Senior Data Scientist — Home Lending: Predictive Modeling

Wealthfront; San Francisco (CA); On-site; USD 185,000 - 211,000; Full time

Job summary

Wealthfront is seeking a Data Scientist embedded in the Home Lending area to build predictive models and analyze user behavior to optimize the lending experience. You will translate statistical results into actionable business insights and collaborate with cross‑functional partners.

The role requires mentoring junior data scientists, strong communication, and hands‑on math and software engineering skills, with 6+ years in data science and a Master’s/PhD in a quantitative field.

Qualifications

• Master's or PhD in a quantitative field with 6+ years of data science experience.
• Strong communication and cross‑functional collaboration skills.
• Hands‑on mathematical and software engineering skills for complex projects.
• Proficiency in Python and SQL.

Responsibilities

• Build predictive models for purchasers or refinancers to enable targeted outreach.
• Analyze user behavior in home lending tools and flows to optimize experiences.
• Interpret and contextualize statistical results for business stakeholders and translate numbers into recommendations.

Skills

Python

SQL

Communication

Mentoring

Statistical modeling

Education

Master's or PhD in Statistics, OR, CS, Economics or Natural Sciences

Job description

Wealthfront is seeking a Data Scientist embedded in the Home Lending area to build predictive models and analyze user behavior to optimize the lending experience. You will translate statistical results into actionable business insights and collaborate with cross‑functional partners.

The role requires mentoring junior data scientists, strong communication, and hands‑on math and software engineering skills, with 6+ years in data science and a Master’s/PhD in a quantitative field.