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Data Scientist, Inference
At Lyft, our mission is to improve people’s lives with the world’s best transportation. To achieve this, we begin with our own community by fostering an open, inclusive, and diverse organization.
Data Science is core to Lyft’s products and decision-making. Data Scientists at Lyft thrive in dynamic environments, where we are driven to quickly establish the world's best transportation. We undertake a range of problems including shaping long-term business strategies using data, making quick yet critical decisions, and constructing algorithms/models to boost our internal and external products.
We are seeking a Data Scientist to join the Central Market Management (CMM) team, to lead the measurement of return-on-investment of multiple growth levers (such as rider pricing, driver pay, acquisition, and retention incentives). The CMM team is tasked with managing the business' P&L by making optimal investment decisions that balance long-term growth with short-term profitability.
As a data scientist, your role will include developing the vision, setting roadmaps, and leading the execution of projects in Central Market Management. You will closely collaborate with product, engineering, and business leaders to expand our products and systems, shape long-term strategy and achieve business objectives. You’ll take a hands-on approach to build models incorporating observational and experimental causal inference methods, productionizing pipelines, and merging their outcomes into decision-making frameworks. The perfect candidate should have substantial experience developing and implementing Causal Inference methods, should be comfortable with moving fast with an entrepreneurial mindset, and be hands-on to execute plans.
Responsibilities:
Collaborate with a diverse set of team stakeholders to design new experimental and observational methods for improving Lyft’s measurement of long-term investment efficiency. Be a thought leader and the go-to expert for users.
Construct observational and experimental causal inference models and integrate their results into investment decision-making frameworks.
Provide coaching and technical guidance to the team.
Prioritize and lead in-depth investigations into our data to unearth new product and business opportunities.
Facilitate and cultivate data-driven and informed decision making and prioritization.
Experience:
Advanced degree in a quantitative field such as statistics, economics, computer science, operations research, or engineering; or relevant work experience.
Over 5 years of hands-on industry experience in causal inference or data science.
A proven track record of applying statistics and guiding teams to solve unstructured technical problems to deliver business impacts.
Benefits:
Comprehensive medical, dental, and vision insurance options.
Mental health benefits.
Family building benefits.
In addition to 12 observed holidays, salaried team members receive unlimited paid time off, and hourly team members get 15 days of paid time off.
401(k) plan to assist in securing your future.
18 weeks of paid parental leave. Available for biological, adoptive, and foster parents.
Pre-tax commuter benefits.
Lyft Pink - An exclusive chance for Lyft team members to trial 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.
From September 2023, this role will require in-office presence on a hybrid schedule — Team Members will need to be in the office for three days per week on Mondays, Thursdays, and a third team-specific day. Hybrid roles also offer the flexibility to work from anywhere for up to four weeks per year.
The expected salary range for this position in the San Francisco area is between $162,000 - $180,000. Salary ranges depend on various factors, including qualifications, experience, and geographic location, and do not include potential equity offering, bonus, or benefits. Your recruiter can provide more specific details about the salary range based on your working location and other factors during the hiring process.
