Data Science Manager, New Product & Partnerships (Rider)

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. As a member of the Rider & Safety 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 and managers to take on some of the most interesting and impactful problems in ridesharing.

We’re seeking a highly analytical and product-focused leader with strong business intuition, technical expertise, and a collaborative mindset. The ideal candidate is deeply curious, comfortable navigating ambiguity, and passionate about leveraging data to drive product strategy and business outcomes.

As the data science manager, you’ll help develop the vision, set roadmaps, and lead execution for projects in Rider New Product & Partnerships. These pods are responsible for some of the key strategic initiatives in Rider, with frequent exposure to the company’s senior leadership team.

You will be reporting to the Senior Data Science Manager leading Lyft’s Rider & Safety Data Science & Analytics team.

Responsibilities: 

• Lead and grow a high-performing team of data scientists with various backgrounds including analytics, experimentation, machine learning, and causal inference.
• Lead and coach the team to investigate complex problems and identify key drivers of product performance and customer behavior
• Be a thought leader and go-to expert for goals, strategy, and long-term vision
• Develop clear, insight-driven narratives about our users, translating findings into actionable recommendations
• Influence product roadmaps by forming data-backed perspectives and guiding prioritization decisions
• Operate effectively at both the strategic and tactical levels, including regular engagement with senior leadership
• Facilitate and foster a data-driven culture and informed decision making and prioritization
• Design and implement data frameworks to evaluate and prioritize high-impact product initiatives

Experience: 

• Advanced degree in a quantitative field like computer science, statistics, economics, operations research, or engineering; or relevant work experience
• 6+ years of hands-on technical experience in machine learning, causal inference, or data science
• 4+ years of management experience building and leading data science teams
• Strong track record of using machine learning and data science to improve business outcomes
• Strong track record of guiding teams through unstructured technical problems to deliver business impact
• Skilled at managing cross-functional relationships and communicating with leadership across multiple teams

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• 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
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. 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. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid