Data Scientist at Super.com

About Super.com

We started Super.com to help maximize lives–both the lives of our customers and the lives of our employees– 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 Team

This role is part of our newly formed Risk & Fraud Automation team, where evangelizing and building a strong culture around risk and fraud management will be a crucial part of our mission. 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 of 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, working alongside product managers, software engineers, and designers within our mission-aligned team (MAT) model. This structure provides the opportunity to gain deep experience and context into specific business problems and verticals, enabling rapid growth into subject matter experts. This position offers a dynamic and impactful opportunity to take ownership of your work by conducting in-depth analyses and deploying your solutions into production environments. You will be instrumental in uncovering insights, developing predictive models, and supporting strategic decision-making processes across the organization.

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 modeling and analysis.
• Collaborate closely with product, engineering, and business teams to translate complex problems into effective data science solutions.
• Autonomously identify business challenges that can be addressed with impactful data solutions and develop appropriate models or algorithms.
• Design and execute personalization experiments such as A/B tests to evaluate hypotheses, measure product changes, and inform strategic decisions.
• Develop, prototype, and validate machine learning models to ensure robustness and accuracy.
• Create clear visualizations and reports to communicate technical findings and model results to non-technical stakeholders.
• Follow best practices for reproducibility, model evaluation, documentation, and version control within data science workflows.
• Support initiatives to improve data quality, feature engineering processes, and ongoing model monitoring practices.
  
  

Qualifications

• Minimum of 2+ years of experience in data science roles, preferably within risk and fraud management domains.
• Proficiency with web analytics tools such as GA4, Amplitude, Mixpanel, etc.
• A technical degree in data science, computer science, analytics, or AI.
• Proven ability to autonomously build, evaluate, and deploy predictive models.
• Intermediate SQL skills with the ability to create, clean, and transform datasets, ideally with DBT.
• Strong Python programming skills with working knowledge of machine learning packages such as sklearn, pandas, numpy, tensorflow, etc.
• Excellent communication skills, with the ability to explain complex concepts clearly and collaborate effectively across teams.
  
  

Benefits

• Competitive salary ranging from $106,000 to $154,000 annually, depending on location and experience.
• Comprehensive health and dental insurance coverage.
• Opportunities for professional development and career growth.
• Flexible work arrangements and supportive team environment.
• Participation in innovative projects that have a direct impact on risk and fraud mitigation strategies.
• Paid time off and employee wellness programs.
  
  

Equal Opportunity

Super.com is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.