Logo of Huzzle

Data Scientist, Algorithms - Rider Pricing

image

Lyft

8d ago

  • Job
    Full-time
    Entry, Junior, Mid & Senior Level
  • Data
    Research & Development
  • Toronto
  • Quick Apply

AI generated summary

  • You need a Ph.D. or related experience, strong optimization and statistical skills, proficiency in Python and SQL, and expertise in data analysis, experimentation, and communication with teams.
  • You will analyze data, design experiments, establish product metrics, collaborate with cross-functional teams, guide peers, and uncover growth opportunities through data insights.

Requirements

  • Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience.
  • Passion for solving unstructured and non-standard, ambiguous mathematical problems by leveraging expertise in one or multiple fields.
  • Strong skills in optimization, statistics, and causal inference.
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization.
  • Proficiency with Python, or another interpreted programming language like R or Matlab
  • Strong communicator. Able to coordinate with several teams of data scientists to deliver on complex initiatives.
  • Strong business sense and understanding of experimentation methodologies.
  • Proficiency in SQL - able to write structured and efficient queries on large data sets.
  • Experience in online experimentation and statistical analysis.
  • Strong oral and written communication skills, and ability to collaborate with and influence 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
  • 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, as well as rider and driver experience
  • Provide coaching and technical guidance for the team
  • Prioritize and lead deep dives into our data to uncover new product and business opportunities
  • Facilitate and foster data-driven and informed decision making and prioritization

FAQs

What is the main focus of the Rider Pricing team at Lyft?

The Rider Pricing team is responsible for the models and software systems that determine the prices shown to riders, ensuring competitive pricing and efficient financial trade-offs.

What kind of methodologies does the Rider Pricing team utilize?

The team employs a wide range of methodologies including causal inference, optimization, and reinforcement learning to achieve their goals.

What kind of background is required for this Data Scientist position?

A Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields, or related work experience is required.

What programming languages are preferred for this role?

Proficiency in Python or another interpreted programming language such as R or Matlab is required.

Are strong SQL skills necessary for this position?

Yes, proficiency in SQL is necessary as candidates must be capable of writing structured and efficient queries on large data sets.

What kind of experience is needed in relation to experimentation?

Candidates should have experience in online experimentation and statistical analysis.

How important are communication skills for this role?

Strong oral and written communication skills are crucial, as the role involves collaboration and influencing cross-functional partners.

What benefits does Lyft offer for this position?

Lyft offers extended health and dental coverage, mental health benefits, family building benefits, paid time off, paid parental leave, and access to a Health Care Savings Account among others.

How many paid sick days are provided in this role?

Employees are entitled to 10 paid sick days per year.

What is the expected in-office work schedule?

Team members will be expected to work in the office three days per week on Mondays, Thursdays, and a third team-specific day.

Is there flexibility for remote work at Lyft?

Yes, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

Does Lyft support diversity in the workplace?

Yes, Lyft proudly pursues and hires a diverse workforce and is committed to equal employment opportunities without discrimination.

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.