Data Scientist

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.

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.

What you’ll be working on:

• Lead the design and delivery of statistical and machine learning solutions that drive high-impact, data-driven decisions across the business
• Own complex, ambiguous problems end to end, from framing the question to deploying and monitoring the solution in production
• Investigate trends, patterns, and anomalies at depth; diagnose root causes and surface opportunities that shape product and business strategy
• Architect data pipelines to access, clean, and transform large, raw datasets, and establish reusable patterns others can build on
• Design, implement & monitor business rules for cash flow underwriting and repayment workflows
• Partner with product, engineering, and business leaders to translate strategic priorities into data science roadmaps and influence decisions at the leadership level
• Proactively identify the highest-leverage problems worth solving, and build or scope the right solution rather than the obvious one
• Design and run rigorous experimentation programs (A/B and beyond) to test hypotheses, measure product changes, and quantify business impact
• Develop, prototype, validate, and productionize machine learning models and algorithms, balancing accuracy against latency, cost, and maintainability
• Communicate technical findings and model results to senior and non-technical stakeholders through clear visualizations, writeups, and recommendations

What we’re looking for:

• 5+ years of experience in data science roles, with a track record of shipping models that delivered measurable business impact
• Demonstrated ability to own projects independently and lead others through technical ambiguity
• Experience taking models to production and maintaining them (deployment, monitoring, retraining)
• A technical degree in data science, computer science, analytics, or AI, or equivalent applied experience building and evaluating production models
• Strong SQL, including the ability to build clean, performant transformations, ideally with DBT
• Expert programming skills with fluency in the ML stack: sklearn, pandas, numpy, and a deep learning framework such as TensorFlow or PyTorch
• Previous experience in fintech & lending