Data Scientist

Job Description

Job Description

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

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

Tier 2 : $106,000 - $129,000 CAD

USA

$117,000 - $154,000 USD

At Super.com, we believe in supporting our team so they can thrive—both at work and in life.

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.