Data Scientist, Algorithms - Pricing - Rider Engagement
About The Position
Lyft’s Data Science team partners across the company to solve open-ended business problems and support product and business decisions. The Pricing team determines prices for Lyft rideshare products and supports new initiatives. Within Pricing, Rider Engagement owns algorithms and systems for incentive offers, budget management, operational control, and real-time optimization, driving short- and long-term marketplace and business outcomes. In this role, you will work with Product, Engineering, Analytics, and business partners to develop and iterate incentive levers and build end-to-end solutions that operate at scale. You will apply pricing and quantitative methods to business problems, contribute domain expertise to product roadmaps, and help improve experiences for riders and drivers. The role is hybrid, with three required office days per week—Mondays, Wednesdays, and Thursdays—and the flexibility to work from anywhere for up to four weeks per year.
Requirements
- M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science, or another quantitative field.
- 1–4+ years of professional experience for Ph.D. holders, or 3–5+ years for master’s holders, in a Data Science role in a technology company setting.
- Proven experience building and evaluating optimization or machine learning models.
- Proficiency with Python and experience 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 the 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 analyses to understand problems and identify product and business opportunities.
- Coordinate with cross-functional teams and 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.
- Exclusive opportunity for Lyft team members to test new Lyft Pink benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
