29 Applied Anthropologist jobs in Berkeley, CA

Scroll to load more...

Applied Data Scientist

Hop

Hophop.com

Applied Data Scientist

Posted 3 months ago

This job is still taking applications, but it's been up a while.

About the job

Draup is a Series A-funded AI company helping enterprises with workforce and market decisions, working with Fortune 10 clients. Building a senior AI team in SF, focused on next-gen AI research and products.

Requirements

  • 3–5 years of applied data science
  • Experience with NLP or large-scale text
  • Strong Python and SQL skills
  • Track record of deploying models
  • Experience with embedding models

Qualifications

  • BS/MS in a quantitative field
  • Authorized to work in US without sponsorship

Full job description

Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.

We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.

Location: San Francisco, SoMa — minimum 4 days per week in-office.

What you'll do

• Build and maintain ML models for classification, extraction, trend detection, and predictive scoring on large structured and unstructured datasets.

• Design experiments and benchmarks to measure model accuracy, reduce bias, and validate outputs at scale.

• Apply NLP techniques — embeddings, NER, text classification — to real-world data pipelines.

• Partner with engineering to move models from experimentation to production; own monitoring and drift detection.

• Build evaluation frameworks for AI-generated outputs across multiple product use cases.

What we require

• BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field.

• 3–5 years of applied data science; minimum 2 years working with NLP or large-scale text data in production.

• Strong Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL.

• Demonstrated track record of shipping models into production, not just producing analysis.

• Experience with embedding models and semantic similarity at enterprise scale.

• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.

Show full description
Ask Duey about this job

Duey AI may make mistakes. Please double-check key information.