Data and its proper use is crucial to that vision and the data science team plays a fundamental role in understanding and interpreting those data sources.

The Wealthfront data science team creates data products to deliver personalized financial product experiences, develops best in class investment algorithms, and analyzes our rich financial and behavioral data to make key business decisions. The team draws from a variety of backgrounds in Computer Science & Engineering, Statistics, Economics, Math, Operations Research, and Financial Engineering. We derive strength from this diversity and are constantly learning and teaching each other in a down-to-earth and dynamic environment. We are neither too big where you would be just another cog in the system, nor are we too small that none of our efforts can be realized.

As a Data Scientist in Wealthfront’s Data Science organization, you’ll be responsible for improving the quality of our decisions using data and the scientific method. Your work will generate tools and insights that inform product and business decisions throughout the company and across the product lifecycle, from ideation and research to launch and iteration. You will mentor and collaborate with your data science colleagues with a focus on technical skills and career development. We are fortunate to work with experienced product managers and engineers that have worked on products at companies like Facebook, Google, Twitter and Apple. This is an opportunity to learn from some of the most experienced operators in the startup world and to further an important and meaningful mission. Our Data Science team focuses on product analytics (for the product areas of Investments and Banking), A/B Testing, growth/marketing analytics, and risk analytics (fraud, credit).

What you'll do

• Work closely with cross-functional teams of product managers and engineers, translating open-ended business issues into data questions, identifying practical approaches including A/B testing to answer them, and carrying out timely and well-documented analyses that influence our product and company strategy
• Design and develop data products to assist consumers with decisions around investments, banking, and financial planning
• Continuously look for, and execute upon, opportunities to improve the quality of our data, infrastructure and products
• Understand and communicate a data-driven picture of our clients, product and business 
• Promote automation of repetitive tasks and the creation of tools over ad hoc analyses, making your insights available to anyone that can benefit from them

What we're looking for

• Knowledge of Python and SQL toolchain to access, transform, visualize, and model business data
• A firm foundation in data analysis basics including regression and classification models, experiment design, time series modeling and hypothesis testing
• Ability and empathy to explain technical and statistical work to business stakeholders
• Interest and ability to map business requirements and priorities to technical projects
• Interest in continuous learning and mentoring others
• BS, MS, or PhD in computer science, mathematics, statistics, economics or related field

Everyone across the financial spectrum deserves to live secure and rewarding lives. In order to successfully serve clients across the United States, the Wealthfront team is focused on hiring team members with a diverse range of backgrounds, experiences and perspectives. 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.

About Wealthfront

Our first chapter was about transforming the investment advisory business. We focused on unlocking access to low cost investing for delegators - people who were underserved by high fee and human financial advisors. We built the first automated portfolio that allows you in seconds to invest in a personalized portfolio of thousands of companies for a remarkably low fee, which resulted in attracting more than $25 billion of our client’s hard earned savings, created the robo-advisor category and transformed the broader industry.

Now, we’ve embarked on expanding into an adjacent opportunity to transform the digital self-directed brokerage space. This focus enables us to empower a dramatically wider audience to build long-term wealth - people who are eager to learn about investing by making their own investment decisions, but need guidance. In the last few years, several financial technology companies have made it incredibly accessible and engaging to trade in individual stocks, but because of their transaction based business models, these apps keep people focused on the day-to-day gyrations of the market leading to short-term thinking and behaviors. As a result, millions of people are investing their hard earned savings in a handful of stocks which is inconsistent with building long-term wealth. We believe our vision serves their needs far better and that we can extend our core philosophy of embracing diversification, managing risk, minimizing fees and taxes and taking a long-term view, into self-directed investing. We believe this is an ideal opportunity to leverage our strength of building simple, easy-to-use products that offer a delightfully engaging experience to build long-term wealth.