Nest Health
Who is Nest Health? As the first value-based care provider built for families, Nest is on a mission to make comprehensive medical, behavioral, and social care radically accessible to America’s highest risk families. Founded in 2022 by Former Secretary of Health of Louisiana and practicing OB-GYN, Dr. Rebekah Gee, and Rebecca Kavoussi, Nest is the first-of-its-kind family-based, in-home, and virtual care model; this includes primary adult and pediatric care, mental health and nutrition support, vaccinations and labs, same-and-next-day acute visits, chronic condition and transitions of care management, social services and navigation, and more. Nest’s innovative model has resulted in partnerships, unlocking care for thousands of families across our markets. Nest’s early success has led to national traction across states and payers, laying the groundwork for future expansion to families across the United States.
What does it mean to be a part of a startup? Working at a healthcare startup can be a unique experience with a fast-paced, ever-changing environment that can involve varied workloads, quick changes, and high expectations. Taking a position at a Healthcare startup allows for the opportunity to be high impact in disrupting the US healthcare system. You will have the chance to be creative, solution oriented, and have your voice heard! You will need to be flexible, accountable, and self-sufficient, and you might take on multiple roles. Here are some things you can expect:
What is the role? At Nest Health, the Machine Learning Data Engineer plays a critical role in transforming complex healthcare data into reliable, scalable, and compliant ML-powered solutions that directly support patient care and business operations. This role exists to bridge data engineering, machine learning, and analytics—curating high-quality datasets and feature stores, designing robust data models, and building production-ready ML/AI pipelines that deliver trustworthy insights and predictions.
Working end-to-end, the Machine Learning Data Engineer partners closely with data scientists, analytics teams, and business stakeholders to move solutions from raw data ingestion through modeling, deployment, and monitoring. With a strong focus on reusability, performance, and healthcare compliance, this role ensures that ML systems are not only technically sound but also practical, explainable, and impactful for real-world clinical and operational use at Nest Health.
What you'll do?
What do you bring to Nest?
Nest understands that job requirements sometimes exclude people who identify with historically marginalized groups from applying to jobs for which they are qualified. Even if you don’t meet 100% of the requirements listed, or if you achieved these requirements through unconventional channels, we encourage you to apply. What does Nest bring to the table? We are reimagining what a supportive workplace looks like, from the inside out. To ensure every team member feels valued, we provide competitive compensation packages that reflect your skills and contributions. We offer a comprehensive suite of benefits such as employer-sponsored health, dental, and life options, and generous PTO, and an all-of-you, inclusive approach to benefits:
Why choose Nest Health? Nest and its leaders have won multiple awards including Rock Health's Next-Gen Pediatric innovations, New York Times Top Five Who Spread Hope, New Orleans City Business Power 50, and CB Insights Digital 150. Additionally, Nest has become a prominent thought and brand leader garnering national attention from outlets such as 60 Minutes, Business Insider, NYTimes, Fierce Healthcare, Axios , and others. More recently, they were recognized on Inc.'s Female Founder 500 List for 2025.
Learn more about us at https://www.nesthealth.com/.
To learn more about the Nest care model, watch this video, by the award- winning HBO Katrina Babies filmmaker Edward Buckles, JR.
Nest Health celebrates the diversity of our patient population and seeks diversity on our team. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristics.