---
title: 'Senior Applied Scientist, Property Analytics at Kiavi'
canonical: 'https://feeny.ai/job/senior-applied-scientist-property-analytics-kiavi-remote-sx00zcsntsb3'
type: 'job'
last_seen: '2026-11-06'
---

# Senior Applied Scientist, Property Analytics at Kiavi

- **Company:** Kiavi
- **Location:** Remote
- **Work type:** remote
- **Posted:** 2026-11-05
- **Last confirmed live:** 2026-11-06
- **Apply:** https://boards.greenhouse.io/kiavi/jobs/8354664?gh_jid=8354664

## Job description

## THE TEAM

Our Property Analytics team is made up of 360-degree thinkers that analyze complex problems and come up with creative solutions. We love to combine advanced analytics and machine learning skills with deep domain knowledge about the business when creating solutions. You will work with some of the most fascinating data sets in the world, alongside a world-class group of product engineers, sales and marketing leaders, and business operators.

## PURPOSE OF THE ROLE

Figure’s Property Analytics team is seeking a Senior Applied Scientist to join us in our effort to reinvent real estate lending. You will be working alongside engineering, product, and business leaders to tackle complex research and machine learning problems related to automated valuation models (AVMs), asset valuation, and process optimization.

An ideal candidate brings deep expertise in advanced machine learning, statistical modeling, and production-grade AI system architectures. You will lead technical direction, mentor team members, and partner closely with MLOps engineers, Product Managers, Credit Risk Management and Capital Markets subject matter experts to drive select strategic initiatives from initial research to production deployment. If you are keen on joining a dynamic company and solving intellectually challenging problems in a fast-paced environment, please reach out to us.

## KEY RESPONSIBILITIES:

- 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 innovative machine learning, deep learning, and statistical models for asset valuation, incorporating spatial-temporal trends, macroeconomic factors, market liquidity, and property risk dynamics.
- Establish robust quantitative frameworks for continuous model performance assessment, monitoring, and automated retraining across changing real estate cycles.
- Build analytical tools and frameworks to empower cross-functional teams across risk, underwriting, and capital markets.
- Partner closely with data infrastructure and MLOps engineering teams to drive initiatives that enhance data capabilities, build feature stores, and streamline real-time inference infrastructure.
- Design useful data attributes and feature representations, leveraging structured, unstructured, and multimodal data sources (e.g., property photos, listing descriptions, spatial features).
- Perform exploratory data analysis, evaluate frontier AI capabilities, and make strategic recommendations to improve current decisioning frameworks and valuation accuracy.
- Refactor and optimize existing analytical solutions and algorithmic components to improve scalability, reliability, and execution efficiency.

## EXPERIENCE & QUALIFICATIONS:

- 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.

## PREFERRED REQUIREMENTS:

- 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).

Identity Verification Notice: To ensure the security and integrity of our hiring process, all candidates are required to complete a secure identity verification. This process uses biometric and device validation to confirm identity and liveness. All data is handled securely in accordance with our privacy policy.

Kiavi takes a market-based approach to pay, and pay may vary depending on your location. The expected annualized base pay range for this full-time role to be performed remotely is $175,000 - $225,000 base + bonus + benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries. Within the range, the successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Your recruiter can share more about the specific base pay range for your preferred location during the hiring process. Please note that the pay range listed above reflects the base salary only, and does not include the target value of bonus or benefits.

Protect yourself from recruitment scams:

- If you are offered an interview or a role with Kiavi, this will be communicated with you through email, via an official email address ending in @kiavi.com or @lendinghome.com.
- You will never be asked for payments of any kind during the process.
- We also never communicate with candidates via Whatsapp at any point during the recruitment process.
- We won’t ask for personal information or data via text message. If you have any concerns regarding how genuine a text message is, please contact your recruiter.
- You can find our official Kiavi careers [page here](https://www.kiavi.com/careers). We advise you to check that the page details and website addresses match if you have any concerns.

Kiavi is an Equal Opportunity Employer[San Francisco Fair Chance Ordinance Police Code, Article 49](http://sfgov.org/olse/sites/default/files/FileCenter/Documents/11600-Art%20%2049%20Official%20Notice%20Final%20091114.pdf)

We use [E-Verify](https://yellow-bari-48.tiiny.site) to confirm the identity and employment eligibility of all new hires.

## About Kiavi

## Company Overview
- **One-liner**: Kiavi is a leading private lender to residential real estate investors, providing fast, reliable financing for fix-and-flip, rental, and new construction properties using AI-driven technology.
- **Entity Type**: Private (Venture-Backed)
- **Headquarters**: Pittsburgh, Pennsylvania, United States
- **Founded**: 2013 (originally as LendingHome)
- **Founders**: Not publicly listed on current website

## Core Business
- **Primary industry**: Financial Services / Real Estate Finance
- **Target customers**: B2B – residential real estate investors (REIs), from individual flippers to large-scale builders
- **Mission**: To help real estate investors unlock the value of aged homes and revitalize neighborhoods across the country, making real estate investing more accessible and efficient [careers.kiavi.com](https://www.kiavi.com/careers)

## Products & Services
- **Fix-and-Flip / Bridge Loans**: Short-term financing for purchasing and renovating properties, with high leverage and fast closings [kiavi.com](https://www.kiavi.com/loans/fix-and-flip)
- **DSCR Rental Loans**: Flexible, low-rate financing for buy-and-hold rental properties, using debt-service coverage ratio underwriting [kiavi.com](https://www.kiavi.com/loans/rental)
- **Infill / New Construction Loans**: Financing for ground-up construction and infill development projects [kiavi.com](https://www.kiavi.com/loans/infill-new-construction)
- **Jumbo Loans**: Large-scale capital for ambitious projects, with VIP service and significant flexibility [kiavi.com](https://www.kiavi.com/loans/jumbo-loans)

All products are delivered through an online platform that uses real-time data and machine learning to streamline approvals, offering personalized pricing based on 20+ property-specific factors [kiavi.com](https://www.kiavi.com/).

