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# Data Scientist II

- **Company:** Ai, Inc
- **Location:** Mountain View, CA, United States
- **Salary:** $150,000.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, Database Queries, Graph Database, Python (Programming Language), SQL Databases, Enterprise Data Management, Data Layers
- **Published:** September 26, 2026
- **Apply:** https://www.gravityitresources.com/job/10047

## About the Role

* Demonstrated experience with one or more of the following: semantic layers, knowledge graphs, retrieval systems, AI/agent tooling.
 * Strong SQL skills, including working with data definitions and semantic content.
 * Proficiency with Python in a data science environment.
 * Hands-on experience with modern AI tools and technologies.
 * Ability to evaluate technologies, develop solutions, and carry projects from evaluation to adoption independently.
 * Strong problem-solving skills and autonomy.
 * Experience partnering with multiple technical and business teams, including external stakeholders.
 * Strong written and verbal communication skills, especially in explaining technical trade-offs and recommendations.

## Description

* Evaluate tools and platforms across semantic layers, data context, knowledge graphs, retrieval systems, and AI enablement.
 * Assess technologies against requirements and make build-versus-adopt recommendations.
 * Design and deliver working pilots for the strongest solutions.
 * Determine how existing semantic layers and data definitions can integrate with the chosen approach.
 * Onboard additional business and data domains to expand content and knowledge coverage.
 * Support cross-functional alignment on metrics, definitions, terminology, and business concepts before codification.
 * Develop repeatable playbooks and onboarding processes for future domain adoption.
 * Author and maintain AI rules, skills, configurations, and supporting files for effective knowledge layer consumption.
 * Integrate solutions via Python, SQL, APIs, or configuration.
 * Communicate progress, technical trade-offs, risks, and dependencies to stakeholders.


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