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EnglishWho Is Hilary Parker and What Is Her Professional Background?
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Hilary Parker is a data scientist whose career spans consumer product companies and a presidential campaign, with a Ph.D. in Biostatistics from Johns Hopkins. Her work centers on the intersection of data science and product—understanding users deeply and designing experiences that depend on data pipelines and client interactions. She is also known publicly as co-host of the data science podcast Not So Standard Deviations.
Professional experience
| Role / affiliation | What the site says |
|---|---|
| Stitch Fix | Previously a data scientist; her work there was featured in Wired |
| Etsy | Previously a data scientist |
| 2020 Biden for President Campaign | Data scientist on the campaign |
| Patent | Lead inventor on US Patent Application 20200302506 (notice of allowance received, pending final grant) |
Her stated focus is the intersection of data science and product: from deeply understanding users to designing new experiences that rely on innovative data pipelines and client interactions.
Education
- Ph.D., Biostatistics (2016) — Johns Hopkins Bloomberg School of Public Health, working with Jeff Leek.
- Undergraduate degree — Pomona College.
Public work and podcast
Parker co-hosts Not So Standard Deviations (NSSD) with Roger Peng, a bi-weekly data science podcast running since 2015. Topics include the R ecosystem, developments in data science and statistics, reproducibility, and how data scientists and statisticians actually work. The site reports over half a million downloads at one point and over 2 million downloads as of July 2021.
What the site is
hilaryparker.com is Parker's personal site. Its "About Me" page carries the biography above, and the site also lists recent posts. The page mentions subscribe/subscription terms, but no pricing or access details are provided on the page itself.
When this background matters
This profile is useful if you are trying to place Parker's work in context—for example, when citing her Stitch Fix product-data work, referencing the podcast in a discussion of the R ecosystem, or checking her academic training before evaluating a talk or article. For current writing or project updates, check the site's recent posts rather than relying on the static biography.