I'm a data scientist and SWE. At Clerk I build features end-to-end and the analytics pipelines that track how they perform. Recently built women's health app for cycle/fertility tracking. Also working on a family of Claude skills to help with education and learning large bodies of new information.
Equally happy in product/ops discussions, designing A/B tests, or standing up the service that puts a model in front of users. Strong fit: a forward-deployed role where I sit close to the customer and own the problem from ideation to data to deployment.
Location: San Francisco, CA
Remote: Open to remote
Willing to relocate: No
Technologies: Python, PyData (Pandas, sklearn, etc.), R, GitHub, SQL, Statistics, Data Science
Résumé/CV: https://tinyurl.com/ypx75z7s
Linkedin: www.linkedin.com/in/taylor-haaff
Email: taylorhaaff [at] gmail.com
Vision/Neuroscience researcher and academic data scientist, industry data analyst with 4 years of experience on both very small and large teams and organizations. Much of my work has been medicine adjacent and I’m open to continuing in that space or pivoting to another interesting problem. I’ve been accepted to medical school but have decided to defer enrollment, waiting to hear back from CS masters programs as well. I’d love to learn about whatever you’re working on!
Remote: In-person preferred, remote willing
Willing to relocate: Would relocate for the right opportunity
Technologies: Python, SQL, dbt, BigQuery, PostHog, Segment, Hex, OpenAI/Anthropic APIs, Claude Code, FastAPI, Docker
Résumé/CV: Resume: https://docs.google.com/document/d/1LIa_ePFJrf28MQPPKbSDMlZw... LinkedIn: https://www.linkedin.com/in/taylor-haaff/ GitHub: https://github.com/THaaff Email: taylorhaaff at gmail dot com
I'm a data scientist and SWE. At Clerk I build features end-to-end and the analytics pipelines that track how they perform. Recently built women's health app for cycle/fertility tracking. Also working on a family of Claude skills to help with education and learning large bodies of new information.
Equally happy in product/ops discussions, designing A/B tests, or standing up the service that puts a model in front of users. Strong fit: a forward-deployed role where I sit close to the customer and own the problem from ideation to data to deployment.