Data Scientist, Lifecycle 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 Lifecycle (LC) Marketing team. The objectives of the LC Marketing team are maximizing lead conversion and optimizing client engagement. The team addresses these goals by designing and executing personalized campaigns delivered via Emails, InApp merchandising, and push notifications.

The set of potential projects for this role includes (but is not limited to) client segmentation, campaign design and analysis, and client value modeling. A successful Lifecycle Marketing Data Scientist employs a combination of economic intuition, first-principles mathematical modeling, statistics (including causal inference) and machine learning.

A key desired trait for this role is an ability to collaboratively create experiments based on clients’ hypothesized pain points, aspirations, and moments of delight. 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.

• Suggest and analyze Lifecycle Marketing campaigns rooted in clients’ delight and friction.
• Employ and exemplify rigor in mathematical analyses and sound design principles in software development.
• Collaborate with the Lifecycle 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.

• 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.
• Desire 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 - $184,000 plus Equity and a discretionary bonus.

• medical
• vision
• dental
• 401K plan
• generous time off
• parental leave
• wellness reimbursements
• professional development
• employee investing discount
• more!

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…