Title: Product Data Scientist Location: Remote Mexico
Industry Experience: Banking / Financial Services – Required
Consumer Lending / Fin

Tech preferred

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’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

Background in fintech, consumer lending, or home improvement/contractor financing
Segment, mParticle, Amplitude), or experimentation platforms
Experience with dbt, Airflow, or similar data pipeline/orchestration tools
Prior experience embedded directly with product teams in an agile/scrum environment

You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews.

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📌 Data Scientist I (México)
🏢 Ampstek
📍 México