Lyft is looking to leverage data science to improve the rider experience and drive business growth by shaping the rider app and making data-driven decisions.
Requirements
- Proficiency in SQL - able to write structured and efficient queries on large data sets.
- Experience in programming, especially with data science and visualization libraries in Python or R is helpful.
- Experience in online experimentation and statistical analysis.
Responsibilities
- Leverage data and analytic frameworks to identify opportunities for growth and efficiency.
- Design and analyze online experiments; communicate results and act on launch decisions.
- Develop analytical frameworks to monitor business and product performance.
- Establish metrics that measure the health of our products, as well as rider and driver experience.
- Translate data insights into decisions and action.
- Recommend technical solutions.
- Measure impact.
Other
- Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience.
- 5+ years of industry experience in a data science or analytics role.
- Strong communication skills, and ability to collaborate with and influence cross-functional partners.
- 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
- Lyft is an equal opportunity/affirmative action 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.
