Data Scientist, Wealthfront
Growth
$165-185k
+ Equity + Discretionary bonus
Automated investment management
Job no longer available
Automated investment management
201-500 employees
Job no longer available
$165-185k
+ Equity + Discretionary bonus
201-500 employees
Company mission
To build a financial system that favors people, not institutions.
Role
Who you are
- 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. Exceptions to these requirements may be considered on a case-by-case basis
- 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
What the job involves
- The Wealthfront Data Science Team utilizes our rich financial and behavioral data to influence key product and marketing decisions, as well as to safeguard our clients’ information and assets
- The team draws from backgrounds in Computer Science, Natural Sciences, Statistics, Operations Research and Econometrics
- The Data Scientist in this role will be primarily embedded within Wealthfront’s Growth Team
- The Growth Team is focused on acquiring new clients, as well as deepening Wealthfront’s relationship to existing clients
- The team addresses this mandate by designing creative initiatives that cut across product lines
- These initiatives can include testing new in-app features, discovering new channels of client acquisition, launching email campaigns, or targeted incentives – all based on unique insights about our clients and their interaction with the prevailing economic environment
- A fundamental trait for an effective Growth Data Scientist is curiosity for discovering new insights about client behavior
- This person will enjoy going deep into the data to understand what’s driving client actions, proposing ideas for new projects and for driving clarity on the ‘why’ behind experiment results
- Technical tools used in this role include Hypothesis testing (potentially with atypical distributions), mathematical transforms of variables, data mining, natural language processing (NLP) and machine learning (ML)
- You don't need experience in all of the techniques but must have the ability to pick them up as needed
- Potential project areas for this role include (but are not limited to) analyzing client signup flow, creating client groups according to business rules or automated clustering, creating ML models for estimating incentive revenues or costs and Named Entity Recognition using NLP
- 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
Our take
Wealthfront's platform takes the hassle and stress out of investing, financial planning, borrowing, and saving with automated services and financial advice. Its robo-advisor allows customers to set a financial limit on their accounts, anything above the limit is moved into an investment account or another account chosen by the customer.
Indeed, it has some similarities to round-up apps like Acorn, which round up purchases and put the spare change into savings. There are other companies working on robo-advisors too, such as Morgan Stanley and Betterment.
Nonetheless, with an impressive and steadily increasing list of clients, with more than $50B of assets under its management, Wealthfront achieved Unicorn status in September 2022. Wealthfront is diversifying its offerings, branching into high-interest checking accounts and investment advice.
Steph
Company Specialist at Welcome to the Jungle
Insights
-4% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jan 2018
$75m
SERIES E
Oct 2014
$64m
SERIES D
Total funding: $204.5m
Company benefits
- 401(k)
- Medical/Vision/Dental insurance
- HSA contributions for high deductible plans
- Discretionary time off policy
- 16 weeks of paid parental leave (both parents)
- Flexible working hours
- Monthly wellness reimbursement
Company HQ
University South, Palo Alto, CA
Leadership
Dan Carroll
(CSO)They studied Finance and Entrepreneurship at the University of Arizona before using this expertise to co-found Wealthfront in December 2008.
Andy Rachleff
(Executive Chairman)Prior to Wealthfront, they co-founded and was General Partner of Benchmark Capital, where they were responsible for investing in a number of successful companies including Equinix, Juniper Networks, and Opsware.
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