Title : Product Data Scientist Location : Remote MexicoIndustry Experience: Banking / Financial Services – RequiredConsumer Lending / FinTech preferred5+ 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 experienceYou 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 oneYou'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 restYou 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 oneYou 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 decisionYou're a clear communicator who can flex between a technical conversation with engineering and a decision-focused conversation with product and business stakeholdersYou'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 questionBackground in fintech, consumer lending, or home improvement/contractor financingSegment, mParticle, Amplitude), or experimentation platformsExperience with dbt, Airflow, or similar data pipeline/orchestration toolsPrior experience embedded directly with product teams in an agile/scrum environmentYou will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews.
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