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Wealthfront

Automated wealth management via robo-advisors

Data Scientist - Marketing

Data ScienceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Master's 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.

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, including tracking project priority and progress 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.

Desired Qualifications

  • Experience in a Marketing-facing role is preferred, but not required.

About the Company

Wealthfront

Automated wealth management via robo-advisors

Wealthfront is a fintech firm that uses robo-advisors to manage investments for long-term growth. It offers a high-yield cash account (5.00% APY) through partner banks for short-term savings, a diversified bond portfolio for dividends and tax efficiency, and a stock discovery/trading platform for quick equity ideas. The company earns advisory fees taken from client investment returns. Its goal is to make wealth management easy and scalable by providing automated, easy-to-use tools for saving, investing, and growing money.

Company size
201-500
Company stage
IPO
Headquarters
Palo Alto, CA
Founded
2011

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