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Personal loans based on your potential.

Growth Modeling Lead

$100k – $150k • No equity
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It’s a fascinating time to be working in growth. The sheer amount of data available has led to quantitative and academic breakthroughs. Our Growth team not only aspires to help expand Upstart’s reach to the millions of borrowers without access to affordable credit, we’re also energized by the prospect of breaking ground in our field.

This role will tackle some of the hardest questions facing advertisers and user acquisition teams today, starting with those involving our Direct Mail program (which also happens to be our largest acquisition channel)! Such questions include:

* How do you build predictive models to target the audiences most likely to need and get approved for loans?
* Using 200 million rows of data with cookie-level information about every interaction a user has with Upstart, how do you estimate the impact of each online and offline impression a person receives on the individual’s ultimate conversion?
* How do you incorporate future spend decisions as you advise the team on the best way to allocate more than $50 million in annual spend across online, offline acquisition channels this month?
* How do you build an infrastructure that will allow for regular and efficient testing of new, alternative datasets?
* Which dimensions are most valuable in a clustering analysis to design creative and targeting strategies?
* How do you design experiments to test the marginal impact of each piece of mail on different customer segments, then use your findings to build actionable targeting models?
* To Bayesian or to frequentist? That is the question.


* Experience building predictive statistical and/or machine learning models
* Comfort working as a “full-stack” growth analyst to scope projects, write and functionalize code, run tests, surface and visualize results, and monitor outcomes
* Ability to contextualize complex model outputs into actionable business decisions and experiments
* Advanced R, SQL and/or Python abilities
* Minimum of Bachelor’s degree in statistics, mathematics, computer science or related field
* 4+ years of experience in related technical field  

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