Data Scientist - Decisions

San Francisco, CA


Rideshare with Lyft. Lyft is your friend with a car, whenever you need one. Download the app and get a ride from a friendly driver within minutes.

View company page

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.


  • 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 and skills:

  • 3+ 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


  • Great medical, dental, and vision insurance options
  • Mental health 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.

Starting in September 2023, 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 range of pay for this position in the San Francisco area is $139,000 - $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 range specific to your working location and other factors during the hiring process.


Apply now Apply later
  • Share this job via
  • or

Tags: A/B testing Data analysis Data pipelines Economics Engineering ETL Mathematics Pipelines Python R SQL Statistics

Perks/benefits: Equity Health care Insurance Medical leave Parental leave Salary bonus Startup environment Unlimited paid time off

Region: North America
Country: United States
Job stats:  4  2  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.