Data Scientist, Wealthfront
Marketing
$164-184k
Automated investment management
Be an early applicant
Automated investment management
201-500 employees
Be an early applicant
$164-184k
201-500 employees
Company mission
To build a financial system that favors people, not institutions.
Role
Who you are
- 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 and machine learning
- 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
- Experience in a Marketing facing role preferred, but not required
What the job involves
- The Wealthfront Data Science team utilizes our rich financial and behavioral data to influence Marketing, Product and information security decisions
- The team draws from backgrounds in Computer Science, Natural Sciences, Statistics, Operations Research, Economics and Finance
- The Data Scientist in this role will be primarily embedded within Wealthfront’s Marketing team
- The Marketing team aims to acquire new clients and increase Wealthfront’s brand awareness through targeted advertising campaigns
- A key focus area for this role is understanding and quantification of our marketing's financial impact: what it costs to acquire customers and how quickly they become profitable (payback period)
- This means modeling, accurately and explainably, how market, demographic, and economic factors affect the cost and the profitability outcomes
- Your work will directly impact creation of efficient campaigns that hit our financial targets
- This role requires an advanced ability to translate economic problem statements into a mathematical framework, solve the resulting math problem, and communicate results to the team, highlighting insights and possible improvements
- An ideal candidate will also act as a mentor to junior team members and demonstrate an ability to explain technical concepts in a simple language
- Model the dependence of marketing costs on factors including marketing channel, geography, demographics, seasonality and macroeconomics (e.g. interest rates)
- Using statistical models to forecast revenue generation at different granularities (client-level, cohort-level, geo-level, quarterly, yearly etc) and by above demographic and economic factors
- Provide accuracy as well as explainability to cost and revenue forecasts; this might require building different models for the same outcome
- Create well-crafted and reusable libraries for statistical analyses and forecasting
- Collaborate with the Marketing team to define initiatives and experiments addressing marketing efficiency
- Articulate rationale, candidate approaches and milestones for projects
- Articulate technical information, including assumptions, methodologies, and outcomes to specialists across disciplines. Drive effective collaboration via clear presentations and shareable written docs
- Translate hunches to hypotheses and numbers into recommendations
- Absorb, articulate and influence marketing strategy
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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 11 more jobs at Wealthfront