Salary Range: 74000 to 134000 (Currency: CAD) (Pay period: per-year-salary)

At Super.com, we’re on a mission to help people save more, earn more, and get more out of life. That goes for both our customers and our team.

For our employees, Super.com is more than just a workplace—it’s an opportunity to grow, make an impact, and unlock your full potential. We invest in learning, celebrate bold ideas, and create pathways for career growth.

We move fast, think big, and always put people first. Your career should be as rewarding as the work you do, and at Super.com, we’re here to make every day Super.

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.

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.

Responsibilities

Apply statistical analysis and machine learning techniques to uncover insights, build predictive models, and support data-driven decision-making
Investigate data trends, patterns, and anomalies; assist in diagnosing issues and identifying opportunities through exploratory data analysis (EDA)
Access, clean, and transform large, raw datasets to prepare them for modelling and analysis.
Collaborate closely with product, engineering, and business teams to translate problems into data science solutions
Autonomously identify business challenges that have impactful data solutions and build the right solution to the problem
Design and execute personalization experiments (e.g., A/B tests) to test hypotheses, measure product changes, and inform business strategies.
Develop, prototype, and validate machine learning models and algorithms.
Create clear visualizations and reports to communicate technical findings and model results to stakeholders.
Follow best practices for reproducibility, model evaluation, documentation, and version control in data science workflows.
Support efforts to improve data quality, feature engineering processes, and model monitoring practices.

Preferred Experience

2+ years of experience in data science roles
Experience with web analytics tools (GA4, Amplitude, Mixpanel, etc)
A technical degree in data science, computer science, analytics, or AI with a proven ability to autonomously build and evaluate predictive models
Intermediate knowledge of SQL with the ability to create clean and transform datasets, ideally with DBT
Collaborative and verbose communication about why and how we approach business questions
Strong programming skills with working knowledge of machine learning packages such as sklearn, pandas, numpy, tensorflow, etc.

We’ve got you covered

- We are remote first: You have the flexibility to work from around the world and the hours that make sense for you– so that you can do your best work while living life on your own terms

- Other perks include: unlimited PTO, recharge days, travel discounts on Travel, Weekly UberEats credit, annual company offsites

- We welcome new family additions with generous parental leave and a flexible return-to-work plan

- Competitive salary packages, equity options, great benefits from day one, wellness budgets, as well as personal and team-level development budgets

- This is just scratching the surface– see our careers site for a more detailed overview of our perks & benefits

We Believe in Equal Opportunity

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Accommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify our Talent Acquisition Partner.

Data Scientist

Super

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