Senior Data Scientist, Lyft
Decisions, Customer Care Tech
$144-180k
More information about location
3 days a week in office
Ride sharing company
Be an early applicant
Ride sharing company
1001+ employees
Be an early applicant
$144-180k
More information about location
3 days a week in office
1001+ employees
Company mission
To improve people’s lives with the world’s best transportation.
Role
Who you are
- This role requires a strong ability to independently gather insights, challenge existing methods, and ensure data-driven decisions support Lyft's long-term objectives
- Educational Background: Degree in a quantitative field (e.g., statistics, economics, applied math, operations research, engineering). Advanced degrees are preferred
- Professional Experience: 7+ years in a data science or analytics role, with experience managing multiple projects and engaging with cross-functional teams
- Technical Skills: Proficiency in SQL for querying large datasets. Strong programming skills, especially with data science and visualization libraries in Python or R
- Communication: Exceptional written and verbal communication skills with the ability to influence and collaborate effectively across teams
- Leadership and Collaboration: Ability to guide XFN team priorities, effectively resolve conflicts, and create a psychologically safe work environment that encourages feedback and growth
What the job involves
- 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, high-impact challenges, and drive forward Lyft's strategic goals forward with a focus on customer experience and operational efficiency
- As a Senior Data Scientist, Decisions, you will use your analytical expertise to influence critical product and business decisions
- You will lead multiple projects tied within the Customer Care Tech team, engaging with cross-functional (XFN) teams such as product, engineering and design to align on priorities and deliver impactful solutions to the business
- Project Leadership: Lead and prioritize multiple projects impacting key XFN team goals, ensuring alignment with broader business objectives. Drive the creation of data-driven insights to guide decisions on product and customer care improvements
- Cross-functional Collaboration: Act as a primary partner in defining goals, setting priorities, and creating roadmaps for projects. Work closely with product managers, engineers, designers, and other stakeholders to turn data insights into strategic actions
- Experimentation and Analysis: Design and analyze experiments to test hypotheses and measure the impact of new initiatives. Interpret results and make launch recommendations that optimize both customer experience and business outcomes
- Framework and Metric Development: Develop analytical frameworks and establish metrics to monitor the health of products, customer support interactions, and both rider and driver experience
- Quality Assurance: Ensure high-quality, accurate work by leveraging domain knowledge and advanced methodologies. Maintain a well-organized codebase and documentation for project accessibility and future use
- Ongoing Performance Monitoring: Define processes for tracking product health and business performance. Build or support the creation of tools that facilitate efficient monitoring and scaling of operational tasks
- Sample Challenges We Address
- How can high-quality support interactions drive customer loyalty?
- What role can generativeAI play in delivering exceptional customer support?
- How can we automate and scale our customer support agents to improve their quality of service?
Our take
Lyft has aimed for consistent growth, making sure to pitch itself as a more reliable and friendly ride-sharing option than its main competitor, Uber. Uber has a greater market share and operates globally, but Lyft hopes to compete by its focus on ride-sharing over Uber's more diversified business approach and as a more rider-friendly and greener alternative to Uber.
Operating only in the USA and Canada, Lyft is in a position of being less affected by global events than Uber but also more vulnerable to local conditions. As an example, while it doesn't face the regulatory hurdles around employment rights that Uber does, it is unable to balance out the cost of the unusually expensive US auto insurance across its operations.
In 2022, Lyft acquired PBSC Urban Solutions, a bike-share equipment and technology supplier, allowing Lyft to compete in new verticals and reaffirming its commitment to green transportation. It has also trialed and launched Lyft Assisted, where drivers help passengers from their door into the car to get to medical appointments. These developments chime well with Lyft's unique selling point as a friendlier and more environmentally aware ride-sharing app.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 14 rounds)
Jun 2018
$600m
LATE VC
Mar 2018
$200m
LATE VC
Total funding: $4.9bn
Company benefits
- 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
- Family building benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Company HQ
China Basin, San Francisco, CA
Articles
Leadership
John Zimmer
(Co-Founder)Originally an Analyst at Lehman Brothers, Zimmer then founded Zimride which was a private ridesharing company that pivoted into Lyft.
Logan Green
(Co-Founder)Founded Zimride, a private ridesharing company which later pivoted into Lyft.
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