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# Applied AI Scientist

- **Company:** David Joseph & Company
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Customer Data Management, Python (Programming Language), Machine Learning, Operational Data Store, Standard Sql, Software Deployment, SQL Databases, Jupyter Notebook
- **Published:** October 18, 2026
- **Apply:** https://www.juju.com/job/16_efd882d9

## About the Role

* Direct experience working with enterprise customers on deployments, pilots, demos, or messy operational data problems (retail or CPG settings are a strong plus)
 * A track record of building custom demos and proofs-of-concept in code, primarily Python and SQL
 * Roughly 3-8 years as a data scientist, forward deployed engineer, solutions architect, or similar
 * Background at an enterprise ML/data platform company, an early-stage startup, or a top-tier consulting firm
 * A bachelor's degree in a STEM or other quantitative field
 * Experience in a selling or pre-sales motion for a product where you needed a genuine grounding in machine learning to be credible
 * Ability to run demos that land with both engineers and business leaders

## Description

Our client is hiring an Applied AI Scientist to join a brand-new Applied AI team being built out around its VP of Applied AI. This is a technical, customer-facing role for someone coming from data science, forward deployed engineering, or solutions architecture who is equally comfortable in a Jupyter notebook and in front of an enterprise stakeholder. You'd be the trusted technical partner to customers from the very first demo through full production deployment, with customer demand growing quickly enough that there is real room to shape how the team operates.

What you'll be doing

 * Meeting with enterprise customers to understand their operational challenges and framing those problems clearly for technical and non-technical audiences alike
 * Leading technical and value-focused demos, and building custom demos and prototypes that support sales and go-to-market efforts
 * Working directly in customer data with Python and SQL to surface and demonstrate real business value
 * Acting as the technical point person through evaluations, pilots, and implementations
 * Supporting live customer deployments so each customer gets the full value of the platform