Applied Data Scientist

Hop • San Francisco, CA

22h • Onsite

About The Position

Draup is a Series A-funded agentic AI company that builds the intelligence layer for how global enterprises make workforce and go-to-market decisions. They work with over 250 enterprise clients, including 5 of the Fortune 10, processing more than 1 billion job descriptions, 850 million professional profiles, and signals from over 100 labor databases. Draup is currently building its Silicon Valley engineering team, which is described as a small, senior group focused on next-generation AI research and product.

Requirements

• 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.

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees