Data Scientist, Algorithms - Rider Pricing

$124,000 - $155,000/Yr

Lyft - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Transit and Ground Passenger Transportation

About the position

As a Data Scientist on the Rider Pricing team at Lyft, you will play a crucial role in developing analyses, metrics, dashboards, and mathematical models that underpin the platform's core services. This position focuses on optimizing pricing strategies and ensuring competitive pricing while balancing financial trade-offs. You will work in a dynamic environment, collaborating with various teams to translate data insights into actionable decisions, and utilize advanced methodologies such as causal inference and reinforcement learning to drive efficient ride growth.

Responsibilities

• Leverage data and analytic frameworks to identify opportunities for growth and efficiency
• Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
• 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
• Provide coaching and technical guidance for the team
• Prioritize and lead deep dives into our data to uncover new product and business opportunities
• Facilitate and foster data-driven and informed decision making and prioritization

Requirements

• M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience
• 3+ years professional experience
• Passion for solving unstructured and non-standard, ambiguous mathematical problems by leveraging expertise in one or multiple fields
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Proficiency with Python, or another interpreted programming language like R or Matlab
• Strong communicator. Able to coordinate with several teams of data scientists to deliver on complex initiatives
• Strong business sense and understanding of experimentation methodologies
• Proficiency in SQL - able to write structured and efficient queries on large data sets
• Experience in online experimentation and statistical analysis
• Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners

Benefits

• Great medical, dental, and vision insurance options
• Mental health benefits
• Family building benefits
• Unlimited paid time off for salaried team members, 15 days paid time off for hourly team members
• 401(k) plan to help save for your future
• 18 weeks of paid parental leave for biological, adoptive, and foster parents
• Pre-tax commuter benefits
• Lyft Pink - exclusive opportunity to test new benefits of the Ridership Program