Remotely
pythonmachine learningmodel evaluationstatisticsdataproduction gradeinterpretabilityuncertainty
Job Description
📋 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 and atypical properties, confidence
- Build interpretable machine learning systems that provide transparent and defensible results for
🎯 Requirements
- Strong professional background in machine learning and statistics, with experience applying
- Demonstrated experience building and deploying production-quality machine learning systems rather
- Excellent Python programming skills and strong software engineering fundamentals.
- Experience with testing, version control, modular architecture, maintainable code, and other
- Strong understanding of statistical modeling, interpretable machine learning, optimization, and
- Ability to reason from first principles and solve ambiguous, open-ended problems where established
🎁 Benefits
- Compensation range of $225,000–$250,000 per year.
- Opportunity to work on high-impact statistical and machine learning systems used in residential
- Direct collaboration with senior technical leadership on challenging and open-ended analytical
- Hands-on ownership of production machine learning systems and next-generation valuation
- Opportunity to influence technical standards, engineering practices, hiring, and the long-term
- Significant potential for increased technical leadership responsibilities as the team expands.
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