Qualifications
Advanced Quantitative Expertise: Master’s or PhD in Economics, Statistics, Applied Mathematics, Computer Science, or equivalent experience in a high-impact industry.Proven Experience: Minimum of 3 years in applied data science with a focus on causal inference.Technical Proficiency: Strong coding skills in languages such as Python or R, with experience in developing production-level software.Collaborative Mindset: Ability to work effectively with cross-functional teams in Product, Engineering, and Finance.Mentorship Skills: Experience guiding junior scientists in experimental design and statistical modeling.
About the job
Join Lyft, where our mission is to connect and serve communities worldwide. We foster an inclusive work environment that empowers every team member to thrive and make an impact.
The Rider team is pivotal to Lyft's operations, with every feature enhancing the experience of millions of riders globally. As part of the Rider New Product team, you'll drive innovation and apply advanced causal inference to unlock new avenues for growth. You will enjoy the autonomy typical of a startup while leveraging the extensive data resources of a leading global tech company.
This role is critical and technical within a key business division. We seek candidates with a robust understanding of applied causal inference and hands-on experience in advanced measurement methodologies. Your role will significantly influence the future of the Lyft rideshare experience by accurately measuring the incremental impact of new product features, guiding essential business decisions, and connecting advanced scientific research with real-world product outcomes.
About Lyft
At Lyft, we are dedicated to creating a transportation network that connects riders and drivers in a seamless, safe, and efficient manner. Our commitment to diversity and inclusion is at the core of our workplace culture, ensuring that every team member has a voice and the opportunity to excel. By prioritizing innovative solutions and embracing advanced technology, Lyft is leading the way in transforming urban mobility.
