Senior Data Scientist, Rider New Products

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.

The Rider team is the heartbeat of Lyft business. Every feature you build

translates to a better experience for millions of riders globally. The Rider New

Product team is the engine of innovation for Lyft's business. The Rider New

Product science team’s mission is to rigorously quantify the value of innovation

by applying advanced causal inference to unlock Lyft’s next generation of

growth. You will have the autonomy of a startup lead with the data scale of a

global tech giant.

This is a high-impact, highly technical role within a core business line. The

ideal candidate brings strong applied causal inference intuition, hands-on

experience with advanced measurement techniques, and the ability to write clean,

efficient production code. You will play a critical role in shaping the future

of the Lyft rideshare experience by rigorously measuring the true incremental

impact of new product features, shaping critical business decisions, and

bridging the gap between cutting-edge applied science research and

production-scale product impact.

RESPONSIBILITIES

* Own complex, open-ended incrementality measurement problems. Translate

ambiguous product launches into concrete causal frameworks and experimental

designs.

* Lead high-impact Causal Inference initiatives. Drive innovation by

introducing advanced measurement techniques to quantify the incremental

impact of new rider features.

* Partner deeply with Product, Engineering, and Finance. Define the technical

vision for how Lyft evaluates innovation, ensuring that we move beyond simple

correlations to understand the long-term drivers of rider behavior and value.

* Design and build production-grade measurement systems. Develop and deploy

robust causal models pipelines that balance high scientific rigor with the

practical constraints.

* Establish robust evaluation frameworks. Ensure that the "engine of

innovation" is steering the business toward sustainable, incremental growth.

* Build reusable science infrastructure. Create internal libraries and best

practices for causal discovery and automated measurement.

* Mentor and guide junior/mid-level scientists. Serve as a technical advisor on

experimental design, statistical modeling, and fostering a culture of

scientific excellence.

EXPERIENCE:

* Advanced Quantitative Background: Master’s or PhD in Economics, Statistics,

Applied Math, Computer Science or equivalent high-impact industry experience.

* 3+ Years of Applied Experience: Proven track record in applied science or

data science, with a focus on deploying causal models that drive measurable

business outcomes.

* Deep product intuition and hands-on experience with causal methods

* Strong proficiency in Python and SQL.

* Experienced in defining and executing sophisticated evaluation strategies,

including advanced experiment design and counterfactual analysis to isolate

incrementality.

* Proven ability to align cross-functional partners, influence technical

architecture, and challenge scientific assumptions to guide high-level

product strategy.

* Excellent ability to articulate complex causal concepts, trade-offs between

rigor and speed, and scientific findings to both technical peers and

executive stakeholders.

* Preferred Qualifications

* Demonstrated ability to own high-stakes, open-ended problem spaces,

translating vague business questions into rigorous scientific roadmaps.

* Experience in mentoring other scientists, elevating the bar for technical

quality, and establishing best practices for modeling and scientific

reasoning.

BENEFITS:

* Great medical, dental, and vision insurance options with additional programs

available when enrolled

* Mental health benefits

* Family building benefits

* Child care and pet benefits

* 401(k) plan to help save for your future

* In addition to 12 observed holidays, salaried team members have discretionary

paid time off, hourly team members have 15 days paid time off

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

all eligible

* Subsidized commuter benefits

* Lyft Pink - Lyft team members get an exclusive opportunity to test new

benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive workplace that

fosters belonging. 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,

age, genetic information, or any other basis prohibited by law. We also consider

qualified applicants with criminal histories consistent with applicable federal,

state and local law.

Lyft highly values having employees working in-office to foster a collaborative

work environment and company culture. 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, Wednesdays, and Thursdays. Lyft considers working in the office at

least 3 days per week to be an essential function of this hybrid role. Your

recruiter can share more information about the various in-office perks Lyft

offers. 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 New York City area is

$148,000 - $185,000, not inclusive of potential equity offering, bonus or

benefits. Salary ranges are dependent on a variety of factors, including

qualifications, experience and geographic location. Your recruiter can share

more information about the salary range specific to your working location and

other factors during the hiring process.