Title : Product Data Scientist Location : Remote Mexico Industry Experience: Banking / Financial Services – Required Consumer Lending / FinTech 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. During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will only share your interview, transcription, or summary with persons whose expertise or technology is necessary to process your application, evaluate your fitness for a position, and administer or support the tool.

We will not sell your personal information or disclose it to any third party for their marketing purposes.

📌 Data Science Expert (México)
🏢 Ampstek
📍 México