Data Science Manager- Head of Risk Modeling

At Lyft, our mission is to improve people’s lives with the world’s best transportation. 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. Data Scientists at Lyft work in dynamic environments, where we embrace moving quickly to build the world’s best transportation. We take on a variety of problems ranging from shaping long term business strategy with data, making short-term business critical decisions and building algorithms that power our internal and external products. 

Lyft has a uniquely diverse and dynamic marketplace, spanning multiple lines of business like Rideshare, Bikes and Fleet. As the Head of Data Science for Risk Modeling at Lyft, you will be responsible for helping Lyft build a robust and secure platform, resilient to both online and offline risks. You will be leading a team of data scientists who will be developing and deploying models to evaluate and mitigate risk across Lyft’s varied lines of business. You’ll partner closely with product, engineering, and business leaders to build and scale our products and systems, shape the long-term strategy and deliver business goals. 

Responsibilities:

• Lead and grow a high-performing team of data scientists with diverse skill sets
• Work with cross-functional partners in product, engineering, design, finance, and operations to achieve business goals
• Creating an overall framework to evaluate risk across multiple dimensions 
• Developing a consistent framework to trade off risk reduction with potential customer LTV.
• Collaborating with engineering on developing technological capabilities that help secure Lyft’s platform, ranging from NLP to facial recognition.
• Serve as a champion of sound decision-making at all levels of the company

Experience:

• Degree in a quantitative field like statistics, economics, applied math, operations research or engineering (advanced degrees are preferred) or relevant work experience
• 8+ years of hands-on technical experience in a data science role or equivalent
• 4+ years management experience building and leading data science teams
• Strong track record of using data science expertise to improve business outcomes
• 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
• Willingness to collaborate and communicate with others to drive cross-team and cross-organization initiatives forward
• Strongly prefer prior experience in risk management, fraud mitigation or related area

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

This role is work-from-anywhere, excluding the following states and territory: Alabama, Arkansas, Delaware, Iowa, Kansas, Maine, Mississippi, Nebraska, New Hampshire, North Dakota, Oklahoma, South Dakota, West Virginia, Wyoming, Puerto Rico.

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. 

Until further notice, Lyft employees working in the United States and Canada in any capacity (on a daily or hybrid schedule, remote, or as a visitor) are required to provide proof that they are fully vaccinated and up to date against COVID-19. Fully vaccinated and up to date means an employee has: 1) received all recommended doses in a primary series of COVID-19 vaccine; and 2) either has received a booster dose or is not yet eligible to receive a booster dose but will do so when eligible. Lyft will maintain records associated with your vaccination history in a way that is compliant with all relevant Federal, state and local laws. Exceptions to this requirement are employees who require religious or medical exemption as approved through Lyft's accommodations process. New employees must provide proof of full vaccination or receive an accommodation exception approval prior to their start date.