CASY-MSCCN Jobs

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 priorities, recommending technical solutions, designing experiments, and measuring the impact of new features.

Livery refers to for-hire vehicles that are commercially licensed and insured and comes in many forms including: Black Car/Black SUVs, Limos, Taxis, and Buses/Shuttles. As a Data Scientist on the Livery team, you will collaborate with our world class team of engineers, product managers, and designers to accelerate our Lux Black market growth while formulating and driving forward strategies that best leverage the unique aspects of Livery driver supply. We’re looking for a passionate Data Scientist to take one of the most interesting and strategically important problems across Rideshare. The ideal candidate has strong business acumen, exceptional problem solving skills, and is comfortable working with a highly cross functional team.

Responsibilities

• Leverage data and analytic frameworks to identify opportunities for growth and efficiency

• Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action

• Design and analyze online experiments; communicate results and act on launch decisions

• Develop analytical frameworks to monitor business and product performance

• 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

• 4+ years of industry experience in a data science, analytics, or management consulting role.

• Strong ability in building decision making frameworks and data analysis, able to understand business issues, analyze large amounts of data, and draw actionable conclusions

• Ability to manage, influence, negotiate, and inspire others in a fast-moving environment

• 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 in online experimentation and statistical analysis

• Strong oral and written communication skills, and ability to collaborate with and influence 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 — 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.

The expected base pay range for this position in the San Francisco area is $124,000-$155,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary ra nge specific to your working location and other factors during the hiring process.