Data Scientist(Financial Domain)
Summary
100% remote contract role for a data scientist in the financial/consumer lending domain. Day to day: design experiments, run causal inference and hypothesis testing, build statistical/ML models, and partner with product teams using SQL plus Python or R, with core overlap in Pacific Time hours.
Title: Data Scientist(Financial Domain)
Location: 100% Remote(PST Timezone working)
Job Type: Contract
About You
5+ years of experience in a hybrid analytics/data science role (e.g., analytics consulting, product data science, applied statistics) with a track record of directly informing product decisions; bachelor’s degree or higher in a quantitative field, or equivalent combination of education and experience
You have strong grounding in statistics and experimentation — hypothesis testing, causal inference, experiment design, and you can explain the difference between a significant result and a meaningful one
You’re fluent in SQL and at least one scripting/statistical language (Python or R), and you’re comfortable enough with data engineering fundamentals (pipelines, transformations, data modeling) to build what you need and partner effectively with engineers on the rest
You can develop, validate, and communicate the tradeoffs of statistical and machine learning models, and you know when a simpler model or a well-designed experiment beats a complex one
You use AI tools in your day-to-day work — for exploratory analysis, documentation, and accelerating routine analytics — and you know when their outputs need scrutiny before they touch a product decision
You think like a consultant: you get to the real question behind the question, structure ambiguous problems, and land on recommendations stakeholders can act on
You have good judgment about rigor versus speed, and you don’t cut corners on measurement integrity just to hit a deadline
You’re a clear communicator who can flex between a technical conversation with engineering and a decision-focused conversation with product and business stakeholders
You’re curious about how data, experimentation, and AI can change what’s possible in consumer lending products, and you’re always looking for a better way to answer the question
Nice to Have
Background in fintech, consumer lending, or home improvement/contractor financing
Experience with CDP platforms, event instrumentation tooling (e.g., Segment, mParticle, Amplitude), or experimentation platforms
Hands-on experience with credit or risk modeling, pricing strategy, or marketing decisioning
Experience with dbt, Airflow, or similar data pipeline/orchestration tools
Prior experience embedded directly with product teams in an agile/scrum environment
Time Zone Requirements
Flexible, with core overlap expected with Pacific Time hours
Thanks
Aatmesh
aatmesh.singh@ampstek.com