---
title: 'Senior Data Scientist at Kiavi'
canonical: 'https://feeny.ai/job/senior-data-scientist-kiavi-remote-93stftvmp313'
type: 'job'
last_seen: '2026-11-06'
---

# Senior Data Scientist at Kiavi

- **Company:** Kiavi
- **Location:** Remote
- **Work type:** remote
- **Posted:** 2026-10-21
- **Last confirmed live:** 2026-11-06
- **Apply:** https://boards.greenhouse.io/kiavi/jobs/8311521?gh_jid=8311521

## Job description

## About the Role

We are looking for a Senior Data Scientist to develop and apply modern machine learning and artificial intelligence across a range of products and business problems. The ideal candidate combines strong computer science foundations, rigorous experimental judgment, and the ability to turn advances in AI into reliable systems with measurable business impact.

The work spans document intelligence, multimodal systems that combine text, images, and structured data, and the adaptation of foundation models using proprietary datasets. These models support complex workflows in regulated financial services, where accuracy, explainability, data governance, reproducibility, and careful evaluation are essential.

You will work across the full machine learning lifecycle: framing problems, developing datasets, building and evaluating models, running large-scale experiments, and partnering with engineering teams to bring successful solutions into production. A central part of the role is turning successful approaches into reusable AI capabilities, patterns, and components that can support multiple teams and use cases rather than creating a separate one-off solution for every problem.

## What You’ll Do

- Identify high-impact opportunities for machine learning and AI in partnership with product, engineering, operations, and business teams.

- Design, train, fine-tune, and evaluate machine learning and deep-learning models.

- Work with foundation models across language, vision, and multimodal applications.

- Develop robust datasets, features, training pipelines, and evaluation frameworks.

- Run efficient experiments on GPU infrastructure and improve model quality, speed, and cost.

- Compare alternative modeling approaches and make clear recommendations based on empirical results and business impact.

- Build reusable modeling components, evaluation frameworks, and implementation patterns that accelerate work across teams and projects.

- Establish clear interfaces and standards that allow other teams to adopt proven AI capabilities without rebuilding the underlying modeling work.

- Build models and supporting systems that are reproducible, testable, and suitable for production use.

- Partner with ML and software engineers on deployment, monitoring, reliability, and ongoing model improvement.

- Communicate results, limitations, and tradeoffs clearly to both technical and non-technical stakeholders.

- Stay current with advances in machine learning and determine when emerging techniques are mature enough to create practical value.

## What We’re Looking For

- Bachelor’s or advanced degree in Computer Science, Machine Learning, Electrical Engineering, Applied Mathematics, or a related technical field, or equivalent practical experience.

- 5+ years of experience developing machine learning solutions, including experience taking models beyond initial experimentation.

- Strong programming and software-engineering skills, particularly in Python.

- Strong foundations in machine learning, statistics, algorithms, data structures, and experimental design.

- Hands-on experience with deep-learning frameworks such as PyTorch or TensorFlow.

- Experience training or fine-tuning transformer-based, vision, or multimodal models.

- Experience working with GPUs and understanding the practical constraints of model training and inference.

- Ability to work with large, complex, and imperfect datasets.

- Demonstrated ability to own open-ended problems from initial investigation through implementation and measurement.

- Demonstrated ability to generalize successful solutions into reusable capabilities rather than one-off models.

- Strong communication and cross-functional collaboration skills.

## Preferred Qualifications

- Master’s degree or PhD in Computer Science, Machine Learning, or a related field.

- Experience with distributed training, model optimization, quantization, or parameter-efficient fine-tuning.

- Experience deploying and monitoring machine learning models in production.

- Familiarity with cloud infrastructure, distributed data processing, and modern ML development platforms.

- Experience building AI systems in regulated, risk-sensitive, or high-stakes environments.

- Contributions to applied research, open-source projects, patents, or production AI products.

What Success Looks Like

- You turn ambiguous business needs into well-defined machine learning problems and measurable success criteria.

- You build models that improve real customer or operational outcomes, not only offline metrics.

- You make thoughtful tradeoffs among model quality, complexity, latency, reliability, and cost.

- You create reusable foundations that allow multiple teams to apply proven AI capabilities to new problems more quickly and consistently.

- You help raise the organization’s technical standards for experimentation, evaluation, and production AI.

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)

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