Sr. Data Scientist

State of Oklahoma

25d • Onsite

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees