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# Data Scientist, Home Lending

- **Company:** Lever, Inc.
- **Location:** Palo Alto, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $185,000.0 - $211,000.0
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Software Engineering, SQL Databases, Information Technology
- **Published:** August 10, 2026
- **Apply:** https://jobs.lever.co/wealthfront/c90dc246-578c-42a0-a322-6400f47e97dc/apply

## About the Role

* A Master's or a PhD degree in a quantitative field such as Statistics, Operations Research, Computer Science, Economics or Natural Sciences, with 6+ years of prior experience in a Data Science role. Exceptions to these requirements may be considered on a case-by-case basis.
 * Strong communication and collaboration skills and a record of partnering across organizations to sharpen project requirements. Sometimes this includes re-framing the original request to solve a more general problem with similar effort.
 * Hands-on mathematical and software engineering skills to execute on complex projects.
 * Proficiency in Python and SQL.
 * Desire and ability to mentor junior Data Scientists within the team by exemplifying math, engineering and technical communication skills.

## Description

The Data Scientist in this role will be primarily embedded within Wealthfront's new and quickly-growing Home Lending area. The vision of this area is to enable our clients to grow their wealth through leveraged home ownership., * Build predictive models for potential purchasers or refinancers in our client base to enable efficient and targeted outreach

 * Analyze user behavior in web-based home lending tools and flows to identify patterns and optimize these experiences
 * Interpret and contextualize statistical results for business stakeholders and help translate numbers into recommendations

Expectations

 * Demonstrate a high degree of independence, proactivity, and curiosity - be the first to identify opportunities
 * Formulate project plans with clear rationale, candidate approaches and milestones
 * Communicate clearly and effectively with partners both within and outside the home lending area, through written documents, presentations, and in-person or video meetings
 * Identify key initiatives for the Home Lending area and champion the role of Data Science within these initiatives
 * Employ a high degree of mathematical rigor and best practices for software development.
 * Enhance overall Data Science team execution through hands-on help, design feedback and peer review

 * Depending on experience and interest, management of more junior Data Science team members.


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