Staff Data Scientist

Triwill Group; Spain (TX); On-site; USD 81,000 - 127,000; Full time

Job summary

Triwill Group, on behalf of a partner company, is seeking a Staff Data Scientist based in Spain to shape residential real estate valuation through statistical modeling and interpretable ML. You will work with executive leadership to build production-grade analytic systems, develop valuation methodologies, and mentor growing teams, influencing long-term technical direction.

This role emphasizes impactful analytics over deep learning, with solutions used by consumers, financial stakeholders, and

Qualifications

• Strong background in statistics and machine learning.
• Experience in building production-grade data analytics systems.

Responsibilities

• Develop statistical models and interpretable ML solutions for residential real estate valuation.
• Collaborate with executive leadership to guide modeling strategy and production deployment.

Job description

Description:

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Scientist based in Spain.

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.
Your work will directly support products and platforms used by consumers, financial stakeholders, and professional appraisers across the United States.
The focus is on interpretable machine learning, statistical modeling, optimization, uncertainty estimation, and reliable production systems rather than deep learning or LLM research.
As the Data Science organization grows, you will also help establish technical standards, mentor future team members, and influence its long‑term direction.
This role is ideal for a technically strong, curious problem solver who enjoys turning novel analytical ideas into trusted software.