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 rare/complex use cases, confidence estimation, and uncertainty
• Build interpretable ML systems with transparent results for consumers and professionals.

🎯 Requirements

• Strong background in ML and statistics 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 model evaluation.
• Ability to reason from first principles and tackle open-ended problems.

🎁 Benefits

• Compensation range of $225,000–$250,000 per year.
• High-impact ML/statistical work 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 on technical standards, engineering practices, and hiring.
• Potential for increased leadership responsibilities as the team grows.