Staff data scientist

19 ago - Italia
Jobgether

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 Italy. 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. Accountabilities Design, develop, and implement production-quality statistical and machine learning systems for residential property valuation and related analytical applications. Partner directly with technical leadership to develop innovative valuation methodologies and solve challenging statistical problems that may not have established solutions. Translate research concepts and analytical ideas into scalable, maintainable, production-ready software. Design rigorous evaluation frameworks to measure model performance, reliability, accuracy, and robustness, and continuously improve analytical outcomes. Develop methodologies for complex use cases, including rare and atypical properties, confidence estimation, and uncertainty quantification. Build interpretable ma

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