your team’s decisions. You will partner closely with product, engineering, design, and other stakeholders to deliver products end-to-end. You will also collaborate with adjacent teams outside of Driver to balance driver, rider and marketplace needs. We’re looking for well-rounded, passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.
Responsibilities:
Leverage data to provide insights around driver behavior and sentiment and identify improvement opportunities
Apply analytics, inference and experimentation techniques to solve business problems
Design and analyze experiments; communicate results to technical and non-technical audiences to act on launch decisions
Establish metrics that measure the health of our driver products and driver experience
Develop analytical frameworks and dashboards to monitor business and product performance
Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals
Design and implement data pipelines to support data analysis and product implementation
Experience:
2+ years experience in a data science role or analytics role
B.S. in economics, applied math, statistics, engineering or other quantitative fields, M.S. preferred
Proficiency in SQL – able to write structured and efficient queries on large data sets
Experience in programming, especially with data science and visualization libraries in Python or R
Experience designing and analyzing A/B experiments, and communicating results and recommendations to cross functional stakeholders
Demonstrated data analysis and problem-solving skills
Strong oral and written communication skills (i.e, business writing, presentation building & delivery, executive briefings)
Ability to build relationships and collaborate with cross-functional stakeholders to drive shared outcomes
Experience working with ETL pipelines a plus
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.
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