Jobs/New York City/Data Scientist, Supply and Operations Technology, Lyft Urban Solutions
New York City, New York, United States

Data Scientist, Supply and Operations Technology, Lyft Urban Solutions

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.

Company
Lyft
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

Data Scientist, Supply and Operations Technology, Lyft Urban Solutions at Lyft in New York City. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. 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

Day-to-day expectations

A clear list of the work this role is designed to cover.

  • 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
  • Develop, calibrate, refine, and leverage numerical models (e.g., statistical, simulation)
  • Collaborate with Software Engineers to, refine, monitor and troubleshoot algorithms in production
  • Design and implement both simulated and live experiments
  • Analyze experimental and observational data; communicate findings; guide feature launch and capital/operational spending decisions
Requirements

What a strong candidate brings

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    Benefits

    Why people would want this job

    Benefits help searchers understand whether the role is a real fit before they apply.

    • 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 with company match 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
    Subscriber playbook

    Turn this listing into an application plan.

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    Next moves

    • Tailor your resume around llm and research instead of sending a generic application.
    • Use the first two bullets of your application to connect your background directly to data scientist, supply and operations technology, lyft urban solutions is a high-signal on-site role in new york city, and it is most realistic for united states residents.
    • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

    Interview themes

    Data & AnalyticsOn-sitellmresearchpythondata

    Watchouts

    • Compensation is hidden, so get range clarity in the first recruiter conversation.
    • Use united states residents as part of your positioning so the recruiter does not have to infer it.
    • Show concrete examples of succeeding in on-site environments.
    SEO context

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    Data Scientist, Supply and Operations Technology, Lyft Urban SolutionsLyftNew York CityUSData & Analyticsllmresearchpythondataproductplatformapibackendmobile
    Next step

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