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 and improve analytical outcomes.
• Develop methodologies for complex use cases including uncertainty estimation and confidence
• Build interpretable ML systems with transparent results for consumers and professionals.

🎯 Requirements

• Strong ML and statistics background with experience solving real-world problems.
• Experience building and deploying production ML systems, not just research.
• Excellent Python programming and solid 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 ambiguous problems.

🎁 Benefits

• Compensation range of $225,000–$250,000 per year.
• Work on high-impact ML systems used in residential real estate valuation.
• Direct collaboration with senior technical leadership.
• Hands-on ownership of production ML systems and valuation methodologies.
• Influence technical standards, engineering practices, and hiring.
• Opportunities for increased leadership as the team grows.