7 hours ago

Data Scientist

Super.com

Hybrid
Full Time
CA$130,000
Hybrid

Job Overview

Job TitleData Scientist
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered SalaryCA$130,000
LocationHybrid

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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 Scientist team members are embedded, 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 We’re 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.

Benefits at Super.com

  • 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.

At Super.com, we are proud to leverage cutting-edge artificial intelligence (AI) technology to make our hiring process smarter, faster, and more inclusive. By integrating AI tools into our recruitment, we enhance our ability to identify top talent efficiently while promoting fairness and consistency for every applicant.

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.

Key skills/competency

  • Statistical Analysis
  • Machine Learning
  • Predictive Modeling
  • Data Transformation
  • SQL
  • DBT
  • A/B Testing
  • Data Visualization
  • Web Analytics (Amplitude, GA4)
  • Python (sklearn, pandas, numpy)

Tags:

Data Scientist
Statistical Analysis
Machine Learning
Predictive Modeling
Data Transformation
A/B Testing
Data Visualization
Exploratory Data Analysis
Model Validation
Feature Engineering
SQL
DBT
Snowflake
Amplitude
GA4
Mixpanel
Python
sklearn
pandas
numpy

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How to Get Hired at Super.com

  • Research Super.com's culture: Study their mission to "maximize lives", values, and remote-first approach. Explore employee testimonials on LinkedIn and Glassdoor to understand their data-driven ethos and collaborative MAT model.
  • Tailor your Data Scientist resume: Highlight experience in statistical analysis, machine learning, and specific tools like Snowflake, DBT, Amplitude, and Python libraries. Quantify your impact on data-driven decision-making and model development.
  • Showcase your data science portfolio: Prepare to discuss projects demonstrating your expertise in predictive modeling, A/B testing, data cleaning, and visualization, relevant to e-commerce or consumer tech.
  • Master technical skills for Data Scientist: Solidify your SQL skills, especially with DBT, and programming proficiency in Python, focusing on sklearn, pandas, numpy, and tensorflow. Be ready for deep technical discussions and problem-solving.
  • Prepare for behavioral interviews: Emphasize your autonomous problem-solving, collaborative communication, and ability to translate business challenges into data solutions, aligning with Super.com's fast-paced, impact-driven environment.

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