Data Scientist
CA$121,000 – CA$181,000 / yr base salary
Posted 10 Aug 2026
Advertised as “Senior Data Scientist”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
| Base salary | CA$121,000 – CA$181,000 / yr |
|---|
Field of studyAnalytics, Artificial Intelligence, Computer Science, Data Science (or related)
Study levelBachelor's
About Super.com
We started Super.com to help maximize lives–both the lives of our customers and the lives of our team – so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.
We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.
About this Role
Our data scientists are embedded team members, and work alongside PM’s, software engineers and designers in our mission aligned team (MAT) model. This allows our team members to gain deep experience and context into specific business problems and verticals to grow quickly to become subject matter experts. This position offers a dynamic and impactful opportunity to assume ownership of your work as you conduct in-depth analyses and productionize your work.
About this Team
This role is part of our Analytics & Data Science team. Being Data Driven is a core value of Super.com and this team plays a huge part in this. We are long time advocates and users of Snowflake, DBT & Amplitude. This isn’t a place where we are convincing the business the value of data, or just using these tools for the first time. We have maturity in our technical practices, launch a new experiment every day, and are looking for teammates to roll up their sleeves and do high quality data work.
What you’ll be working on:
-
Lead the design and delivery of statistical and machine learning solutions that drive high-impact, data-driven decisions across the business
-
Own complex, ambiguous problems end to end, from framing the question to deploying and monitoring the solution in production
-
Investigate trends, patterns, and anomalies at depth; diagnose root causes and surface opportunities that shape product and business strategy
-
Architect data pipelines to access, clean, and transform large, raw datasets, and establish reusable patterns others can build on
-
Design, implement & monitor business rules for cash flow underwriting and repayment workflows