At Lyft, our purpose is to serve and connect. 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.
Rider Engagement manages one of the most impactful marketplace and business levers, driving both short term and long term business outcomes. We are looking for fast learning, data-driven individuals who are passionate about tackling these open-ended problems in pricing theory and making a large, positive impact in the business. In addition, you will be expected to leverage your domain knowledge and influence existing and future roadmaps to help Lyft continue to deliver a better experience for riders and drivers.
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. Design, implement, and analyse different types of experiments, and facilitate data-driven and informed decision making and prioritization
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
~ End-to-end experience with data, including querying, aggregation, analysis, and visualization
~ Great medical, dental, and vision insurance options with additional programs available when enrolled
~ Family building benefits
~ Child care and pet benefits
~401(k) plan to help save for your future
~ In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
~All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Range is not inclusive of potential equity offering, bonus or benefits.
