Staff Data Scientist

📋 Description

• Design, develop, and implement production-quality statistical and machine learning systems for
• Partner with technical leadership to develop valuation methodologies and solve challenging
• Translate research concepts into scalable, production-ready software.
• Design evaluation frameworks to measure model performance, reliability, accuracy, and robustness.
• Develop methodologies for complex use cases including uncertainty quantification.
• Build interpretable machine learning systems for consumers and professional users.

🎯 Requirements

• Strong professional background in machine learning and statistics with experience applying advanced
• Experience building and deploying production-quality ML systems, not just research.
• Excellent Python programming skills and strong software engineering fundamentals.
• Experience with testing, version control, modular architecture, and maintainable code for reliable
• Strong understanding of statistical modeling, interpretable ML, optimization, and rigorous model
• Ability to reason from first principles and solve ambiguous problems where established methods may

🎁 Benefits

• Compensation range of $225,000–$250,000 per year.
• Opportunity to work on high-impact ML systems used in residential real estate valuation.
• Direct collaboration with senior technical leadership on challenging problems.
• Hands-on ownership of production ML systems and valuation methodologies.
• Influence technical standards, engineering practices, hiring, and long-term direction of the Data
• Significant potential for increased technical leadership as the team expands.