Datavant makes the world’s health data secure, accessible and usable.

Datavant is a data logistics company for healthcare whose products and solutions enable organizations to move and connect data securely. Datavant has a network of networks consisting of thousands of organizations, more than 70,000 hospitals and clinics, 70% of the 100 largest health systems, and an ecosystem of 600+ real-world data partners.

Datavant is a data logistics company for healthcare whose products and solutions enable organizations to move and connect data securely. We are a data logistics company for healthcare whose products and solutions enable organizations to move and connect data securely. Datavant has a network of networks consisting of thousands of organizations, more than 70,000 hospitals and clinics, 70% of the 100 largest health systems, and an ecosystem of 500+ real-world data partners.

By joining Datavant today, you’re stepping onto a highly collaborative, remote-first team that is passionate about creating transformative change in healthcare. We hire for three traits: we want people who are smart, nice, and get things done. We invest in our people and believe in hiring for high-potential and humble individuals who can rapidly grow their responsibilities as the company scales. Datavant is a distributed, remote-first team, and we empower Datavanters to shape their working environment in a way that suits their needs.

The Payer Solutions team is actively looking for a detail-oriented and passionate data scientist to become a valuable part of our expanding team. Our focus involves identifying and creating opportunities to expand risk adjustment and quality digital use cases while also assessing and quantifying our programs' comprehensive efforts and effects on patient health status and revenue.

You will:

• Analyze large datasets to identify trends, patterns, and insights about digital use case expansion opportunities and program impacts.
• Run various risk adjustment models for Medicare Advantage, Medicaid or ACA to forecast patient risk scores and return on investment based on historical data and project variables.
• Work closely with cross-functional teams, including clients, to understand business needs, and determine the right methodology for analysis and assumptions to provide data-driven insights into program performance and partnerships.
• Create clear and concise reports to communicate findings and insights to both technical and non-technical stakeholders.
• Stay abreast of industry trends, new technologies, and methodologies to enhance the team's analytical capabilities.

What You Will Bring to the Table:

• Proficient in using statistical analysis tools and programming languages (e.g., SAS, Python, R) for data analysis and modeling.
• Experience in Medicare Advantage, Affordable Care Act (ACA) or Medicaid Risk Adjustment calculation models preferred.
• Strong problem-solving skills with the ability to think critically and provide data-driven solutions.
• Expertise in the data cleaning, preprocessing, manipulation, integration, processing and interrogation of large datasets.
• Strong understanding of statistical probability distributions, bias, error, and power as well as sampling and resampling methods.
• Exceptional initiative and ability to solve problems independently, seek help when needed, and take ownership when navigating ambiguity.
• Excellent communication skills.
• Well-developed time management skills and demonstrable experience of prioritizing work to meet tight deadlines for client deliverables.
• Relevant university degree or equivalent training and 2+ years of work experience as a data scientist or data engineer.

Bonus points if:

• An appreciation of the need for effective data privacy and security methods and an awareness of the relevant legislation.
• Experience with cloud services for storage and computing.
• Experience with machine learning algorithms.
• Knowledgeable in health plan operations and reporting.