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# Senior Associate, Data Scientist - AI Enablement

- **Company:** Secretariat LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Big Data, Cloud Engineering, Data Cleansing, Power BI, Systems Integration, Large Language Models, Information Technology, Databricks
- **Published:** October 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d8c0deb386be876c

## About the Role

* Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative or technical discipline.

 * 2-4 years of experience in data science, analytics, business intelligence, or a related technical role, with experience delivering solutions in a professional or client-facing environment.

 * Demonstrated experience with Power BI and Databricks, including data modeling, data preparation, analytics, visualization, and production-oriented data workflows.

 * Experience with AWS and AI/LLM infrastructure, including cloud architecture, APIs/integrations, access controls, monitoring, deployment, and production support. AWS certification is strongly preferred; relevant certifications include AWS Certified

A rewarding career above all

There are a lot of fine consulting firms out there. But when everything is on the line, it takes a unique combination of skill and savvy to succeed under pressure.

## Description

* Develop and support client-facing analytics solutions, including business-intelligence dashboards, data models, large-scale data-processing workflows, and analytical deliverables, in partnership with engagement teams.

 * Build, enhance, and support the firm's internal AI capabilities, including AI-enabled assistant tools, domain-specific analytical applications, and other large language model-powered solutions.

 * Design, prototype, test, and productionize AI-enabled and agentic workflows that automate repeatable business processes, including intake, triage, research, document review, retrieval, drafting, quality assurance, and escalation.

 * Support cloud-based AI infrastructure, including solution architecture, integrations, access controls, monitoring, security, responsible-AI practices, and production support.

 * Partner with IT and practice teams to translate business and client requirements into scalable data and AI solutions, coordinating access, configuration, deployment, troubleshooting, and handoffs.

 * Document solutions, workflows, and runbooks; monitor adoption and performance; and identify opportunities to strengthen internal AI capabilities, improve scalability, and support secure production use.