> Markdown version of [/jobs/ext/4561847-data-scientist-iii-26-03054](https://www.wearedevelopers.com/jobs/ext/4561847-data-scientist-iii-26-03054). 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). --- # Data Scientist III : 26-03054 - **Company:** Akraya, Inc. - **Location:** San Diego, CA, United States - **Salary:** $166,400 - $187,200 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Application Integration Architecture, Data Infrastructure, Performance Tuning, Data Access Layer, SQL Databases, Large Language Models, Performance Monitor, Data Pipelines - **Published:** November 4, 2026 - **Apply:** https://www.thejobnetwork.com/job/4ec220b7-6da9-4e83-93ec-60917c3e6aec/data-scientist-iii- ## About the Role * Proficiency in SQL and Python for data manipulation and pipeline development. * Experience in end-to-end data pipeline ownership, including monitoring and quality. * Ability to build and configure LLM connectors or similar AI integration tools. Experience in the financial technology or tax domain is preferred for this role. ## Description This role is responsible for establishing and maintaining the data infrastructure that tracks how company brands perform in AI-generated search results across various platforms. You will build and manage data pipelines, define key metrics, and create executive dashboards to monitor performance. Additionally, you will develop a data access layer that enables non-technical users to query this data through AI assistants, ensuring accurate and reliable insights., * Construct and maintain data pipelines for AI-generated answer tracking. * Implement and govern standardized metric definitions for AI performance. * Develop executive dashboards with automated reporting and anomaly detection. * Design a user-friendly data access layer for AI-assisted querying. * Conduct in-depth analysis and provide actionable recommendations to leadership.