Data Scientist, Algorithms - Rider Pricing (Optimization)

Lyft; Mississauga; On-site; CAD 108,000 - 135,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Scientist, where you'll leverage your expertise in optimization and data analysis to shape critical business decisions. In this role, you will work closely with engineers and product managers, tackling complex mathematical problems in a dynamic environment. This innovative firm offers a collaborative atmosphere, where your contributions will directly impact the pricing strategies in the ridesharing industry. If you are passionate about data-driven decision-making and enjoy solving challenging problems, this opportunity is perfect for you.

Benefits

Extended health and dental coverage

Mental health benefits

Family building benefits

Child care and pet benefits

Health Care Savings Account

RRSP plan

Flexible paid time off

18 weeks paid time off for new parents

Subsidized commuter benefits

Qualifications

• Ph.D. in Operations Research or related fields required.
• 2+ years experience in tech companies and optimization models.

Responsibilities

• Collaborate with teams to frame mathematical problems.
• Design and analyze experiments to drive data-informed decisions.

Skills

Optimization

Data Analysis

Python

Mathematical Problem Solving

Communication Skills

Education

Ph.D. in Operations Research

Related quantitative fields

Tools

Production Coding Environment

Data Visualization Tools

Job description

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data Science is at the heart of Lyft’s products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems by leveraging optimization and inference to shape critical business decisions. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.

We are hiring a Senior Data Scientist to join the Pricing team. The Pricing team owns the models and software systems that determine the prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment. In this role, you will report to a Data Science Manager.

Responsibilities:

• Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context.
• Prioritize and lead deep dives into our data to uncover new product and business opportunities.
• Being familiar with production code; collaborate with Software Engineers to implement algorithms and models in production.
• Design, implement, and analyse different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization.
• Establish metrics that measure the health of our products, as well as rider and driver experience.
• Drive collaboration and coordination with cross-functional teams.
• Provide coaching and technical guidance for other teammates.

Experience:

• Ph.D. in Operations Research, or other quantitative fields or related work experience.
• 2+ years professional experience in technology companies.
• Proven experience with building and evaluating optimization models.
• Proficiency with Python and working in a production coding environment.
• Passion for solving unstructured and non-standard mathematical problems.
• End-to-end experience with data, including querying, aggregation, analysis, and visualization.
• Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem.

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits.
• Mental health benefits.
• Family building benefits.
• Child care and pet benefits.
• Access to a Lyft funded Health Care Savings Account.
• RRSP plan to help save for your future.
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service.
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits.

Lyft proudly pursues and hires a diverse workforce. 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. Please contact your recruiter now if you wish to make such a request.

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. 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 Toronto area is CAD $108,000 - CAD $135,000. 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.