Master's or PhD in Computer Science, Statistics, Operations Research, or Natural Sciences., 4-8+ years of experience as a Data Scientist., Proficiency in Python and SQL., Strong foundation in practical Statistics and machine learning..
Key responsibilities:
Model marketing costs based on various factors like channel, geography, and demographics.
Use statistical models to forecast revenue at different levels and granularities.
Create reusable libraries for statistical analysis and forecasting.
Collaborate with marketing to define initiatives and communicate technical insights.
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Wealthfront integrates investing and saving products to help young professionals build long-term wealth in any market condition. Through software, we deliver high-yield savings through partner banks, diversified ETF and bond ETF investing, zero-commission stock investing, and low-cost loans to help both sophisticated and new investors learn, lower costs, and grow wealth.To learn more please visit www.wealthfront.com or download the app on the App Store or Google Play.Disclosures: https://bit.ly/3NFsXzg wlthfrnt.co/m/linkinbio
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 marketings 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.
Responsibilities
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 (clientlevel, cohortlevel, geolevel, 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 wellcrafted 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.
Requirements
Masters or PhD degree in Computer Science, Statistics, Operations Research, or Natural Sciences, with 48+ 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.
Estimated annual salary range: $164,000 $184,000 USD plus equity and a discretionary bonus.
Benefits include medical, vision, dental, 401K plan, generous time off, parental leave, wellness reimbursements, professional development, employee investing discount, and more!
About Wealthfront
Here at Wealthfront, our mission is to create a financial system that favors people, not institutions. We do this by leveraging technology to build powerful, lowcost, and easytouse financial products that help modern investors grow and manage their money.
We started with the ambition to transform the investment advisory business. By automating strategies typically reserved for the wealthy, we unlocked access to high quality investment advice for a digitallynative generation that was underserved by traditional institutions. Since then, weve expanded to a full suite of products designed to help our clients turn their savings into longterm wealth, including:
• A Cash Account that, through our partner banks, offers one of the highest annual percentage yields on uninvested cash in the industry, while providing instant and secure access to your money with no account fees and a full suite of checking features.
• A zerocommission Stock Investing Account with 50+ handpicked collections that help DIY investors discover new companies and make smarter investing decisions.
• Multiple automated investing portfolios designed to unlock tax savings through sophisticated strategies like fixed income, taxloss harvesting, and direct indexing—which we offer at industryleading low costs and accessible minimums.
Our awardwinning products have attracted over 1 million clients who trust us with more than $85 billion of their hard earned savings—and were far from done. If you’re inspired to help us reshape the financial industry as we create our next chapter, let’s talk!