Staff Data Scientist

📋 Description

• Design, develop, and implement production-quality ML systems for residential property valuation and
• Partner with leadership to create valuation methodologies and solve challenging statistical
• Translate research concepts into scalable, production-ready software.
• Design evaluation frameworks to measure model performance and robustness.
• Develop methodologies for rare properties, confidence estimation, and uncertainty quantification.
• Build interpretable ML systems with transparent results for users.

🎯 Requirements

• Strong ML and statistics background with production deployment experience.
• Proven track record delivering production ML systems, not only research.
• Excellent Python programming and software engineering fundamentals.
• Experience with testing, version control, modular design, and maintainable code.
• Deep 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.
• Opportunity to work on high-impact statistical and ML systems in 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, and team growth.
• Potential for increased leadership responsibilities as the team expands.