Master's degree in Business Analytics, Data Science, or related field.
2 years of experience in operations research or a related occupation.
Proficient in statistics, machine learning, and causal inference.
Skilled in building optimization and predictive models.
Experienced in writing production-quality code using MATLAB, R, and Python.
Responsibilities
Collaborate with Engineers and Product Managers to define and frame business problems.
Conduct exploratory data analysis to understand issues deeply.
Develop and fit statistical and machine learning models.
Write production modeling code and work with Software Engineers for implementation.
Design and execute simulated and live traffic experiments.
Analyze data from experiments and communicate insights for decision-making.
Benefits
Comprehensive medical, dental, and vision insurance options.
Mental health support services.
Family building assistance programs.
Child care and pet care benefits.
401(k) retirement savings plan.
Generous paid time off policies including 12 holidays and discretionary leave.
18 weeks of paid parental leave for all types of parents.
Subsidized commuter benefits.
Exclusive Lyft team member perks.
Full Job Description
Job ID: 111268
Responsibilities:
Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
Perform exploratory data analysis to gain a deeper understanding of the problem.
Construct and fit statistical, machine learning, or optimization models.
Write production modeling code; collaborate with Software Engineers to implement algorithms in production.
Design and run both simulated and live traffic experiments.
Analyze experimental and observational data; communicate findings; facilitate launch decisions.
Experience:
Education and Experience:
Master's degree or foreign equivalent in Business Analytics and Information Management, Data Science, or related field.
2 years of experience in job offered, operations research, or related occupation.
Skills:
Experience creating metrics and analytical tools to track and monitor growth.
Experience with statistics, machine learning, causal inference, data scientific forecasting, and authoring data pipelines.
Experience with building and evaluating optimization and inference models, and predictive modeling.
Experience with writing production quality computer code and using MATLAB, R, and Python.
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 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
The expected base pay range for this position in the New York City area is $148,000 - $222,000/year. 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.
#LI-DNI
About Lyft
Lyft is a transportation network company that was founded in 2012 and is headquartered in San Francisco, California. The company operates a mobile app that allows users to request rides from nearby drivers. Lyft provides ride-hailing services in the United States and Canada, and it has expanded into other transportation services, such as bike-sharing and scooter-sharing. The company is known for its pink mustache logo, which was replaced by a glowing dashboard mustache in 2015. Lyft went public in March 2019.