Senior Data Scientist, Inference, Rider

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. As a member of the Rider Science 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. 

We are looking for a Data Scientist - Algorithms with chops in Economics, Statistics, or other quantitative fields to join the Rider Segments team. In it, you will leverage data, analytical thinking, and rigorous machine learning and causal modeling to bring to life zero-to-one products tailored to our most impactful and strategic rider segments and their use cases. We're looking for execution-oriented scientists who are passionate about solving challenging problems with data and mathematical models, and are excited about working in a fast-paced, innovative environment. You will bring a quantitative mindset to decision-making in partnership with engineers, product, business, and marketing stakeholders across organizations and drive roadmaps to create products solving the needs of millions of riders.

You will report to a Data Science Manager in the Rider team.

Responsibilities:

• Lead other scientists and partner with cross-functional leads in the rider segments team or external teams across driver, marketplace and business to frame problems mathematically and drive business impact
• Perform exploratory data analysis to gain a deeper understanding of problems
• Develop and fit statistical, causal and machine learning models 
• Design, implement and analyze experiments or leverage other causal methodologies to measure performance
• Communicate findings and facilitate launch decisions
• Develop causal measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes

Experience:

• M.S. or Ph.D. in Economics, Statistics, or other quantitative fields
• 4+ years of professional experience for PhDs or 6+ years for Master’s in a data scientist role 
• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Proficiency with Python, or another interpreted programming language like R or Matlab
• Familiar with SQL - able to write structured and efficient queries on large data sets
• Advanced causal inference and ML techniques
• Ability to collaborate and communicate with others to solve a problem
• Strong oral and written communication skills, and ability to collaborate with cross-functional partners

 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 New York City area is $144,000 - $180,000. 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.

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Last updated on Aug 19, 2024