Data Science, Metrics at Lyft | CA | Rezi

Data Science, Metrics at Lyft

Data Science, Metrics

Lyft · CA

1 months ago

Data Science, Metrics

Lyft · CA

2 months ago
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About the Role

Data and analytics are central to Lyft's products and decision-making. The Metrics team owns the business metrics that leaders use to run the marketplace. We are looking for a Data Scientist to join the Metrics team and help shape Lyft's products and decision-making. You will own a domain within the team's surface area, building and maintaining the data and metrics that leaders and partner teams rely on, with significant executive exposure.

Responsibilities

  • Own one or more domain datasets end-to-end, from source data through to the metrics that consumers rely on
  • Build and maintain the processing logic and pipelines that turn raw inputs into trusted, analysis-ready data
  • Own the business metrics derived from that data, developing the deep understanding of the source needed to build each metric correctly
  • Ensure the data is accurate, consistent, and reliable, with quality checks that catch problems before consumers see them
  • Deliver data and metrics to stakeholders in a usable form, and support them as they integrate it into their decisions
  • Partner with product managers, engineers, and operators to translate the data into decisions and action
  • Communicate findings to stakeholders in a clear and concise manner

Requirements

  • Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering (advanced degrees preferred), or relevant work experience
  • 3+ years of industry experience in a data science or analytics role
  • Proficiency in SQL, with the ability to write structured and efficient queries on large datasets
  • Programming experience, especially with data science and visualization libraries in Python or R
  • Strong oral and written communication skills, and the ability to collaborate with and influence cross-functional partners

Skills

  • SQL
  • Python
  • R
  • Data Science
  • Analytics
  • Data Visualization

Location

  • Toronto

Work Type

  • Hybrid
  • In-office

Experience Level

  • 3+ years of industry experience

Education Level

  • Degree in a quantitative field (advanced degrees preferred)

Salary/Compensations

  • CAD $108,000 - CAD $135,000

Benefits

  • Extended health and dental coverage options
  • Life insurance
  • Disability benefits
  • Mental health benefits
  • Family building benefits
  • Child care benefits
  • Pet benefits
  • Lyft funded Health Care Savings Account
  • RRSP plan with company match
  • Flexible paid time off policy
  • 18 weeks of paid parental leave
  • Subsidized commuter benefits
  • Lyft ride credits

About the Company

  • Lyft's purpose is to serve and connect.
  • Lyft is committed to creating an inclusive workforce that fosters belonging.
  • Lyft believes that every person has a right to equal employment opportunities without discrimination.
  • Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
  • Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.
  • Lyft highly values having employees working in-office to foster a collaborative work environment and company culture.
  • Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

Equal Opportunity

  • Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy.
  • Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
  • Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.