Sr. Data Scientist

Job Posting Title

Agency

Supervisory Organization

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

Job Type

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

• Partner with senior leaders, program managers, engineers, and operational teams to align analytics initiatives with organizational objectives.

• Define and maintain enterprise-relevant metrics, KPIs, and operational health indicators aligned with organizational strategy.

• Develop reports, dashboards, and visualizations using platform-agnostic approaches to ensure accessibility and clarity.

• Present insights in a manner that is understandable and impactful for both technical and non-technical audiences.

• Other duties as assigned.

Physical Demands and Work Environment

This position works in a comfortable office setting with a computer for a large percentage of the workday. The noise level in the work environment is usually mild. Occasional travel may be required.

Minimum Qualifications

Requirements include a bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field, and seven or more years of progressively responsible experience delivering data science, analytics, or AI solutions.

Preference will be given to candidates who possess

• Master’s degree or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.

• Experience with Generative AI, LLMs, prompt engineering, embeddings, and RAG architectures.

• Experience with cloud platforms (AWS, Azure, and/or Google Cloud).

• Experience with modern data architectures and analytics platforms.

• Knowledge of data governance, privacy, security, and responsible AI practices.

• Experience working in public-sector or large enterprise environments.

• Familiarity with Agile or iterative delivery methodologies.

About OMES

The Office of Management and Enterprise Services provides excellent service, expert guidance and continuous improvement in support of our partners’ goals. We are a highly qualified workforce committed to serve those who serve Oklahomans and make government run in the most efficient, innovative manner possible.

OMES is an Equal Opportunity Employer. Reasonable accommodation to individuals with disabilities may be provided upon request.

Equal Opportunity Employment

The State of Oklahoma is an equal opportunity employer and does not discriminate on the basis of genetic information, race, religion, color, sex, age, national origin, or disability.

Current active State of Oklahoma employees must apply for open positions internally through the Workday Jobs Hub.

If you are needing any extra assistance or have any questions relating to a job you have applied for, please click the link below and find the agency for which you applied for additional information:

Agency Contact