Note: The job is a remote job and is open to candidates in USA. Super.com is a company focused on maximizing lives for both customers and team members. They are seeking a Senior Data Scientist to lead the design and delivery of data-driven solutions, working closely with cross-functional teams to solve complex business problems.
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 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
Skills
- 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
Benefits
- Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best.
- Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites.
- Everyday Perks: Weekly UberEats credits and travel discounts on SuperTravel
- Family-Friendly Benefits: We support growing families with generous parental leave and a flexible return-to-work plan.
- Comprehensive Compensation: ... 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.
Company Overview
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