Data Scientist, Algorithms - Pricing - Rider Engagement

Lyft•San Francisco, CA

11d•Hybrid

About The Position

Lyft’s Data Scientists partner with cross-functional teams to solve open-ended business problems and support the development of transportation solutions. The Pricing team determines prices for Lyft’s rideshare products and supports new initiatives. Its Rider Engagement team develops algorithms and systems for incentive offers, budget management, operational control, and real-time optimization to drive short- and long-term business outcomes. In this role, you will work with Product, Engineering, and Analytics to develop and iterate incentive levers and prototype and build end-to-end solutions that operate at scale. You will also use your domain knowledge to influence current and future roadmaps, helping Lyft improve the experience for riders and drivers. The role follows a hybrid schedule, with in-office work three days per week on Mondays, Wednesdays, and Thursdays. Hybrid team members may work from anywhere for up to four weeks per year. The expected base pay range in the San Francisco area is $128,000–$160,000 per year; the range does not include potential equity, bonus, or benefits.

Requirements

M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science, or another quantitative field.
1–4+ years of professional Data Science experience in a technology company for Ph.D. holders, or 3–5+ years for Master’s holders.
Proven experience building and evaluating optimization or machine learning models.
Proficiency with Python and working in a production coding environment.
Passion for solving unstructured and non-standard mathematical problems.
End-to-end experience with data, including querying, aggregation, analysis, and visualization.
Strong verbal and written communication skills and ability to collaborate with others to solve problems.

Responsibilities

Partner with Scientists, Engineers, Product Managers, and business partners to frame problems mathematically and in their business context.
Write production code and collaborate with Software Engineers to implement algorithms in live systems and ensure system robustness.
Develop and fit statistical, machine learning, or optimization models, and deploy production-grade models to solve business problems.
Design, implement, and analyze experiments to support data-driven decision-making and prioritization.
Establish metrics and measurement methodologies to monitor product health and impacts on users and marketplace outcomes.
Perform deep-dive analysis to understand problems and uncover product and business opportunities.
Drive collaboration and coordination with cross-functional teams.
Communicate findings to Product, Engineering, and executive leadership.

Benefits

Medical, dental, and vision insurance options, with additional programs available when enrolled.
Mental health benefits.
Family-building benefits.
Child care and pet benefits.
401(k) plan.
12 observed holidays.
Discretionary paid time off for salaried team members; 15 days of paid time off for hourly team members.
18 weeks of paid parental leave for biological, adoptive, and foster parents.
Subsidized commuter benefits.
Lyft Pink benefits and an opportunity for team members to test new benefits of the Ridership Program.
Hybrid schedule with flexibility to work from anywhere for up to four weeks per year.
In-office perks; details available from the recruiter.