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Open nowPosted 2 hours agoWe saw it 47 min after it went up

Data Scientist

Lyft183 open roles

Where
New York, NY
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Your applicationOpen nowData ScientistLyft · New York, NY

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Lyft's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

10.5% of postings close within 7 days. Measured by our own scanner across the market. Lyft postings stay open a median of 39 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.3%3 days
  3. 10.5%7 days
  4. 15.9%14 days
  5. 34.1%30 days
This job: posted 2 hours ago

Lyft median: 39 days open

The posting

Job ID: 111268

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

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 is an equal opportunity employer committed to an inclusive workplace that fosters belonging. 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, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

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

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