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Data Scientist, Investing

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.


Estimated annual salary range: $164,000 - $184,000 USD plus equity and a discretionary bonus.


Benefits include 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 sophisticated strategies like fixed income, tax-loss harvesting, and direct indexing—which we offer at industry-leading low costs and accessible minimums.


Our award-winning products have attracted over 1 million clients who trust us with more than $80 billion of their hard earned savings—and we're far from done. If you’re inspired to help us reshape the financial industry as we create our next chapter, let’s talk!


For more information please visit www.wealthfront.com.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.



Please review our candidate privacy notice



Disclosures: All investing involves risk, including the possible loss of principal. Tax-Loss Harvesting benefits vary depending on the client's entire tax and investment profile. Wealthfront doesn’t provide tax advice. The Cash Account is offered by Wealthfront Brokerage LLC (“Wealthfront Brokerage”), Member of FINRA/SIPC. Wealthfront Brokerage is not a bank. We convey funds to partner banks who accept and maintain deposits, provide the variable interest rate, and provide access to FDIC pass-through insurance. Investment management and advisory services–which are not FDIC insured–are provided by Wealthfront Advisers LLC (“Wealthfront Advisers”), an SEC-registered investment adviser. The checking features offered in the Wealthfront Cash Account are provided by Green Dot Bank, Member FDIC. Fees and Eligibility requirements may apply to certain checking features, please see the Deposit Account Agreement for details.



By “award-winning products”, please refer to www.wealthfront.com/reviews for more information. Wealthfront Corporation oversees Total Client Assets and Trusted Clients through Wealthfront Advisers and Wealthfront Brokerage. Wealthfront Advisers and Wealthfront Brokerage are wholly owned subsidiaries of Wealthfront Corporation.  

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Average salary estimate

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$164000K
$184000K

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What You Should Know About Data Scientist, Investing, Wealthfront

Join Wealthfront as a Data Scientist in the Investing area and immerse yourself in the captivating world of financial data! Our Data Science Team leverages vast amounts of behavioral and financial information to influence product and marketing decisions and protect our clients' assets. Here, you'll work alongside talented individuals from diverse backgrounds including Computer Science, Statistics, and Economics, all in a collaborative atmosphere that fosters analytical rigor. As you help our clients confidently grow and manage their wealth, you'll dive into exciting projects analyzing client behavior, sizing opportunities for new products, and creating intuitive dashboards to visualize key metrics. You'll not only guide project plans but also engage with cross-functional stakeholders to ensure data science plays a pivotal role in company initiatives. Your strong communication and collaboration skills will help you convey statistical insights meaningfully and automate repetitive tasks for efficiency. If you are passionate about mentoring fellow Data Scientists and are ready to take on challenges using Python and SQL, this could be the perfect opportunity for you. Join us at Wealthfront, where we believe that the best ideas can come from anywhere and are eager to push the boundaries of what’s possible in financial services!

Frequently Asked Questions (FAQs) for Data Scientist, Investing Role at Wealthfront
What are the key responsibilities of a Data Scientist at Wealthfront?

As a Data Scientist at Wealthfront, your primary responsibilities include analyzing client behavior, leading projects that aim to enhance product features, and collaborating across teams to identify key initiatives. You will also build dashboards for tracking essential metrics, create predictive models, and interpret statistical results to guide business decisions.

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What qualifications do I need to apply for the Data Scientist position at Wealthfront?

To apply for the Data Scientist position at Wealthfront, you should have a Bachelor's degree in a relevant field such as Computer Science or Statistics, along with 4+ years of experience in a Data Science role. Proficiency in Python and SQL is essential, while experience in financial services can be beneficial, though it's not mandatory.

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What type of team culture can I expect as a Data Scientist at Wealthfront?

Wealthfront boasts a team culture that values clear communication, analytical rigor, and proactivity. As a Data Scientist, you’ll find a supportive environment that encourages self-directed exploration and collaboration across different backgrounds, allowing innovative ideas to flourish.

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What tools and technologies will I be using as a Data Scientist at Wealthfront?

As a Data Scientist at Wealthfront, you will primarily use tools like Python and SQL for data analysis and model building. You'll also work with data visualization tools to create insightful dashboards and may utilize machine learning libraries for predictive analytics.

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What opportunities for career growth exist for Data Scientists at Wealthfront?

Wealthfront is committed to the professional development of its team members. As a Data Scientist, you will have opportunities to mentor junior staff, participate in significant projects, and engage in a culture that emphasizes continuous learning—creating a strong pathway for career advancement.

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Common Interview Questions for Data Scientist, Investing
Can you describe your experience with data analysis and modeling?

In answering this question, highlight your hands-on experience with data analysis, using specific projects or tools like Python or SQL. Emphasize how your analytical skills have contributed to strategic decisions or enhanced product features.

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How do you approach problem-solving in data science projects?

Discuss your systematic approach to problem-solving, including identifying the problem, gathering relevant data, performing analysis, and deriving actionable insights while collaborating with other teams to ensure alignment with business objectives.

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What challenges have you faced in your previous data science roles?

Share specific challenges you encountered, how you approached them, and the outcomes. This showcases your critical thinking and resilience in overcoming obstacles within projects, which is crucial for a Data Scientist.

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How do you ensure the accuracy and integrity of your data?

Explain your methods for validating data, including the use of checks, audits, and peer reviews. Discuss any tools or protocols you follow to maintain data quality, which is vital for informed decision-making.

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Can you give an example of a successful collaboration in your previous work?

Share a detailed example where you worked with cross-functional teams to achieve a goal. Highlight your role in fostering communication and how collaborative efforts led to enhanced project outcomes.

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What techniques do you use for data visualization?

Discuss any specific tools or frameworks you are familiar with for creating data visualizations, emphasizing how effective visual communication aids in presenting insights to stakeholders, especially in a financial context.

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What statistical methods are you most comfortable using?

List the statistical methods you are skilled in, such as regression analysis, hypothesis testing, or machine learning techniques. Explain how you have applied these methods to solve real-world problems.

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How do you stay updated with the latest trends in data science and finance?

Mention any resources you use to keep your skills relevant, such as online courses, workshops, or industry publications. This demonstrates your commitment to continual learning and growth in the field.

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What role do you believe data science plays in enhancing customer experience?

Articulate how data science can personalize and improve client interactions by using predictive analytics to offer tailored services, helping wealth management firms like Wealthfront making informed decisions that benefit customers.

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Why do you want to work as a Data Scientist at Wealthfront?

Reflect on Wealthfront’s mission and innovative approach to investment. Share how it aligns with your personal values and professional aspirations, showcasing your enthusiasm for contributing to their goals.

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Wealthfront is building a financial system that favors people, not institutions.

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Full-time, remote
DATE POSTED
March 25, 2025

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