Skip to main content
Back to jobs

Data Scientist, Algorithms, Optimization - Fulfillment

External
Lyft logoLyft · San Francisco, CA
$128K–$160K/yrFull-timeOn-site3w ago
Data AnalysisMachine LearningPython
Cover LetterConnect

Prepare for this interview

Elite

AI-generated questions, company research, and talking points tailored to this role


Responsibilities

  • 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

Requirements

  • M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
  • 2+ 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
  • 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 with additional programs available when enrolledMental health benefitsFamily building benefitsChild care and pet benefits401(k) plan to help save for your futureIn addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligibleSubsidized commuter benefitsLyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership ProgramHealth insuranceDental insuranceVision insurance401(k)Equity / stock optionsPerformance bonusParental leave

Additional Information

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is central to Lyft's 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 platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, 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.


Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Lyft? Share your experience

Interested in this role?

Apply on the company's website.

Cover LetterConnect