Data Scientist Technician

*** This Position is Term-Limited***

Under general supervision from the IT Assistant Director (EA, Dev & Cyber), the incumbent is responsible for designing, building and optimizing an on-premises AI knowledge platform.

• Designs and implements Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge systems. Supports all aspects of in-life products, including customer feedback, requirements, and issues.
• Integrates local LLMs with vector databases to support question answering, summarization and semantic search.
• Builds and optimizes embedding pipelines for both structured and unstructured datasets. Evaluates retrieval performance using ranking metrics and retrieval benchmarks.
• Collects and analyzes feedback from customers, stakeholders and other teams to shape requirements, features and products. Analyzes usage data and continuously refines retrieval pipelines.
• Translates business knowledge into searchable and retrievable AI knowledge systems.
• Creates test plans and assists in the execution of user acceptance test cases. Leads end-user testing sessions and training.
• Provides timely and accurate updates of individual progress, communicating all variations to commitments as they are known.
• Performs other job‑related tasks as assigned by the Assistant IT Director (EA, Dev & Cyber) or IT Director/CIO.

• Enterprise knowledge management and search platforms.
• Software development and implementation methodologies, with an emphasis on Retrieval-Augmented Generation (RAG) approaches.
• SQL and database querying.
• Vector databases, information retrieval concepts (BM25, ranking, scoring), embedding models and semantic search.
• Manual and automated testing.
• User Acceptance Testing.
• Agile Software Development Lifecycle Methodologies with an emphasis on Kanban, Sprints and iterations.

• Verbal and written communication.
• Eliciting requirements from customers and end-users.
• Excellent organizational and time‑management skills.
• Sharp analytical and problem‑solving skills.
• Teaching software system usage in one‑on‑one and classroom settings.

• Effectively handle change management and requirements gathering.
• Develop and maintain positive and effective working relationships with all levels of the department and community.
• Work independently and manage multiple concurrent tasks effectively.
• Learn quickly and tackle tasks requiring advanced problem‑solving skills.
• Interact with computer users at all levels of staff and computer experience.

A bachelor’s degree from an accredited college or university in Information Systems, Management Information Systems, Computer Science, Engineering or a closely related discipline.

• 1 year demonstrated experience with data science, machine learning and Natural Language Processing (NLP) (required).
• 1 year demonstrated product development experience of on-premises RAG architectures and LLM integration (required).
• 1 year demonstrated successful experience in the following (required):
  • Proficiency in various programming languages with a data science focus, primarily Python and Java paired with data science libraries.
  • Experience with document parsing and large document sets.
  • Experience with vector databases and embedding workflows.
  • Advanced SQL and data analysis.
  • Working directly with engineering teams to design and iterate on products.
  • Manual and automated testing.
• Demonstrated successful experience in the following (preferred):
  • Familiarity with containerization architectures such as Docker and Kubernetes.
  • Hands‑on experience with automated testing tools such as Selenium, Cypress and Postman.

SRPMIC is an Equal Opportunity/Affirmative Action Employer. Preference will be given to a qualified Community Member Veteran, Community Member, Spouse of Community Member, qualified Native American, and then other qualified candidate.

In order to obtain preference, the following is required:
1) Qualified Community Member Veteran (DD‑214) at the time of application submission,
2) Qualified Community Member (must provide Tribal I.D at time of application submission),
3) Spouse of a Community Member (Marriage License/certificate and spouse Tribal  CIB required at time of application submission), and
4) Native American (Tribal  CIB required at time of application submission).