At Lyft, the Data Science team is responsible for leveraging data and analytical thinking to shape products and make business decisions. The Risk Solutions team specifically focuses on using data to build a safer platform for users, impacting driver and rider safety.
Requirements
- Proficiency in SQL and Python
- End-to-end experience with data, including querying, aggregation, analysis, and visualization
Responsibilities
- Leverage data and analytic frameworks to identify opportunities for growth and efficiency
- Construct and fit statistical, machine learning, or optimization models
- 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, the business, as well as the driver experience
- Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
Other
- Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
- Strong oral and written communication skills, and ability to collaborate with cross-functional partners
- Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
- 3+ years of industry experience in a data science, analytics, or management consulting role.
- 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.
