About the Job
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in a dynamic environment, and partner closely with cross-functional teammates to tackle a variety of highly open-ended business problems to build the world’s best transportation solutions.
The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives, and Rider Engagement is an integral part of that. Rider Engagement manages one of the most impactful marketplace and business levers, driving both short term and long term business o...
Key Responsibilities
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
End-to-end experience with data, including querying, aggregation, analysis, and visualization
Strong verbal and written communication skills, and ability to collaborate and communicate with others to solve a problem
Qualifications
Experience:
4 years experience
Education:
Postgraduate
