Data Scientist Technician
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Data Scientist Technician
56,316–74,616 / Year
Location
Scottsdale, AZ
Experience
Mid
Posted
Jul 18, 2026
Apply by
August 17, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
- ## Definition
- \\\This Position is Term-Limited\\\
Under general supervision from the IT Assistant Director (EA, Dev & Cyber), is responsible for designing, building and optimizing an on-premises AI knowledge platform. This job class is treated as FLSA Non-Exempt.
Essential Functions: Essential functions may vary among positions and may include the following tasks, knowledge, abilities, skills and other characteristics. This list of tasks is ILLUSTRATIVE ONLY and is not intended to be a comprehensive listing of tasks performed by all positions in this classification.
- ## Examples of Tasks
- 1. 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.
2. Integrates local LLMs with vector databases to support question answering, summarization and semantic search.
3. Builds and optimizes embedding pipelines for both structured and unstructured datasets. Evaluates retrieval performance and using ranking metrics and retrieval benchmarks.
4. Collects and analyzes feedback from customers, stakeholders and other teams to shape requirements, features and products. Analyzes usage data and continuously refines retrieval pipelines.
5. Translates business knowledge into searchable and retrievable AI knowledge systems.\
6. Creates test plans and assists in the execution of user acceptance test cases. Leads end-user testing sessions and training.
7. Provides timely and accurate updates of individual progress, communicating all variations to commitments as they are known.
8. Performs other job-related tasks as assigned by the Assistant IT Director (EA, Dev & Cyber) or IT Director/CIO.
Knowledge, Skills, Abilities and Other Characteristics :
- Knowledge of enterprise knowledge management and search platforms.
- Knowledge of software development and implementation methodologies, with an emphasis on Retrieval-Augmented Generation (RAG) approaches.
- Knowledge of SQL and database querying.
- Knowledge of vector databases, information retrieval concepts (BM25, ranking, scoring), embedding models and semantic search.
- Knowledge of both manual and automated testing.
- Knowledge of conducting User Acceptance Testing.
- Knowledge of Agile Software Development Lifecycle Methodologies with an emphasis on Kanban, Sprints and iterations.
- Skill with verbal and written communication.
- Skill eliciting requirements from customers and end-users.
- Excellent organizational and time management skills.
- Sharp analytical and problem-solving skills.
- Skill teaching software system usage in one-on-one and classroom settings.
- Ability to effectively handle change management and requirements gathering.
- Ability to develop and maintain positive and effective working relationships with all levels of the department and Community.
- Ability to work independently and manage multiple concurrent tasks effectively.
- Ability to learn quickly and be willing to tackle tasks requiring advanced problem-solving skills.
- Ability to interact with computer users at all levels of staff and at all levels of computer experience.
- ## Minimum Qualifications
- Education: A bachelor’s degree from an accredited college or university in Information Systems, Management Information Systems, Computer Science, Engineering or a closely related discipline.
Experience:
- 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 is a plus.
- Hands-on experience with automated testing tools such as Selenium, Cypress and Postman.
-
Equivalency: Any equivalent combination of education and experience that will allow the applicant to satisfactorily perform the duties of the job may be considered.
Underfill Eligibility: An enrolled Community Member who closely qualifies for the minimum qualifications for a position may be considered for employment under SRPMIC Policy 2-19, Underfill.
- ## Special Requirements
- May be required to work beyond normal work hours including nights, weekends and holidays. All applicants applying for jobs will be subject to Pre-Employment Drug Test and extensive Fingerprint and Background Check. In addition, all employees providing services to a campus with children will be subject to the “Community Code of Ordinances”, Chapter 11 “Minors”, Article X. “Investigation of Persons Working with Children” random drug testing and completion of a background check every five (5) years.
Prior to hire as an employee, applicants will be subject to drug and alcohol testing. Will be required to pass a pre-employment background/fingerprint check. Employees are subject to random drug and alcohol testing.
"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) will be required 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 ID or CIB is required at time of application submission), and 4) Native American (Tribal ID or CIB required at time of application submission).
Documents may be submitted by one of the following methods:
1) attach to application
2) fax (480) 362-5860
3) mail or hand deliver to Human Resources.
Documentation must be received by position closing date.
TheIHS/BIA Form-4432 is not accepted.
Your Tribal ID/CIB must be submitted to HR-Recruitment-Two Waters.
Key Responsibilities
- Designs and implements Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge systems.
- Integrates local LLMs with vector databases to support question answering, summarization, and semantic search.
- Builds and optimizes embedding pipelines for structured and unstructured datasets.
- Collects and analyzes feedback from customers and stakeholders to shape product requirements.
- 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.
Requirements
- Bachelor's degree in Information Systems
- Management Information Systems
- Computer Science
- Engineering
- or a closely related discipline
Skills Required
PythonJavaSQLVector databasesEmbedding modelsSemantic searchRetrieval-Augmented Generation (RAG)Natural Language Processing (NLP)Machine LearningData analysisDocument parsingAgile Software Development LifecycleKanbanSprintsVerbal and written communicationRequirements elicitationOrganizational skillsTime managementAnalytical skillsProblem-solvingTeachingChange managementRelationship buildingIndependent workMultitaskingDockerKubernetesSeleniumCypressPostman
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