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About the role
Collaborate with engineers to deploy your models into a production environment California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA.
What they're looking for
- Advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field
- Expert knowledge in one of the statistical programming languages such as Python, and database languages such as SQL
- Solid understanding of coding best practices and model documentation
- Strong communication skills – ability to clearly and succinctly communicate technical subject matter to other team members and senior management
- Strong interpersonal skills – collaborate with people across functions and develop strong relationships
- Ability to work unsupervised in fast-paced environment and prioritize among parallel projects
More about this role
Prosper is seeking a Data Scientist for the Data Science team under our Credit Risk Analytics vertical. You will become a core contributor with machine learning expertise on the credit risk team and deliver results that directly impact our business.
- Build industry-leading machine learning models for managing credit and fraud risks
Leverage complex data sources (e.g., credit bureau reports, customer-supplied information) at scale to develop credit and fraud strategies to improve the credit performance and optimize risk decisions.
Collaborate with engineers to deploy your models into a production environment
Propose and execute solutions to various problems within business constraints
Use responsible AI technique following regulatory requirements and lending best practices
Help the team with developing tools and workflow solutions to increase data science productivity
Actively monitor the credit risk models in production
Extract the most value out of data to significantly impact our key business metrics
Assess the potential usefulness and validity of machine learning algorithms and features through various data sources
Conduct ad-hoc analysis related to risk management, investor...
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