Sr. Data Scientist

Job Posting Title

Sr. Data Scientist

Agency

090 OFFICE OF MANAGEMENT AND ENTERPRISE SERV

Supervisory Organization

CIO

Job Posting End Date

Refer to the date listed at the top of this posting, if available. Continuous if date is blank.

Note: Applications will be accepted until 11:59 PM on the day prior to the posting end date above.

Estimated Appointment End Date (Continuous if Blank)

Full/Part-Time

Full time

Job Type

Regular

Compensation

Job Description

As a Sr. Data Scientist with OMES you will enjoy:

• Generous leave including 15 days of vacation, 15 days of sick leave and 11 paid holidays annually.

• A comprehensive Benefit Package with a generous benefit allowance to offset the cost of insurance premiums for employees and their eligible dependents.

Job Details

• Full-time 40-hour work weeks.

• Support the Information Services Division.

• Salary is based on education and experience.

• This is an on-site position located in Oklahoma City, OK.

Position Summary

The Sr. Data Scientist is a senior technical role responsible for spearheading advanced analytics and artificial intelligence initiatives that inform strategic and operational decision-making across enterprise technology and State agencies. This position serves as a recognized expert in data science, machine learning, analytics, and emerging AI technologies, including Generative AI (GenAI).

The role leads complex, high-impact analytics efforts end-to-end—from data acquisition and modeling through insight delivery and operationalization—while partnering closely with business leaders, engineers, and data teams. In addition to deep technical expertise, this position requires strong executive communication skills and the ability to translate complex analytical outcomes into clear, actionable recommendations.

Key Responsibilities

Advanced Analytics & Artificial Intelligence (AI) Delivery

• Lead the design, development, and deployment of advanced analytics, machine learning, and AI solutions that support strategic, operational, and policy decisions.

• Translate ambiguous or complex business problems into clear analytical hypotheses, solution architectures, and delivery plans.

• Design and implement predictive models, forecasting, anomaly detection, optimization techniques, and performance analytics.

• Develop and operationalize Generative AI (GenAI) and LLM-enabled solutions, including retrieval-augmented generation (RAG) workflows where appropriate.

• Ensure analytics and AI solutions meet enterprise standards for reliability, scalability, security, and maintainability.

Data Management & Engineering

• Lead efforts in data collection, preprocessing, validation, and analysis across structured and unstructured data sources.

• Partner with data engineering teams to identify valuable data sources and improve or automate data pipelines and ingestion processes.

• Ensure data quality, integrity, and usability for analytics and AI applications.

• Architect and refine data models that enable consistent, trusted insights across use cases.

Technical Leadership

• Serve as a subject matter expert in data science, analytics, and AI methodologies.

• Establish and uphold standards for:

  • Model development, validation, and documentation

  • Code quality, peer review, and version control

  • Testing, deployment, and lifecycle management

  • Responsible and ethical use of AI

• Conduct complex programming tasks that synthesize analytical outputs into actionable business insights.

Portfolio & Operations Excellence