Staff Data Scientist

📋 Description

• Design, develop, and implement production-quality statistical and machine learning systems for
• Partner directly with technical leadership to develop innovative valuation methodologies and solve
• Translate research concepts and analytical ideas into scalable, maintainable, production-ready
• Design rigorous evaluation frameworks to measure model performance, reliability, accuracy, and
• Develop methodologies for complex use cases, including rare/atypical properties, confidence
• Build interpretable machine learning systems that provide transparent and defensible results.

🎯 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, maintainable code, and production
• Strong understanding of statistical modeling, interpretable ML, optimization, and model evaluation.
• Ability to reason from first principles and solve ambiguous problems without established

🎁 Benefits

• Compensation range of $225,000–$250,000 per year.
• High-impact ML/statistical systems in residential real estate valuation.
• Direct collaboration with senior technical leadership on challenging problems.
• Hands-on ownership of production ML systems and new valuation methodologies.
• Opportunity to influence technical standards, engineering practices, hiring, and long-term
• Potential for increased leadership responsibilities as the team grows.