> Markdown version of [/jobs/ext/3539955-sr-data-scientist-in-ai](https://www.wearedevelopers.com/jobs/ext/3539955-sr-data-scientist-in-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Sr. Data Scientist in AI

- **Company:** Intersources Inc.
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Salary:** $131,300.0 - $237,350.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Python (Programming Language), Machine Learning, SQL Databases, Large Language Models, Prompt Engineering, Data Analytics
- **Published:** October 2, 2026
- **Apply:** https://www.careerjet.com/job/us8133e60b455a880d73c11dd4582361c9/eaa

## About the Role

* Drive AI and analytics initiatives by applying data science techniques and leveraging LLMs to support business decisions and operational improvements.

## Description

(Primary: Data science, AI/LLMs | Tools: Python, SQL, LLM platforms) * Perform data analysis and modeling - Work with structured data, develop insights, and support lightweight modeling where needed (heavy mathematical modeling not required).
(Primary: Data analysis, Python | Secondary: ML techniques) * Strong SQL expertise - Comfortable querying across environments and quickly extracting actionable insights.
(Primary: SQL) * Translate ambiguous business requests into deliverables - Highly accountable, able to independently execute tasks and ensure completion of requirements.
(Primary: Ownership, analytical thinking) * Engage actively in meetings - Quickly grasp requirements, communicate clearly, and drive outcomes with minimal direction.
(Primary: Communication) * Apply prompt engineering and AI best practices - Understand LLM capabilities, risks, and effective usage patterns.
(Secondary: Prompt design) * Nice to have: Experience with experimentation, analytics frameworks, or cross-functional collaboration in fast-paced environments.