About the company

At Nirvana, we are revolutionizing the way benefit verification is handled. Recognizing its convoluted and opaque nature, we are dedicated to bringing transparency to the costs and coverage of healthcare. By leveraging machine learning and AI, we have developed tools that enable care providers across various specialties to seamlessly check coverage, from patient intake through continuous monitoring, saving significant time and resources.

Our mission extends beyond facilitating access to care; we aim to alleviate financial anxiety for those seeking medical assistance and numerous providers. With support from esteemed investors such as Inspired Capital, Eniac Ventures, and Surface Ventures, Nirvana is on a rapid growth trajectory. Over the past year, we have served some of the largest clients in healthcare, including Lifestance Health, Modern Health, and Headspace.

Join us as we continue to transform healthcare, making it more transparent and accessible for everyone.

About the role

As a Data Scientist at Nirvana, you will combine data science expertise with strategic thinking and cross-collaboration to drive impactful healthcare solutions. In this hybrid role, you will analyze patterns, build models, and leverage analytics and machine learning to uncover insights that influence decision-making across the organization. Beyond technical execution, you will consider the broader business landscape, providing business implications to ensure data-driven strategies enhance patient and provider experiences, streamline insurance eligibility checks, and support billers and intake coordinators. This role is perfect for a strategic thinker passionate about using data to drive meaningful change in the healthcare industry.

Location: Austin, TX (In office 3 days per week)

What you’ll do

• Analytical Leadership: Conduct in-depth analyses of healthcare data to uncover trends, inefficiencies, and opportunities, providing actionable recommendations to business and product teams.

• Model Development: Design, develop, and deploy machine learning models that optimize healthcare eligibility checks and improve operational efficiency.

• Feature Engineering: Collaborate with engineering teams to implement data pipelines, ensuring high-quality and scalable data for model training.

• Cross-Functional Collaboration: Partner with product managers, engineers, and healthcare experts to ensure data-driven insights shape product development and strategic decisions.

• Continuous Improvement: Identify opportunities for enhancing model performance and accuracy, leveraging A/B testing and iterative optimization.

• Data Quality: Maintain data integrity through rigorous validation and cleansing processes, ensuring that all data used in models is accurate, reliable, and ethical.

What we’re seeking

• Experience: 5+ years of experience in data science, with a focus on strategy, machine learning and predictive modeling.

• Technical Skills:

  • Proficient in Python and relevant data science libraries (e.g., Pandas, Scikit-Learn, TensorFlow, PyTorch).

  • Experience with SQL and data querying in large datasets.

  • Familiarity with healthcare data, including EHRs, eligibility data, and insurance systems, is highly desirable.

  • Proficiency with visualization tools (e.g., Metabase) for communicating insights to non-technical stakeholders.

• Soft Skills:

  • Strong problem-solving skills with a strategic, outcomes-oriented mindset.

  • Ability to collaborate effectively with cross-functional teams and communicate complex ideas simply.

  • A proactive approach to identifying and addressing data and process inefficiencies.

Preferred qualifications:

• Experience working in the healthcare or FinTech industry.

• A strong sense of empathy toward healthcare professionals, including billers and intake.

• Coordinators, and the ability to translate their challenges into actionable data solutions.

How we support you

• Medical, dental, vision, and 401K

• Hybrid dog friendly office (3 days a wk.)

• Unlimited PTO

• $500 per year Mental Health Wellness Benefits

• Stocked office kitchen

• Remote home office support

• Equity compensation packages

• Open door policy & collaborative culture

Please note: We are unable to offer visa sponsorship for this position.

Nirvana is an equal-opportunity employer, and we encourage applicants from all backgrounds to apply. Join us in our mission to create a transparent and efficient healthcare system powered by data.

Fraud Alert: Beware of Fake Job Offers
We are aware of a scam involving fraudulent job offers claiming to be from our company.

• We only communicate through official company emails and verified platforms.

• We will never ask for personal information, banking details, or payments during hiring.

• If you receive a suspicious offer, do not share any information.

To verify job offers, contact us at hiring@meetnirvana.com.