Remote Data Scientist, Growth

Description:

• The Wealthfront Data Science Team utilizes rich financial and behavioral data to influence key product and marketing decisions, as well as to safeguard clients’ information and assets.
• The Data Scientist will be embedded within Wealthfront’s Growth Team, which focuses on acquiring new clients and deepening relationships with existing clients.
• Responsibilities include designing creative initiatives that cut across product lines, such as testing new in-app features, discovering new channels of client acquisition, launching email campaigns, and targeted incentives based on insights about clients and the economic environment.
• A successful Growth Data Scientist will have a curiosity for discovering new insights about client behavior and will enjoy analyzing data to understand client actions.
• Technical tools used in this role include hypothesis testing, mathematical transforms of variables, data mining, natural language processing (NLP), and machine learning (ML).
• Potential project areas include analyzing client signup flow, creating client groups, developing ML models for estimating incentive revenues or costs, and Named Entity Recognition using NLP.
• Responsibilities also include demonstrating an owner’s mindset in project formulation, execution, communication, and timing.
• The Data Scientist will analyze and explain A/B test results, suggest follow-ups for initiatives, and collaborate with cross-functional stakeholders to guide the team’s roadmap.

Requirements:

• A Master's or PhD degree in Computer Science, Statistics, Operations Research, or Natural Sciences with 4+ years of prior experience in a Data Science role; exceptions may be considered on a case-by-case basis.
• Prior experience in Growth or Marketing is required.
• Experience analyzing complex experiments and developing data insights and recommendations for stakeholders is necessary.
• Strong communication, storytelling, and collaboration skills are essential, with a record of partnering across organizations to refine project requirements.
• Hands-on mathematical and software engineering skills are needed to execute complex projects.
• Proficiency in Python and SQL is required.
• A desire and ability to mentor junior Data Scientists by exemplifying math, engineering, and technical communication skills is important.

Benefits:

• The estimated annual salary range is $165,000 - $185,000 USD, plus equity and a discretionary bonus.
• Benefits include medical, vision, and dental coverage.
• A 401K plan is offered along with generous time off and parental leave.
• Wellness reimbursements and professional development opportunities are provided.
• Employees receive an investing discount and additional benefits.