Senior Applied Scientist, Property Analytics

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $175k - $225k / year

⏰ Full Time

🟠 Senior

🧬 Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Kiavi

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

💼 Consulting

🏥 Healthcare

🏗️ Construction

💰 $158M Debt Financing on 2023-01

Consulting • Healthcare • Construction

Kiavi is a technology-driven financial company that provides fast and reliable financing solutions for real estate investors. Specializing in short-term 'fix-and-flip' loans, rental property financing, and new construction loans, Kiavi empowers both emerging and experienced real estate investors by offering competitive rates, high leverage, and efficient processes. With the use of an advanced technology platform, Kiavi simplifies and accelerates the loan application and approval process, allowing investors to manage their investments with ease and confidence. The company operates across multiple states and offers various resources to support investor growth.

📋 Description

• Lead the end-to-end design, architecture, development, and deployment of state-of-the-art automated valuation modeling (AVM) systems for novel lending products • Architect and refine machine learning, deep learning, and statistical models for asset valuation using spatial-temporal trends, macroeconomic factors, market liquidity, and property risk dynamics • Establish quantitative frameworks for continuous model performance assessment, monitoring, and automated retraining across changing real estate cycles • Build analytical tools and frameworks for cross-functional teams across risk, underwriting, and capital markets • Partner with data infrastructure and MLOps engineering teams to enhance data capabilities, build feature stores, and streamline real-time inference infrastructure • Design data attributes and feature representations using structured, unstructured, and multimodal data sources • Perform exploratory data analysis, evaluate frontier AI capabilities, and recommend improvements to decisioning frameworks and valuation accuracy • Refactor and optimize analytical solutions and algorithmic components for scalability, reliability, and execution efficiency • Lead technical direction, mentor team members, and partner with engineering, product, business, Credit Risk Management, and Capital Markets stakeholders

🎯 Requirements

• Ph.D. or Master's degree in a quantitative discipline (e.g., Computer Science, Data Science, Statistics, Economics, Applied Mathematics, Machine Learning) with 5+ years of industry experience (or 3+ years with a Ph.D.) building and deploying machine learning models in production • Proven track record of developing statistical and machine learning models at an account, customer, or real estate asset level • Solid understanding and hands-on application of advanced machine learning techniques, deep learning, spatial analytics, and AI capabilities • Strong production-level programming skills in Python, SQL, and R • Demonstrated experience in technical leadership, cross-functional collaboration, and mentoring junior team members • Excellent oral and written communication skills with the ability to explain complex technical, algorithmic, and mathematical concepts clearly to non-technical stakeholders and executive leadership • Hands-on experience developing, evaluating, and deploying Automated Valuation Models (AVMs) or automated appraisal systems • Exposure to time-to-event/survival analysis, financial econometric modeling, or spatial-temporal forecasting • Experience handling and modeling unstructured data, including computer vision or natural language processing applications in real estate • Proficiency with distributed computing frameworks (e.g., Spark) and modern deep learning frameworks (e.g., PyTorch, TensorFlow) • Experience with Monte Carlo simulations, Bayesian inference, or causal machine learning • Familiarity with MLOps best practices, cloud architecture (AWS/GCP), feature stores, and model serving infrastructure • Progress towards or completion of relevant quantitative/financial certifications (e.g., FRM or CFA)

🏖️ Benefits

• Bonus • Benefits • Secure identity verification process using biometric and device validation • Equal Opportunity Employer • E-Verify used to confirm identity and employment eligibility of new hires

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