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Super

Cashback-driven savings and credit-building fintech

Senior Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

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

Responsibilities

  • 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 in 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, and 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, including A/B testing 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.

About the Company

Super

Cashback-driven savings and credit-building fintech

Super.com is a savings-focused app that combines travel deals, cashback, and financial services in one mobile platform. Users book discounted hotels and travel, earn cashback on purchases, and access financial products; the SuperCash card offers cashback and reports payments to major credit bureaus to help build credit, while Super+ provides enhanced rewards and exclusive perks. It differentiates itself by merging travel savings with everyday savings and credit-building tools in a single ecosystem and by reporting payments to credit bureaus. Its goal is to help consumers save money, improve their financial health, and build credit through integrated, easy-to-use financial experiences.

Company size
1,001-5,000
Company stage
Series D
Total funding
$257.4M
Headquarters
San Francisco, CA
Founded
2016

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