Remote Data Scientist/Analyst

Summary

The job is for a Data Scientist at PayZen, a rapidly growing financial health company in the healthcare sector. The role involves collaborating with various teams to lay the foundation for data science applications across all aspects of PayZen's business, using unique data assets that combine patient healthcare data with traditional and alternative financial data.

Requirements

• 3-5 years’ experience in developing machine learning models from inception to business impact in a consumer tech environment
• Master's degree in data science, statistics, operations research, applied math, or other quantitative disciplines; Ph.D. is a plus
• Deep understanding and demonstrable experience in data science, AI/ML algorithms (e.g., XGB, neural network), and statistics/experimental designs

Responsibilities

• Develop cutting-edge statistical and machine learning models leveraging both traditional and alternative data sources across credit risk, pricing, product analytics, customer engagement, and collections
• Create strategies to optimize product offering, customer payment offer creation, pricing of assets, credit line assignment and management, collections
• Design and execute a world-class infrastructure for AI/ML model development
• Collaborate with our technology team to organize, cleanse and store the underlying data
• Develop and execute A/B tests across different functions, including credit risk and funnel journeys, to create unbiased samples for future AI/ML model development
• Evaluate new and alternative data sources
• Collaborate with our product and operations team to design the patient engagement, enrollment, and servicing experience to make the most effective use of data and ML

Preferred Qualifications

Prior experience in a financial technology environment is a strong plus

Benefits

• Competitive pay with stock options
• Highly skilled co-workers with whom you can grow and have fun
• The ability to impact company values and culture in a collaborative environment - we value all comments and suggestions
• Be a part of a team that revolutionizes medical payments in ways never seen before