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Data Scientist, Marketing

The Wealthfront Data Science team utilizes our rich financial and behavioral data to influence Marketing, Product and information security decisions. The team draws from backgrounds in Computer Science, Natural Sciences, Statistics, Operations Research, Economics and Finance.


The Data Scientist in this role will be primarily embedded within Wealthfront’s Marketing team. The Marketing team aims to acquire new clients and increase awareness of Wealthfront's brand and products among potential customers. The team addresses these goals by designing and executing targeted advertising campaigns for Wealthfront products. 


The potential set of projects for this role includes (but is not limited to) campaign performance analysis, paths to conversion, incrementality estimation, media mix modeling, client segmentation, AB Experiment design and client revenue modeling. 


A key desired trait for this role is an advanced ability to reduce business problems to mathematical language and communicate results to the broader team. An ideal candidate will also act as a mentor to junior team members and demonstrate an ability to explain technical concepts in a simple language.


Responsibilities
  • Provide hands-on technical leadership to a team of data scientists working in the Marketing area, translating business problems into Data Science tasks.
  • Employ and exemplify rigor in mathematical analyses and sound design principles in software development. 
  • Collaborate with the Marketing team to define quarterly and yearly initiatives. 
  • Turn initiatives into projects with clear rationale, candidate approaches and milestones.
  • Execute planned projects through hands-on work and delegation. This includes tracking priority and progress of projects in weekly meetings.
  • Articulate technical information, including assumptions, methodologies, and outcomes to specialists across disciplines. Translate hunches to hypotheses and numbers into recommendations.
  • Absorb and articulate the Marketing strategy and project rationales to Data Scientists. 


Requirements
  • A Masters or PhD degree in Computer Science, Statistics, Operations Research or Natural Sciences, with 4-8+ years of prior experience as a Data Scientist.
  • Proficiency in Python and SQL
  • A strong foundation in practical Statistics including the use of causal inference.
  • Strong mathematical and software engineering skills.
  • Fluency in long and short form oral and written communication.
  • Ability to sharpen or reframe project requirements through effective collaboration. 
  • Strong desire and ability to mentor junior Data Scientists by exemplifying math, engineering and technical communication skills.
  • Experience in a Marketing facing role preferred, but not required.


Estimated annual salary range: $164,000 - $211,000 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

$187500 / YEARLY (est.)
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$164000K
$211000K

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What You Should Know About Data Scientist, Marketing, Wealthfront

Join the Wealthfront team as a Data Scientist in Marketing, where you'll dive into our rich financial and behavioral data to influence crucial marketing strategies! Located in beautiful Palo Alto, CA, with options for US-based remote work, this role is all about bringing your expertise to a passionate team that strives to acquire new clients and enhance brand recognition. Imagine leveraging advanced analytical skills to impact targeted advertising campaigns that drive success for Wealthfront's innovative financial products! Your role will involve delving into projects such as campaign performance analysis, client segmentation, and more. If you have a knack for translating complex business challenges into clear mathematical models, you're just the person we need! You'll collaborate closely with the marketing team, guiding the direction of quarterly initiatives while also mentoring junior scientists and simplifying technical concepts. We're looking for someone with a Master’s or PhD in a relevant field, solid experience as a Data Scientist, and skills in Python and SQL. With a competitive salary range of $164,000 - $211,000 USD, plus equity, generous benefits, and the chance to make a real impact on the financial system, this is more than just a job—it's your opportunity to reshape financial services for a digitally-native generation. At Wealthfront, you won't just hold a position; you'll be part of a movement to transform how money management is viewed and accessed. Ready for the challenge?

Frequently Asked Questions (FAQs) for Data Scientist, Marketing Role at Wealthfront
What does a Data Scientist in Marketing at Wealthfront do?

As a Data Scientist in Marketing at Wealthfront, you will analyze our financial and behavioral data to drive marketing strategies that aim to acquire new clients and enhance brand visibility. Your role includes tasks like campaign performance analysis, client segmentation, and incrementality estimation, ensuring that our marketing initiatives are data-driven and effective.

