Senior Data Scientist, Decisions - Rider Experience

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 Core Experience team is responsible for the Lyft Rider App, spanning the full consumer journey from request and purchase to pickup, in-trip experience, drop-off, and time between rides. As a Senior Data Scientist in the team, you will leverage data and rigorous, analytical thinking to shape the golden path on the Lyft rider app and make business decisions that put our customers first. You will be leading and bringing a quantitative mindset to decision-making in partnership with product, design, engineering, business, and operations stakeholders throughout the organization. 

Responsibilities:

• Design and analyze experiments to optimize service excellence across offerings — measuring reliability, growth, and rider retention.
• Build models and reporting frameworks that explain rider choice, conversion, and retention across different ride modes and product offerings.
• Establish metrics that measure the health of Lyft rideshare offerings and rider experience. Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and actions
• Develop insights that inform product strategies and global market adaptation.
• Contribute to Lyft’s experimentation and observability frameworks to ensure scientific rigor and actionable results.
• Communicate results and insights to senior leadership with clarity and strategic framing.

Experience:

• MS/PhD in Computer Science, Statistics, Mathematics, Operations Research, or related quantitative field.
• 5+ years of experience in data science, applied machine learning, or a similar role in a consumer-facing tech product.
• Strong proficiency in Python and SQL; experience with large-scale data systems (Spark, Trino, Hadoop, etc.).
• Strong foundation in causal inference, experimentation design, and applied statistics.
• Excellent communication and collaboration skills; able to influence technical and non-technical stakeholders.
• Growth mindset and ability to thrive in a fast-moving, ambiguous environment.
• Familiarity with marketplace dynamics or have prior experience in two-sided platforms.

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 San Francisco area is $148,000 - $185,000. 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.

Total compensation is 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.