Data Scientist, Decisions - Customer Care Tech - Lyft

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

As part of the Data Science team, you will work in a fast-paced environment where data-driven decisions directly shape Lyft’s future products and services. Our Data Scientists tackle complex challenges with high impact, driving forward Lyft’s strategic goals with a strong emphasis on customer experience and operational efficiency.

As a Data Scientist, Decisions, you will apply analytical expertise to influence critical product and business decisions on the Customer Care team. You will own individual projects end-to-end, aligning with cross-functional (XFN) partners—including product, engineering, and design—to deliver actionable insights and scalable solutions. This role requires strong technical proficiency, independent problem-solving, and a proactive approach to aligning work with broader team objectives.

Responsibilities:

• Project Ownership & Execution: Lead individual projects that support key XFN team goals, ensuring alignment with broader business objectives. Independently drive data-driven insights to inform product and customer care improvements.
• Cross-functional Collaboration: Act as a key partner in defining priorities and roadmaps for projects. Work closely with product managers, engineers, and designers to transform insights into strategic actions.
• Experimentation & Analytical Rigor: Design and analyze experiments to test hypotheses and measure the impact of initiatives. Interpret results, assess trade-offs, and make recommendations that optimize customer experience and business outcomes.
• Framework & Metric Development: Establish analytical frameworks and define key metrics to monitor the health of products, customer interactions, and overall rider and driver experiences.
• Quality & Reliability: Ensure high-quality analytical work by leveraging domain expertise, refining methodologies, and maintaining well-documented code and workflows.
• Performance Monitoring & Iteration: Define processes for tracking business performance and product health. Develop tools and frameworks to facilitate ongoing monitoring, automation, and operational scaling.

Experience: 

• Educational Background: Degree in a quantitative field (e.g., statistics, economics, applied math, operations research, engineering). Advanced degrees are a plus.
• Professional Experience: 5+ years in data science or analytics roles, demonstrating the ability to manage multiple projects and collaborate cross-functionally.
• Technical Skills: Proficiency in SQL for querying large datasets. Strong programming skills, particularly in Python or R, with experience in data analysis and visualization libraries.
• Communication & Influence: Strong written and verbal communication skills, with the ability to effectively engage and influence cross-functional stakeholders.
• Ownership & Execution: Ability to independently manage project roadmaps, identify risks, and execute high-quality analytical solutions that balance complexity with efficiency.
• Collaboration & Leadership: A proactive approach to cross-functional teamwork, resolving conflicts, and fostering a psychologically safe and growth-oriented work environment.

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 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, Wednesdays, and Thursdays. 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 $128,000 - $160,000, plus equity and other benefits. 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.

Last updated: 4 hours ago