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.

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.

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