Olivia Hebner

Olivia Hebner is a Data Science Manager at Summit, where she leads teams modernizing complex, high-stakes analytics for federal clients. Her work focuses on transforming legacy models built in tools like Excel, Stata, and SAS into scalable, auditable data products using open-source technologies including R, Python, and cloud-based infrastructure.

With over eight years of experience in applied data science, Olivia specializes in designing analytics that balance statistical rigor with real-world constraints such as compliance, transparency, and usability for non-technical stakeholders. She regularly partners with software engineers to move analyses out of notebooks and into production-ready systems, supporting dashboards, applications, APIs, and automated pipelines that clients can rely on day to day.

In addition to her technical work, Olivia is deeply invested in data science leadership and mentorship. She leads cross-functional teams, supports the growth of junior data scientists, and helps build internal communities of practice around visualization, modern analytics workflows, and effective communication. She is especially passionate about data visualization and storytelling, with a focus on designing clear, accessible outputs that drive decision-making.

I'm a data science educator and community builder who wants to help you cultivate a community of practice for yourself. I talk a lot about the benefits of making genuine human connections, the power of vulnerability, and why we all benefit when we show up as our whole selves. I'm also the host of the Data Humans podcast where my motto is: data science is not one thing.

I love connecting people across the data science community to share what they're accomplishing with data and help others do the same through community discussions, industry meetups, and more.