About Lyft
The friendly ride-sharing alternative to Uber
Key Highlights
- Headquartered in San Francisco, CA
- Over 100 million rides completed
- $4.9 billion raised in funding
- Acquired PBSC Urban Solutions in 2022
Lyft, headquartered in San Francisco, CA, is a leading ride-sharing company focused on improving transportation experiences in the U.S. and Canada. With over 100 million rides completed and $4.9 billion raised in funding, Lyft aims to provide a more reliable and environmentally friendly alternative ...
🎁 Benefits
Lyft offers a comprehensive benefits package including unlimited paid time off for salaried employees, 15 days PTO for hourly team members, and 18 wee...
🌟 Culture
Lyft fosters a culture focused on reliability and friendliness, positioning itself as a greener alternative to Uber. The company emphasizes local oper...
Skills & Technologies
Overview
Lyft is hiring a Senior Data Scientist for the Rider New Products team to drive innovation through advanced measurement techniques. You'll apply causal inference to quantify the impact of new features. This role requires strong analytical skills and hands-on experience with data analysis.
Job Description
Who you are
You have 5+ years of experience in data science, particularly in applying causal inference techniques to solve complex measurement problems. Your strong analytical skills allow you to translate ambiguous product launches into concrete causal frameworks and experimental designs. You are proficient in writing clean, efficient production code, and you have hands-on experience with advanced measurement techniques that drive innovation. You thrive in a collaborative environment, partnering deeply with product and engineering teams to shape critical business decisions.
You possess a deep understanding of statistical methodologies and are comfortable working with large datasets. Your ability to communicate complex concepts clearly to non-technical stakeholders is one of your strengths. You are passionate about using data to improve user experiences and drive business growth. You enjoy tackling open-ended problems and have a track record of delivering high-impact results.
Desirable
Experience with machine learning frameworks and tools is a plus, as is familiarity with data visualization tools. You may have worked in a fast-paced tech environment and are comfortable with the challenges that come with it. A background in product management or experience working closely with product teams can enhance your contributions to the Rider New Products team.
What you'll do
In this role, you will own complex incrementality measurement problems, rigorously measuring the true incremental impact of new product features. You will lead high-impact causal inference initiatives, driving innovation by introducing advanced measurement techniques to quantify the incremental impact of new rider features. Your work will directly influence the future of the Lyft rideshare experience, shaping critical business decisions based on data-driven insights.
You will collaborate closely with product and engineering teams, ensuring that your findings are integrated into product development processes. Your responsibilities will include designing and executing experiments, analyzing results, and communicating insights to stakeholders. You will also mentor junior data scientists, fostering a culture of learning and growth within the team.
What we offer
Lyft offers a competitive salary range for this position in the New York City area, between $148,000 and $185,000, not inclusive of potential equity offerings, bonuses, or benefits. We provide a supportive work environment where all team members belong and have the opportunity to thrive. You will have the autonomy of a startup lead with the data scale of a global tech giant, making a significant impact on the Lyft business and the rider experience.
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