Remote jobs in Mexico

About the role

Our partner is looking for a Staff Data Scientist based in Mexico. This is a high-impact opportunity for a senior data science professional to help shape the future of statistical modeling and machine learning in residential real estate valuation. You will work closely with executive technical leadership to solve complex, open-ended statistical and engineering problems. The role combines hands-on development with the creation of new valuation methodologies and production-grade analytical systems. This role is ideal for a technically strong, curious problem solver who enjoys turning novel analytical ideas into trusted software.

What you'll bring

• Strong professional background in machine learning and statistics, with experience applying advanced analytical techniques to complex business or technical problems.
• Demonstrated experience building and deploying production-quality machine learning systems rather than working exclusively in research or experimental environments.
• Excellent Python programming skills and strong software engineering fundamentals.
• Experience with testing, version control, modular architecture, maintainable code, and other practices required for reliable production software.
• Strong understanding of statistical modeling, interpretable machine learning, optimization, and rigorous model evaluation.
• Ability to reason from first principles and solve ambiguous, open-ended problems where established methodologies may not exist.
• Strong analytical and problem-solving skills, with an ability to develop elegant and defensible solutions to difficult statistical and engineering challenges.
• Excellent communication skills, including the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
• Collaborative approach to solving challenging technical problems, with the ability to give and receive constructive technical feedback.
• Ability and interest in mentoring colleagues, contributing to technical standards, and helping shape a growing Data Science organization.
• A senior or staff-level mindset, with the technical depth and ownership required to influence modeling, engineering, and organizational direction.