At the company, 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 prospect to thrive.
Data and analytics are at the heart of the company's products and decision-making. The Metrics team sits in the Central Market Management organization and owns the business metrics that leaders use to run the marketplace. We define these metrics, build and manage the tools and dashboards that make them reliable and easy to access, and drive consistent, standardized definitions across the organization.
We are looking for a Data Scientist to join the Metrics team and help shape the company'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 along the way. We want an intellectually curious person with strong attention to detail, a track record of analytical problem-solving, and skilled communication.
You will report to a Data Science Manager.
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
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 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
Benefits: Extended health and dental coverage options, along with life insurance and disability benefits
Mental health benefits
Family building perks
Child care and pet benefits
Access to a the company funded Health Care Savings Account
RRSP plan with company match to help save for your future
In addition to provincial observed holidays, salaried team members are covered under the company'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
the company is proud to support recent 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 perks and the company ride credits
the company is committed to creating an inclusive workforce that fosters belonging. the company 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. the company 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.
the company 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. the company 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 the company 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 is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
the company may use artificial intelligence to screen applicants, however, the company employees make the ultimate selection and hiring decisions.
This job fills an existing vacancy.

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📌 Data Science, Metrics (Ontario)
🏢 United States Digital Space
📍 Ontario