Senior Data Scientist - Credit & Lending
Mercury- Full Time
- Senior (5 to 8 years), Junior (1 to 2 years)
Candidates should possess 8+ years of software engineering experience and a proven track record of successfully architecting and taking machine learning systems to production, along with experience designing and building multiple complex, scalable, high throughput, low latency streaming/batch processing machine learning pipelines for both data flows and algorithm execution. They should also demonstrate the ability to explain and present analyses and machine learning concepts to a broad technical audience, and exhibit an extreme bias towards action.
The Senior Data Scientist will drive a roadmap that applies Machine Learning technologies to content discovery, engagement, recommendation, prediction, and risk underwriting, collaborating with the leadership team to identify opportunities for using ML and driving solutioning in areas of Credit. They will work with stakeholders to showcase the benefits of utilizing the system and drive product adoption, designing scalable and deployable machine learning solutions, defining performance and validation metrics, and coaching the team to achieve these goals, while introducing and owning the process of model building and the infrastructure behind it.
Digital payments platform for various clients
PayPal offers a digital payments platform that allows users to conduct online transactions, mobile payments, and peer-to-peer transfers. It generates revenue primarily through transaction fees charged to merchants and provides various services for individual consumers, small to medium-sized businesses, and large enterprises. PayPal distinguishes itself from competitors by offering a wide range of secure financial services tailored to different client needs. The company's goal is to create a convenient and secure digital payments experience for all users.