Wealthfront is hiring a
Data Scientist

Summary

Join the Wealthfront Data Science Team as a Growth Data Scientist to utilize rich financial and behavioral data to influence key product and marketing decisions. The team is focused on acquiring new clients and deepening relationships with existing ones through creative initiatives.

Requirements

• A Master's or a PhD degree in Computer Science, Statistics, Operations Research, or Natural Sciences with 4+ years of prior experience in a Data Science role
• Prior experience in Growth or Marketing
• Prior experience analyzing complex experiments, including developing data insights and data backed recommendations for stakeholders
• Strong communication, storytelling 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

Responsibilities

• Demonstrate an owner’s mindset in formulation, execution, communication and timing of your projects
• Analyze and explain A/B test experiment results. Investigate why the experiment was a success or a failure. Discover client segments for whom the experiment worked unusually well or otherwise
• Suggest follow ups for recently concluded initiatives and experiments. Create and present rationales for questions including whether the experiment should be continued, and what should be different in the next iteration
• Work closely with Product, Design, Engineering and User Research members on the Growth Team to craft a long term (quarterly) learning plan and subsequently execute your part in that plan
• Collaborate with cross functional stakeholders to come up with feasibility of an experiment, experiment structure and opportunity sizing/impact of the experiment to guide the team’s roadmap
• Work with Data platform teams to procure required (but unavailable) data
• Enhance overall Data Science team execution through hands-on help, design feedback and peer review

Benefits

• Medical
• Vision
• Dental
• 401K plan
• Generous time off
• Parental leave
• Wellness reimbursements
• Professional development
• Employee investing discount