Data Scientist & Machine Learning Engineer Grupago uses AI to scale small business credit and payments worldwide. Our vision is to automate every part of our business—from acquisition, to underwriting, to credit line upgrades, to collections—to serve millions of micro-businesses around the world in a scalable and profitable way. We are a small, mission-driven team backed by top venture investors and have raised over $6M in venture capital. This role offers a competitive salary, bonus, and equity compensation.

Responsibilities

Machine Learning engineering — directly add features to and continuously refine and improve our machine learning models.

Agentic systems buildout — oversee the buildout of agentic systems across our business (from acquisition to customer service and collections).

Data analytics — run key analyses to inform the business on profitability, customer segment / risk profiling, funnel and acquisition cost metrics.

The role will entail working closely with the co-founder and CEO, who is also technical and experienced in data science, though you will be primarily responsible for leading the function.

Qualifications

5-10+ years proven experience directly building and optimizing machine learning models — ideally related to consumer credit risk (micro-business loans, credit cards, etc.).

Highly experienced in SQL, Python, and key machine learning and data science libraries and analytical tools.

Ideally fluent in Spanish (nice to have).

Experience working in and thriving in a highly entrepreneurial early-stage startup.

Location & Employment Type Based in Silicon Valley with hybrid in-office requirements (San Mateo) approximately 2-3 days per week. Full-time.

Benefits Equity (stock option grants), competitive compensation and any bonuses, paid time off and holidays.

Learn more Learn more at www.grupago.mx or in English: https://grupago.mx/english/

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