As a Data Scientist II 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 Data Services Team with the Information Services Division.
Responsibilities
- Develop data models, reports, visualizations in the context of the State’s Data Strategy.
- Undertake data collection, preprocessing, including structured and unstructured data types, and analysis.
- Build data models to address both state and agency business opportunities.
- Presenting information using data visualization techniques.
- Identify valuable data sources and automate collection processes.
- Developing prediction systems and machine learning algorithms.
- Aid in the adoption of the State Data Strategy.
- Extensive experience in artificial intelligence (AI) and generative AI (GenAI) technologies.
- Deliver data science and analytics services to agencies using the State Reference Architecture and standards as a guide.
- Initiative in communicating with relevant stakeholders.
- Increased ownership in driving initiatives forward.
- Perform agnostic visualization.
- Complete complex programming tasks.
- Complete tasks requiring a greater level of analytical thinking, including synthesizing data analytics and modeling insights into business-facing language and recommendations through building presentations.
Physical Demands and Work Environment
This position works in a comfortable office setting for a large percentage of the workday. The noise level in the work environment is usually mild. Occasional travel may be required.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Data Science, Mathematics or Statistics.
- Two years of data science work experience delivering end-to-end solutions without support.
- Programming skills, including statistical and database programming languages, such as Python, R, and SQL.
- Advanced knowledge in statistics and mathematics, including statistical tests, distributions, linear algebra, calculus, and regression.
- Machine learning methodologies.
- Experience with data visualization and data science tools.
- Experience mentoring and providing code review for junior data scientists.
- Data wrangling and data validation.
- Software engineering.
Preference Will Be Given To Candidates Who Possess
- Master’s degree in data science, computer science (with a focus on data science, machine learning, or artificial intelligence), statistics or applied mathematics.
- Strong communication skills, including executive presence and ability to communicate difficult data concepts to non-data executives.
- Aptitude for analytical thinking and problem-solving.
- Other types of programming languages or mathematics not listed above.
- Knowledge in other scientific/engineering disciplines.
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.