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What are the qualifications needed for a Data Scientist in Marketing at Wealthfront?

To qualify for the Data Scientist role in Marketing at Wealthfront, you should have a Master’s or PhD in Computer Science, Statistics, Operations Research, or Natural Sciences. Additionally, having 4-8+ years of experience in data science, proficiency in Python and SQL, strong statistical knowledge, and excellent communication skills are essential for success.

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Can you explain the mentorship aspect of the Data Scientist role at Wealthfront?

In the Data Scientist position within Wealthfront's Marketing team, you will not only be working on impactful projects but also mentoring junior team members. You'll share your expertise in mathematics, engineering, and technical communication, helping to elevate their skills and understanding of data science.

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How does Wealthfront's marketing team utilize data science?

Wealthfront's marketing team leverages data science to execute targeted advertising campaigns effectively. By employing analysis methods like media mix modeling and A/B testing, the Data Scientist in this role ensures decisions are backed by data, ultimately guiding marketing strategies that align with company goals.

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What type of projects can I expect to work on as a Data Scientist in Marketing at Wealthfront?

As a Data Scientist in Marketing at Wealthfront, you will engage in various projects that include campaign performance analysis, client revenue modeling, incrementality estimation, and designing A/B experiments. Each project is an opportunity to apply your skills to real-world marketing challenges and make a significant impact.

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Common Interview Questions for Data Scientist, Marketing
Can you describe your experience with statistical analysis in marketing?

When answering this question, focus on specific projects where you've utilized statistical methods to drive marketing decisions. Discuss the tools you used, the types of analyses conducted, and how your findings influenced campaign strategies or improved performance.

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How do you approach translating business problems into data science tasks?

In your response, explain your process for identifying key business questions, breaking them down into measurable components, and constructing data-driven hypotheses. Emphasize the importance of collaboration with stakeholders to ensure alignment on project objectives.

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What methods do you use for client segmentation in marketing?

Detail the segmentation techniques you utilize, such as cluster analysis or demographic profiling. Discuss how these methods have helped refine marketing strategies by targeting specific client groups with tailored messages or campaigns.

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What experience do you have with A/B testing?

Outline your approach to A/B testing, including the design of test parameters, the metrics used for evaluation, and how you interpret results. Sharing specific outcomes that led to positive marketing changes can reinforce your expertise.

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Explain a time when your data-driven recommendation was implemented and achieved success.

Provide an example where your analysis led to actionable insights. Highlight the initial challenge, your analytical approach, the implementation of your recommendation, and the measurable outcomes that resulted, demonstrating your impact on marketing strategies.

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How do you ensure data integrity and accuracy in your analyses?

Discuss the steps you take to validate data sources, the checks performed during analysis, and how you communicate any data quality issues to relevant stakeholders. Strong focus on attention to detail and sound analytical practices will bolster your answer.

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Describe your proficiency with Python in data analysis.

Mention specific libraries you frequently use, such as Pandas, NumPy, or SciPy, and give examples of how you've employed them in past projects. Highlight any scripts or models you've developed that showcase your coding skills and their impact on data science tasks.

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How do you collaborate with marketing teams to align data projects?

Explain your communication strategies, such as regular check-ins or workshops, that foster collaboration. Mention how you ensure marketing objectives are at the forefront of data project planning, thereby creating a synergy between data analysis and marketing goals.

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What role does mentorship play in your work as a data scientist?

Share your belief in the importance of fostering growth in junior team members through mentorship. Discuss your methods for providing guidance, sharing knowledge, and creating an inclusive environment that encourages learning and development.

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How do you stay updated with advancements in data science related to marketing?

Discuss your commitment to continuous learning through resources like webinars, online courses, industry conferences, and collaboration with peers. Mention specific areas of data science that you're currently exploring or wish to incorporate into your work.

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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 21, 2025

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