Data Scientist

… · Remote · Remote or In-Office in San Francisco ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
Salary available to subscribers

Listed on the employer's job board (Ashby)

  • Staff-level role
  • Fully remote (Americas)
  • ML infrastructure focus
  • Equity ownership
  • Unlimited vacation

Join a small, senior data team at the company to own the product-facing side of data and machine learning. You will tackle ambiguous challenges, building ML pipelines and turning internal signals into customer-facing products like semantic layers for natural-language data access.

This position requires crossing the boundary between data science and engineering. You will ship models directly into product and platform repositories, collaborating closely with engineering teams to ensure successful deployment and iteration in a fast-paced startup environment.

What you'll do

  • Build ML infrastructure including pipelines, training, and model serving
  • Convert internal data signals into customer-facing products
  • Ship models and signals directly into engineering product repositories
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