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
- 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
PayZen Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about PayZen and has not been reviewed or approved by PayZen.
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Healthcare Strength — Fully paid employee medical plans for U.S. roles, with robust mental health and fertility support, are highlighted. This reduces out‑of‑pocket burden and elevates total compensation value.
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Parental & Family Support — Sixteen weeks of paid parental leave and childcare-related support are part of the package. These benefits enhance family support alongside core pay.
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Fair & Transparent Compensation — Performance‑driven pay with bi‑annual compensation reviews and career planning is emphasized. Clear processes and competitive ranges signal transparency around pay decisions.
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What We Do
PayZen's embedded, AI-powered patient financing solutions drive a significant revenue lift for healthcare providers while improving patient affordability and satisfaction. Our platform automatically engages patients who need flexible payment options and offers them interest-free payment plans for up to 60 months tailored to their unique ability to pay. At the same time, we can pre-fund providers without recourse, eliminating bad debt and bringing A/R days to zero. Providers get a much higher patient payment rate and accelerated cash. Patients get affordable access to care and an intuitive payment experience. While we got our start in patient financing, PayZen's vision is broader than breaking large balances into monthly payments. We are building an integrated, data-driven platform that automates manual processes to holistically address the affordability needs of patients, resulting in an overall increase in revenue for providers. We have an amazing team, a big market and top tier investors. More importantly, our mission is our motivator: we are hyper-focused on making a dent in America's healthcare affordability crisis, improving the lives of patients and providers alike.
Why Work With Us
At PayZen, we are building an efficient and effective team of “A-players” with a big goal: transform access to healthcare. That requires intentionality around how we show up to work everyday. We’ve defined a set of values and a playbook called, The PayZen Way to keep us aligned, focused, and moving forward together.
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