Data Scientist
CAD 111,000 - CAD 136,000/year
3 Oct 2025
Canada
Verified by Turrior
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
85 / 100
Offer value
Strong opportunity for career advancement in data science with a mature and supportive environment emphasizing data-driven practices.
- Competitive salary: $111,000 - $136,000 CAD
- Support for personal and professional growth
- Remote work with flexible hours
- Requires significant experience in data science roles
Pros
- Remote work flexibility fosters a healthy work-life balance.
- Competitive salary range ($111,000 - $136,000 CAD) relative to market standards.
- Strong focus on professional development and meaningful contributions.
Cons
- Requires specific technical expertise in machine learning and data tools.
- High expectations for independent performance and self-management.
- Limited input into initial tool selection and long-term project goals.
Who it's for
Mid-Level Professional • Fully Remote
Good fit
- Experienced data scientists
- Collaboration-minded professionals
- Individuals looking for continuous learning opportunities
Not recommended for
- Entry-level candidates without relevant experience
- Those preferring traditional office settings
- Candidates with limited collaboration skills
Motivation fit
Desire to impact business decisions through data analysis.Interest in continuous learning and adapting to new technologies.Eagerness to work collaboratively in cross-functional teams.
Key skills
Statistical analysis and machine learning techniquesSQL proficiency and data transformationEffective communication of technical resultsCollaboration with product and engineering teams
Score: 85/100 AI verified analysis
About the job
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 the 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 the 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
- 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 modeling 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 solutions to address them.
- 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.
What were looking for
- 2+ years of experience in data science roles
- Experience with web analytics tools (GA4, Amplitude, Mixpanel, etc)
- 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.
At Super.com, we believe in supporting our team so they can thrive—both at work and in life.
-Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best. We trust you to get great work done on your terms.
-Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites.
-Everyday Perks: Weekly UberEats credits and travel discounts on Super.com help you enjoy the little things.
-Family-Friendly Benefits: We support growing families with generous parental leave and a flexible return-to-work plan.
-Comprehensive Compensation: Competitive salary, equity options, and top-tier benefits starting on day one.
-Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources.
And that’s just the beginning. Visit our careers page to explore the full range of perks and benefits we offer.
Super.com uses artificial intelligence (AI) technologies to support certain aspects of the recruitment process, such as initial application screening (i.e. work authorization) and technical assessments. These tools are designed to improve the efficiency, consistency, and fairness of candidate evaluations. All other assessments and final hiring decisions are conducted with human involvement. Candidates may request a human review of any AI-assisted outcome by contacting talent@super.com.
Super.com is an equal opportunity employer. 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.
As a remote-first organization we use benchmarking data reflective of your geographical areas to ensure our compensation package is competitive based on where you reside. Your TA partner will confirm which range applies to your location as part of the hiring process.
Canada
Tier 1: $111,000 - $136,000 CAD
- Greater Toronto Area (City of Toronto, York Region, Durham Region, Peel Region, Halton Region)
- Metro Vancouver (City of Vancouver, North Shore, Burnaby, New Westminster, Tri-Cities, Fraser Valley Edge, South of the Fraser River, and Richmond)
Tier 2: $106,000 - $129,000 CAD
- All other Regions and Municipalities
USA
$117,000 - $154,000 USD
