Partner with other Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context

Write production code. Collaborate with Software Engineers to implement algorithms in live systems and ensure the robustness of the systems

Develop and fit statistical, machine learning, or optimization models. Deploy production-grade models that solve business problems.

Design, implement, and analyse different types of experiments, and facilitate data-driven and informed decision making and prioritization

Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes

Perform deep dive analysis to gain a deeper understanding of the problem and uncover new product and business opportunities

Drive collaboration and coordination with cross-functional teams. Communicate findings to a broad audience consisting of Product, Engineering, and executive leadership.

M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields

1-4+ years professional experience for PhDs or 3-5+ years for Master’s in a Data Science role in a technology company setting

Proven experience with 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

Data Scientist, Algorithms - Pricing - Rider Engagement

Responsibilities

Qualification

Required

Benefits

Company

Lyft

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