Data Scientist, Investing

Employment Type: Full-time

Estimated Annual Salary Range: $185,000 - $211,000 USD plus equity and a discretionary bonus.

Position Overview

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 Computer Science, Statistics, Operations Research, 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 Investing area. The vision of this area is to enable our clients to confidently grow, preserve, and manage their wealth by making the most effective investing strategies more convenient, accessible, and affordable.

Responsibilities

• Formulate project plans with clear rationale, candidate approaches, and milestones.
• Interpret and contextualize statistical results for business stakeholders and help translate numbers into recommendations.
• Collaborate with cross-functional stakeholders to identify key initiatives for the Investing area and champion the role of Data Science within these initiatives.
• Employ a high degree of mathematical rigor and best practices for software development.
• Guide execution of project plans with a combination of delegation and hands-on work.
• Enhance overall Data Science team execution through hands-on help, design feedback, and peer review.
• Identify and formulate steps to automate repetitive manual work (toil).
• Depending on experience and interest, management of more junior Data Science team members.

Requirements

• A Master's or a PhD degree in Computer Science, Statistics, Operations Research, 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.
• Prior experience in financial services or knowledge of finance basics is helpful but not required.
• 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.

Benefits

• 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 soph