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: $30+ billion in loans originated to real estate investors [kiavi.com](https://www.kiavi.com/)
- **Total Funding**: $2.8 billion across 15 rounds (per LinkedIn) [linkedin.com](https://www.linkedin.com/company/kiavi)
- **Notable Investors/Partners**: Not explicitly listed on current site; past investors include major venture firms (not confirmed in search results)
- **Growth Signals**:
  - 95% of transactions with successful exits (vs. 75% industry average) [kiavi.com](https://www.kiavi.com/)
  - Lends in 49 states + DC [kiavi.com](https://www.kiavi.com/)
  - 100,000+ move-in ready flips, rentals, and new builds funded [kiavi.com](https://www.kiavi.com/)
  - Headcount of 372 employees (+6.4% YoY) [linkedin.com](https://www.linkedin.com/company/kiavi)
  - 4.8 out of 5 stars customer rating [kiavi.com](https://www.kiavi.com/)

## Competitive Advantages
- **AI-powered platform**: Real-time data and machine learning enable faster approvals and personalized pricing, allowing investors to compete with cash buyers [kiavi.com](https://www.kiavi.com/)
- **Proven track record**: 95% successful exit rate significantly above industry average, demonstrating strong underwriting and support [kiavi.com](https://www.kiavi.com/)
- **Dedicated support**: Teams of experts guide borrowers from application through closing and servicing [kiavi.com](https://www.kiavi.com/)
- **Scale and reach**: $30B+ in loans and nationwide presence provide reliability and deep market insights [kiavi.com](https://www.kiavi.com/)

## Strategic Focus
- **Expand lending products**: Continue developing flexible financing options for fix-and-flip, rental, and new construction segments [kiavi.com](https://www.kiavi.com/)
- **Deepen AI and data capabilities**: Enhance automated valuation and underwriting to improve speed and accuracy [kiavi.com](https://www.kiavi.com/)
- **Scale platform**: Grow loan origination volume and market share while maintaining high exit success rates [kiavi.com](https://www.kiavi.com/)
- **Neighborhood revitalization**: Support the effort to renovate aging U.S. housing stock (estimated $25 trillion worth) [linkedin.com](https://www.linkedin.com/company/kiavi)

## Why Work Here
- **Remote-first culture**: Most roles are remote-first, with physical hubs in San Francisco, CA, and Pittsburgh, PA for collaboration, monthly lunches, and town halls [careers.kiavi.com](https://www.kiavi.com/careers)
- **Generous benefits**:
  - Free medical, dental, and vision for employee-only coverage; 75% of premium for dependents [careers.kiavi.com](https://www.kiavi.com/careers)
  - 401(k) with immediate vesting and 100% match on up to 3% of compensation [careers.kiavi.com](https://www.kiavi.com/careers)
  - Unlimited PTO [careers.kiavi.com](https://www.kiavi.com/careers)
  - 12 weeks paid parental leave; 8 weeks medical/caregiver leave [careers.kiavi.com](https://www.kiavi.com/careers)
  - $500 one-time home office stipend + monthly internet/phone allowance [careers.kiavi.com](https://www.kiavi.com/careers)
  - Commuter benefits for on-site roles [careers.kiavi.com](https://www.kiavi.com/careers)
- **Employee Resource Groups (ERGs)**: Kulture (Black professionals), Pride (LGBTQ+), K-Fuego (Latino), ElleTV (women), Health & Wellness – fostering inclusion and community [careers.kiavi.com](https://www.kiavi.com/careers)
- **Growth and development**: Continuous learning opportunities, professional development support, and a culture that values innovation and impact [careers.kiavi.com](https://www.kiavi.com/careers)
- **Employee rating**: 4.2/5 on LinkedIn (233 reviews), with high marks for compensation (4.3) and culture (4.2) [linkedin.com](https://www.linkedin.com/company/kiavi)

## Sources
1. [Kiavi Careers Page](https://www.kiavi.com/careers)
2. [Kiavi Main Website](https://www.kiavi.com/)
3. [Kiavi LinkedIn Profile](https://www.linkedin.com/company/kiavi)
4. [Kiavi Leadership Page](https://www.kiavi.com/leadership)
5. [Kiavi Compensation Page](https://www.kiavi.com/compensation)

## Other roles at Kiavi

- [Borrower Advocate](https://feeny.ai/job/borrower-advocate-kiavi-remote-c4dk1m59hde8)
- [Loan Analyst](https://feeny.ai/job/loan-analyst-kiavi-remote-qxvc3wwxrrsh)
- [Principal Product Manager, Data](https://feeny.ai/job/principal-product-manager-data-kiavi-san-francisco-ca-or-pittsburgh-6qfn1e9njydn) — San Francisco CA OR Pittsburgh, PA
- [Product Manager](https://feeny.ai/job/product-manager-kiavi-remote-tezq4m4ke3c8)
- [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-kiavi-remote-93stftvmp313)
- [Incentive Compensation Manager](https://feeny.ai/job/incentive-compensation-manager-kiavi-remote-smeq3w06z0v5)