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, maintainable, production-ready software.
• Design evaluation frameworks to measure model performance, reliability, accuracy, and robustness.
• Develop methodologies for complex use cases including rare properties, confidence estimation, and
• Build interpretable ML systems for transparent results to consumers and professionals.

🎯 Requirements

• Strong ML and statistics background with experience applying advanced techniques to complex
• Experience building and deploying production-quality ML systems (not just research).
• Excellent Python programming and software engineering fundamentals.
• Experience with testing, version control, modular architecture, and maintainable code.
• Strong understanding of statistical modeling, interpretable ML, optimization, and rigorous
• Ability to reason from first principles and solve open-ended problems.

🎁 Benefits

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