Senior Data Scientist, Home Lending

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🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Wealthfront

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

💸 Finance

💳 Fintech

☁️ SaaS

💰 $69.7M Convertible Note on 2022-09

Finance • Fintech • SaaS

Wealthfront is a financial technology company specializing in automated investment services and financial planning tools. It offers a range of services including automated bond ladders, cash management with a competitive annual percentage yield, and comprehensive long-term investment strategies utilizing diversified index funds. Wealthfront's platform is recognized for its ease of use and efficient automation in managing savings, investments, and retirement funds. The company's offerings include FDIC-insured cash accounts, advisory services, tax-loss harvesting, and personalized investment portfolios. Wealthfront aims to help individuals grow their wealth through accessible, low-cost financial solutions tailored to individual risk preferences and financial goals.

📋 Description

• Build predictive models for potential purchasers or refinancers in the client base to enable efficient and targeted outreach • Analyze user behavior in web-based home lending tools and flows to identify patterns and optimize experiences • Interpret and contextualize statistical results for business stakeholders and translate numbers into recommendations • Identify opportunities and formulate project plans with rationale, candidate approaches, and milestones • Communicate with partners within and outside the home lending area through written documents, presentations, and in-person or video meetings • Identify key Home Lending initiatives and champion Data Science’s role in them • Apply mathematical rigor and software development best practices to complex projects • Enhance Data Science team execution through hands-on help, design feedback, and peer review • Depending on experience and interest, manage more junior Data Science team members

🎯 Requirements

• Master's or 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 may be considered case by case • Strong communication and collaboration skills, with experience partnering across organizations to sharpen project requirements • Hands-on mathematical and software engineering skills for complex projects • Proficiency in Python and SQL • Desire and ability to mentor junior Data Scientists by exemplifying math, engineering, and technical communication skills

🏖️ Benefits

• Equal opportunity employer • Diversity-valuing workplace