Grupago is a company that uses AI to scale small business credit and payments worldwide, focusing on micro-businesses in the developing world.
The company has launched a credit card in Mexico and has thousands of customers, with plans to expand into payments and small business loans.
The vision is to automate every part of the business using AI, including acquisition, underwriting, credit line upgrades, and collections.
The team consists of a small group of talented engineers and business leaders, including a CEO/co-founder with a successful background in VC and fintech.
The role of Data Scientist & Machine Learning Engineer involves leading machine learning engineering, overseeing the buildout of agentic systems, and conducting data analytics to inform business decisions.
The position is remote but may require occasional travel to Silicon Valley.
Requirements:
The ideal candidate should have 5-10+ years of proven experience in building and optimizing machine learning models, preferably related to consumer credit risk.
Strong recommendations are required to validate the candidate's experience.
The candidate must be highly experienced in SQL, Python, and key machine learning and data science libraries and analytical tools.
Fluency in Spanish is preferred but not mandatory.
Experience in a highly entrepreneurial early-stage startup environment is essential.
Benefits:
The position offers a competitive salary, bonus, and equity compensation in the form of stock option grants.
Employees will receive paid time off and holidays.
Working at an early-stage fast-moving startup provides unique opportunities for growth and impact.
