Data Scientist

Wealthfront
Summary
Join Wealthfront's Data Science Team and contribute to key product and marketing decisions while safeguarding client information and assets. As a Data Scientist, you will be embedded within the Investing area, focusing on projects like analyzing client behavior, opportunity sizing for new products, creating dashboards, building data pipelines, and collaborating on blog posts. You will formulate project plans, collaborate with stakeholders, interpret statistical results, and enhance team execution. This role requires a Master's or PhD in a relevant field with 4+ years of experience, strong communication and collaboration skills, proficiency in Python and SQL, and a desire to mentor junior Data Scientists. Wealthfront offers a competitive salary, equity, bonus, and comprehensive benefits.
Requirements
- A Masters or a PhD degree in Computer Science, Statistics, Operations Research, or Natural Sciences with 4+ years of prior experience in a Data Science role
- Strong communication and collaboration skills and a record of partnering across organizations to sharpen project requirements
- 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
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)
- 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
Preferred Qualifications
Prior experience in financial services or knowledge of finance basics
Benefits
- Estimated annual salary range: $164,000 - $184,000 USD plus equity and a discretionary bonus
- Medical, vision, dental
- 401K plan
- Generous time off
- Parental leave
- Wellness reimbursements
- Professional development
- Employee investing discount
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