Data Scientist, Algorithms Pricing (Optimization)

Lyft; Toronto; Hybrid; CAD 108,000 - 135,000; Full time

Job summary

A leading ridesharing company in Toronto is seeking a New Grad Data Scientist for their pricing team. You will collaborate on crucial pricing models and strategies. This role offers a hybrid work environment with a competitive salary between CAD $108,000 and CAD $135,000, alongside comprehensive benefits including health coverage and flexible paid time off.

Benefits

Extended health and dental coverage

Mental health benefits

Family building benefits

Child care and pet benefits

Health Care Savings Account

RRSP plan

18 weeks of paid time off for new parents

Subsidized commuter benefits

Qualifications

• Ph.D. in Operations Research, or related work experience.
• Experience with building and evaluating optimization models.
• Proficiency with Python and in a production coding environment.

Responsibilities

• Partner with cross-functional teams to frame problems mathematically.
• Uncover new product and business opportunities through data.
• Collaborate with engineers to implement algorithms in production.

Skills

Optimization models

Python proficiency

Data analysis

Verbal communication

Collaboration

Education

Ph.D. in Operations Research or related field

Tools

Production coding environment

Job description

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.

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 New Grad 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
• Be 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
• 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 verbal 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 is committed to creating an inclusive workforce that fosters belonging. 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 if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. 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 isCAD $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.