Staff Data Scientist, Machine Learning, Rider Recommendations

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data Science is at the heart of Lyft’s products and decision-making. As a member of the Rider team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.

As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Rider Recommendations team, you will collaborate with cross-functional teammates and stakeholders to develop advanced machine learning models to enhance rider experience. By analyzing user behavior and leveraging data-driven insights, the team builds personalized recommendation systems that help deliver more relevant, engaging content and products. The Rider Recommendations team aims to optimize recommendations, drive user satisfaction, and improve overall platform engagement.

Responsibilities:

• Drive Science roadmap for Recommendations team. Be a primary participant in defining team goals and setting the priorities of projects for the team to address. 
• Partner with cross-functional teams to initiate, lead and drive science work on designing, developing and scaling Rider recommendations system. Define and maintain system objectives to align with the overarching goals of Rider, Marketplace and Lyft. 
• Prototype modeling system; collaborate with MLE and server engineers to implement algorithms in production. 
• Be a thought partner to senior leaders to identify opportunities, prioritize projects, and drive data informed business decisions 
• Drive cross-org impact and alignment, shaping product and business strategy through data-centric presentations
• Design, implement and evaluate both simulated and live traffic experiments. Analyze experimental and observational data, communicate findings and facilitate decisions.
• Advise teams on best practices. Be a thought leader and go-to expert for stakeholders and dependency teams
• Provide technical guidance and mentorship to junior team members on solution design, implementation as well as lead code reviews.

Experience:

• M.S. or Ph.D. in Statistics, Computer Science, Mathematics, or other quantitative fields.
• M.S. and at least 6 or Ph.D. + at least 4 years of relevant work experience.
• Proven experience with building and evaluating impactful machine learning system.
• Proficiency with SQL, Python and working in a production coding environment.
• End-to-end experience with data, including querying, aggregation, analysis, modeling and visualization.
• Experience in online experimentation and statistical analysis.
• Passion for driving business impact with data.
• Experience in mentoring other data scientists.

Benefits:

• Great medical, dental, and vision insurance options
• Mental health benefits
• Family building benefits
• In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
• 401(k) plan to help save for your future
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Pre-tax commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. 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 or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

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, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $172,000 - $215,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.