- Locations
- Remote
- Palo Alto
- Last Published
- Apr. 25, 2025
- Sector
- Fintech
- Function
- Data Science
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. Potential project areas for this role include (but are not limited to): • Analysis of client and prospect behavior such as funnel drop-off, cross-product-adoption, deposit patterns, asset allocation, and product usage • Opportunity sizing for new products • Creating dashboards to visualize and track product and area metrics • Building pipelines to ingest and organize data • Collaborating on blog posts discussing Wealthfront products and general investing • Research and development of predictive models to forecast product interest and demand
Responsibilities
- Formulate project plans with clear rationale, candidate approaches and milestones.
- Employ a high degree of mathematical rigor and best practices for software development.
- Collaborate with cross functional stakeholders to identify key initiatives for the Investing area and champion the role of Data Science within these initiatives.
- Formulate project plans with clear rationale, candidate approaches and milestones.
- Guide execution of project plans with a combination of delegation and hands-on work.
- Interpret and contextualize statistical results for business stakeholders and help translate numbers into recommendations.
- 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).
Requirements
- A Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Operations Research, or Natural Sciences with 4+ 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.