Applied Data Scientist

@ Hop
Hophop.com

Applied Data Scientist

Posted 4 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.

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