Data Scientist II

Ai, Inc

Mountain View, CA, United States

9 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$150,000.0 - $175,000.0

Working hours

Regular working hours

Job source

www.gravityitresources.com

Tech stack

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

Job 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.

Requirements

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.