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Data Scientist/Analyst

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

3-5 years in machine learning modeling, Master's degree in data science or related field, Experience in financial technology is a plus.

Key responsabilities:

Develop advanced statistical and ML models
Optimize product offering and customer engagement strategies
Design infrastructure for AI/ML model development
Collaborate with tech team to manage data
Conduct A/B tests and evaluate new data sources

PayZen Startup https://www.payzen.com/

11 - 50 Employees

See more PayZen offers

Job description

PayZen is on a mission to bring financial health to healthcare. Our products improve both access & affordability for patients and cash flow & administrative complexity for medical providers. We are trusted by a rapidly growing number of health systems, hospitals, and physician groups and are backed by leading venture capital investors.

About the role

We are looking to build our Data Science and analytical team. Your first mission will be to collaborate with our strategic advisors, product, and data engineering team to lay the foundation for data science applications in all aspects of PayZen’s business. We have unique data assets combining patient healthcare data with traditional and alternative financial data. Initial data science applications include building advanced underwriting models, funnel optimization models to drive patient engagement, and payment offer sensitivity models. Equal emphasis is given to data driven decision making, be it for offer creation, pricing, line assignment or management, collections etc. We firmly believe data and data science is central to everything we do and will be the foundation of our competitive advantage. As a result, you will have tremendous growth opportunities and exposure to our executives and advisors.

What You Will Do

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.

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.

Prior experience in a financial technology environment is a strong plus.

Hands-on; willing to deeply immerse in the data and get the hands dirty.

Proactive and self-motivated with a superb and creative analytic mind.

Not afraid to challenge the status quo and form/present opinions, not only to peers but also to senior management.

Why Payzen

A chance to join a high-growth company at an early stage

Competitive pay with stock options

Highly skilled co-workers with whom you can grow and have fun