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Data Science, Decisions - Airports

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Lyft

12d ago

  • Job
    Full-time
    Mid Level
  • Consulting
  • Toronto
  • Quick Apply

AI generated summary

  • You need a degree in a quantitative field, 3+ years in data science, proficiency in SQL and Python, and strong communication skills to collaborate effectively.
  • You will analyze data, collaborate with teams, build models, design experiments, monitor performance, and establish metrics to enhance growth, efficiency, and driver experience.

Requirements

  • Experience
  • 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, analytics, or management consulting role
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization
  • Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
  • Proficiency in SQL and Python
  • Strong oral and written communication skills, and ability to collaborate with cross-functional partners

Responsibilities

  • Leverage data and analytic frameworks to identify opportunities for growth and efficiency
  • Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
  • Construct and fit statistical, machine learning, or optimization models
  • Design and analyze online experiments; communicate results and act on launch decisions
  • Develop analytical frameworks to monitor business and product performance
  • Establish metrics that measure the health of our products, the business, as well as the driver experience

FAQs

What is the primary mission of Lyft?

Lyft's mission is to improve people’s lives with the world’s best transportation.

What role does Data Science play at Lyft?

Data Science is central to Lyft's products and decision-making, leveraging data and analytical thinking to shape products and business strategies.

What are some key responsibilities of the Data Scientist on the Airports team?

Responsibilities include leveraging data to identify opportunities for growth, collaborating with cross-functional teams, constructing statistical models, designing and analyzing experiments, and developing frameworks to monitor performance.

What kind of problems will the Data Scientist be tasked with solving in this role?

The Data Scientist will tackle problems such as efficiently matching drivers and riders at airports, forecasting ride demand, predicting ride wait times, and enhancing the way ride information is displayed to drivers.

What qualifications are required for this position?

A degree in a quantitative field (advanced degrees preferred) and 3+ years of relevant experience in data science, analytics, or management consulting is required, along with proficiency in SQL and Python.

Are there any specific skills emphasized for this role?

Strong analytical skills, the ability to influence and collaborate across teams, excellent communication skills, and end-to-end experience with data handling are emphasized.

What benefits does Lyft offer to its employees?

Lyft offers extended health and dental coverage, mental health benefits, family building benefits, paid time off, sick days, and paid parental leave, among other benefits.

Is there a specific schedule for in-office work?

Yes, employees are expected to work in the office three days per week, specifically on Mondays, Thursdays, and one additional team-specific day.

How does Lyft ensure a diverse and inclusive workplace?

Lyft is committed to hiring a diverse workforce and provides equal employment opportunities without discrimination of any kind, actively promoting a healthy and safe workplace.

Is there accommodation available for applicants with disabilities?

Yes, accommodation for persons with disabilities will be provided upon request during the application and hiring process in accordance with applicable law.

Ride by ride, we’re reimagining the world’s best transportation.

Transportation
Industry
5001-10,000
Employees
2012
Founded Year

Mission & Purpose

Lyft was founded in 2012 by Logan Green and John Zimmer to improve people’s lives with the world’s best transportation, and is available to approximately 95 percent of the United States population as well as select cities in Canada. Lyft is committed to effecting positive change for our cities by offsetting carbon emissions from all rides, and by promoting transportation equity through shared rides, bikeshare systems, electric scooters, and public transit partnerships.