Senior Data Scientist, Machine Learning, Fulfilment

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 central to Lyfts products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.

As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platforms core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will report to a Team Manager overseeing Data Scientists, Data Analysts, Machine Learning Engineers and Software Engineers. You will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers.

Responsibilities:

Drive the Science and Machine Learning roadmap of the team’s problem area, leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team’s systems and products

Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.

Perform exploratory data analysis to gain a deeper understanding of the problem

Construct and fit statistical, machine learning, or optimization models

Write production modeling code; collaborate with Software Engineers to implement algorithms in production

Design and implement both simulated and live traffic experiments

Analyze experimental and observational data; communicate findings; facilitate launch decisions

Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes

Drive collaboration and coordination with cross-functional teams

Advise teams on best practices. Be a thought leader and go-to expert for stakeholders and dependency teams

Experience :

M.S. or Ph.D. in Machine Learning, Statistics, Computer Science, Mathematics, or other quantitative fields

4 years professional experience in a technology company setting

Proven experience with building and evaluating machine learning models

Proficiency with Python and working in a production coding environment

Past experience working as a Machine Learning Engineer is a preferred plus

Passion for solving unstructured and non-standard mathematical problems

End-to-end experience with data, including querying, aggregation, analysis, and visualization

Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem

Benefits

Great medical, dental, and vision insurance options

Mental health benefits

Family building benefits

In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off

401(k) plan to help save for your future

18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

Pre-tax commuter benefits

Lyft Pink – Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

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. #Hybrid

The expected base pay range for this position in the San Francisco area is $144,000 – $180,000. 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 range specific to your working location and other factors during the hiring process.