Pay: USD 185,000–211,000/yearPlus bonus, equity — pay source
Desire and ability to mentor junior Data Scientists within the team by exemplifying math, engineering and technical communication skills. Estimated annual salary range: $185,000 - $211,000 USD plus equity and a discretionary bonus. Benefits include medical, vision, dental, 401K plan, generous time off, parental leave, wellness reimbursements, professional development, employee investing discount, and more!
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Work setup: Unconfirmed
Employment: Full-time — employment source
Employment type Full-time
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What you’ll work on

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

From the employer’s posting

Responsibilities 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

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

What you’ll bring

All qualifications

Core experience

Strong communication and collaboration skills and a record of partnering across organizations to sharpen project requirements.
Proficiency in Python and SQL.

Qualification wording

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.

Proficiency in Python and SQL.

Education & alternatives

Requirements - 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.

Tools in this posting

Python
SQL

Source

- 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.

About Wealthfront Corp

Here at Wealthfront, our mission is to create a financial system that favors people, not institutions.

In the employer’s words · Read in context

Job description

View original posting ↗

The Wealthfront Data Science Team utilizes our rich financial and behavioral data to influence key product and marketing decisions, as well as to safeguard our client’s information and assets. The team draws from backgrounds in Statistics, Operations Research, Computer Science, Economics, and Natural Sciences. We value analytical rigor, clear communication, and proactivity. We believe that good ideas can come from anywhere and encourage Data Scientists to pursue self-directed explorations in search of business value.

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.

Responsibilities

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.

Requirements

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.

Estimated annual salary range: $185,000 - $211,000 USD plus equity and a discretionary bonus.

Benefits include medical, vision, dental, 401K plan, generous time off, parental leave, wellness reimbursements, professional development, employee investing discount, and more!

About Wealthfront

Here at Wealthfront, our mission is to create a financial system that favors people, not institutions. We do this by leveraging technology to build powerful, low-cost, and easy-to-use financial products that help modern investors grow and manage their money.

We started with the ambition to transform the investment advisory business. By automating strategies typically reserved for the wealthy, we unlocked access to high quality investment advice for a digitally-native generation that was underserved by traditional institutions. Since then, we've expanded to a full suite of products designed to help our clients turn their savings into long-term wealth, including:

• A Cash Account that, through our partner banks, offers one of the highest annual percentage yields on uninvested cash in the industry, while providing instant and secure access to your money with no account fees and a full suite of checking features.

• A zero-commission Stock Investing Account with 50+ handpicked collections that help DIY investors discover new companies and make smarter investing decisions.

• Multiple automated investing portfolios designed to unlock tax savings through sophisticated strategies like fixed income, tax-loss harvesting, and direct indexing—which we offer at industry-leading low costs and accessible minimums.

Our award-winning products have attracted over 1 million clients who trust us with more than $100 billion of their hard earned savings—and we're far from done. If you’re inspired to help us reshape the financial industry as we create our next chapter, let’s talk!

For more information please visit www.wealthfront.com.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Please review our candidate privacy notice.

Disclosures: All investing involves risk, including the possible loss of principal. Tax-Loss Harvesting benefits vary depending on the client's entire tax and investment profile. Wealthfront doesn’t provide tax advice. The Cash Account is offered by Wealthfront Brokerage LLC (“Wealthfront Brokerage”), Member of FINRA/SIPC. Wealthfront Brokerage is not a bank. We convey funds to partner banks who accept and maintain deposits, provide the variable interest rate, and provide access to FDIC pass-through insurance. Investment management and advisory services–which are not FDIC insured–are provided by Wealthfront Advisers LLC (“Wealthfront Advisers”), an SEC-registered investment adviser. The checking features offered in the Wealthfront Cash Account are provided by Green Dot Bank, Member FDIC. Fees and Eligibility requirements may apply to certain checking features, please see the Deposit Account Agreement for details.

By “award-winning products”, please refer to www.wealthfront.com/reviews for more information. Wealthfront Corporation oversees Total Client Assets and Trusted Clients through Wealthfront Advisers and Wealthfront Brokerage. Wealthfront Advisers and Wealthfront Brokerage are wholly owned subsidiaries of Wealthfront Corporation.

Employment type

Full-time

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Source & posting history

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Source excerpts

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Pay

Desire and ability to mentor junior Data Scientists within the team by exemplifying math, engineering and technical communication skills. Estimated annual salary range: $185,000 - $211,000 USD plus equity and a discretionary bonus. Benefits include medical, vision, dental, 401K plan, generous time off, parental leave, wellness reimbursements, professional development, employee investing discount, and more!

Location & working pattern

Palo Alto, CA

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

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Status in our records: Active
First seen by us: Aug 11, 2026
Recorded sightings: 16
Last seen by us: Oct 12, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Senior Data Scientist, Home Lending