Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S.
Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience.
Background:
Cedar is a patient payment and engagement platform that leverages data science, consumer-centric design and technology to improve the healthcare experience for patients.
The Data Science team plays a critical role in achieving Cedar’s vision. We ensure data and insights are accessible and trusted by all internal and external stakeholders to enable data-driven decision-making. Through analytics, descriptive analyses, and statistical models, we consistently aim to better understand the needs of patients, find improvement opportunities, and impact the product development process. We run experiments to test our various hypotheses and measure our progress. We build ML models and embed them into our web app to deliver a personalized experience to patients. We help differentiate Cedar's product offerings with hard-to-copy competitive advantages.
To do this, we have built an open, supportive, and collaborative team culture. “Love thy teammate” is one of our Data Science values, and we live into this value by operating from a mindset of curiosity, possibility, and the best intentions of each of our team members. As a team, we are dedicated to continually growing our technical excellence and collaborative excellence, equally.
We are also not doing this alone; we partner with the other Makers teams (Product, Engineering, Design, and User Research) to grow our impact. We also work with Commercial teams to evangelize our vision to clients and get market feedback on which pain points are the most urgent to solve.
You can read about some of our work on the Patient Experience Studio, a blog we share with the Design team.
The Role:
Cedar is scaling rapidly and the demand for data and machine learning expertise is increasing. We are seeking a Data Scientist III, ML Engineering to join our team and build machine learning solutions that optimize the performance of Cedar’s product. You will conduct deep analyses of data to develop a thorough understanding of our product features and how patients utilize them, along the way becoming an expert in Cedar data. You will design, develop, and iterate on ML-powered product features to support and differentiate Cedar’s product offerings, and closely measure and monitor the performance of these ML models to identify and drive opportunities for continuous improvement.
Responsibilities:
Skills and Experience:
Applicants must be currently authorized to work in the United States on a full-time basis.
Compensation Range and Benefits
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What do we offer to the ideal candidate?
About us
Cedar was co-founded by Florian Otto and Arel Lidow in 2016 after a negative medical billing experience inspired them to help improve our healthcare system. With a commitment to solving billing and patient experience issues, Cedar has become a leading healthcare technology company fueled by remarkable growth. Over the past several years, we’ve raised more than $350 million in funding from investors such as Andreessen Horowitz and Tiger Global, bringing Cedar’s valuation to $3.2 billion.
As of December 2023, Cedar is engaging with 25 million patients on an annualized basis, and is on target to process $2.6 billion in patient payments annually. Cedar’s ambition is to serve 50-60 million Americans by 2025, about half of the U.S. population that makes medical payments annually. Cedar partners with more than 55 leading healthcare providers and payers including Highmark Inc., Allegheny Health Network, Novant Health, Allina Health and Providence.
Yearly based
New York, NY, United States