Data Scientist II : 26-02910

Akraya; Mountain View (CA); Hybrid; USD 83,000 - 96,000; Full time

Job summary

Akraya, Inc. in Mountain View, CA is seeking a data knowledge layer engineer who will enhance data discoverability, trustworthiness, and usability by developing a comprehensive knowledge layer and piloting solutions that bridge complex data and users, including AI agents.

You will independently drive initiatives from conception through large-scale adoption, with a strong emphasis on SQL, Python, and modern AI tooling. This is a hybrid W2 contract lasting 9+ months in Mountain View.

Qualifications

• Semantic layers or knowledge graphs experience.
• Proficiency in SQL and Python for data manipulation.
• Experience with modern AI tooling and development.
• Experience with data science, large-scale data initiatives, and implementing platform capabilities across multiple teams is highly preferred.

Responsibilities

• Assess current tools for semantic understanding and knowledge representation.
• Implement and demonstrate pilot solutions for data knowledge management.
• Guide domains in adopting standardized data definition practices.
• Develop documentation and playbooks for scalable onboarding.
• Create AI-driven rules and configurations for data accessibility.

Skills

Semantic layers

Python

SQL

AI Tools

MCP Servers

Job description

Primary Skills: Semantic Layers (Advanced), Python (Advanced), SQL (Advanced), AI Tools (Advanced), MCP Servers (Advanced), Contract Type: W2 Contract Duration: 9+ Months Location: Mountain View CA (#LI-Hybrid) Pay Range: $60.00 - $70.00 Per Hour #LP

Job Summary

This role focuses on enhancing data discoverability, trustworthiness, and usability through the development of a comprehensive knowledge layer. You will be responsible for evaluating and piloting innovative solutions that bridge the gap between complex data and its users, including AI agents. The position requires a proactive individual who can independently drive initiatives from conception through to large-scale adoption.

Key Responsibilities

• Assess current tools for semantic understanding and knowledge representation.
• Implement and demonstrate pilot solutions for data knowledge management.
• Guide domains in adopting standardized data definition practices.
• Develop documentation and playbooks for scalable onboarding.
• Create AI-driven rules and configurations for data accessibility.

Must-Have Skills

• Proven experience building semantic layers or knowledge graphs.
• Proficiency in SQL and Python for data manipulation.
• Experience with modern AI tooling and development.
• Experience with data science, large-scale data initiatives, and implementing platform capabilities across multiple teams is highly preferred.