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Principal Data Scientist - Data Asset Evaluation & Strategic Partnership
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Credit Risk
How You'll Make an Impact:
- Build industry-leading machine learning models for managing credit and fraud risks
- Leverage multiple complex data sources such as credit bureau reports and customer supplied information at large scale to optimize approve/decline and credit line assignment decisions
- Collaborate with engineers to deploy your models into a production environment
Skills That Will Help You Thrive:
- 3 - 6 years of work experience in fintech, finance, or other high impact fields applying statistical and machine learning predictive techniques
- Expert knowledge in one of the statistical programming languages such as Python, and database languages such as SQL
- Strong communication skills – ability to clearly and succinctly communicate technical subject matter to other team members and senior management
What We Offer:
- The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's lives.
- Flexible time off, comprehensive health coverage, competitive salary, paid parental leave, and other wellness benefits.
- A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts through Perkspot.
Prosper
Prosper was founded in 2005 as the first peer-to-peer marketplace lending platform in the U.S. They have helped more than 2 million people gain access to affordable credit with over $28 billion in loans originated through its platform. Prosper has a diverse culture that rewards accountability and cross-functional teamwork, encouraging innovative thinking.