Data Science, Metrics

United States Digital Space LLC; Toronto; Hybrid; CAD 108,000 - 135,000; Full time

Benefits offered by this job

Health benefits

Mental health support

Family building benefits

Child care benefits

Health Savings Account

RRSP match

Flexible PTO

Parental leave

Commuter benefits

Job summary

United States Digital Space LLC is hiring a Data Scientist to join the Metrics team in Toronto. You will own domain datasets, build data pipelines, and develop business metrics used by leaders and partner teams. The role requires strong SQL, Python or R, and excellent communication.

You will work with product managers, engineers, and operators to translate data into decisions, with executive exposure. Hybrid in-office schedule in Toronto.

Qualifications

• Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering (advanced degrees preferred).
• 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 in Python or R with data science and visualization libraries.
• Strong oral and written communication skills and the ability to collaborate with cross‑functional partners.

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.

Skills

Communication

Analytical thinking

Problem solving

Education

Quantitative degree

Tools

Python

R

SQL

Data Visualization

Job description

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 opportunity 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 benefits
• 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 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 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.