Data Scientist, Algorithms, Optimization
San Francisco, CA
Lyft
Rideshare with Lyft. Lyft is your friend with a car, whenever you need one. Download the app and get a ride from a friendly driver within minutes.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 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.
As a Data Scientist, Algorithms, you will be developing mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. An effective solution to these problems cuts across discrete and continuous optimization, inference, and prediction. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.
You will report to a Data Science Manager.
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
- Formulate and productionize statistical, machine learning, or large-scale mathematical optimization models
- Write production model code; collaborate with Software Engineers to implement algorithms in production
- Design and implement both simulated and live experiments
- Analyze experimental and observational data; communicate findings; facilitate launch decisions
- M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience
- 3+ years professional experience in a technology company setting involving a product
- 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
- Ability to collaborate and communicate with others to solve a problem
- 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.
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.
This role is work-from-anywhere, excluding the following states and all U.S. territories: Kansas, Mississippi, Oklahoma, West Virginia, Puerto Rico.
For candidates living in Colorado the expected base pay range is $130,240-$151,800, depending on a variety of non-discriminatory factors, including qualifications, experience and geographic location.
Tags: Computer Science Data analysis EDA Machine Learning Mathematics Matlab Python R Research Statistics
Perks/benefits: Career development Health care Insurance Medical leave Parental leave Startup environment Unlimited paid time off
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