OMMA Data Scientist

Recruitment #220613-X14C-04



Oklahoma Medical Marijuana Authority (OMMA) is a fast-paced, rapidly growing agency that is charged with regulating and licensing the medical marijuana industry in Oklahoma. OMMA will become a standalone state agency, separating from the Oklahoma State Health Department (OSDH) as of November 1, 2022. This change is per SB1543, which was signed by Governor Kevin Stitt on May 11, 2022. 

Every position at OMMA brings an opportunity to build out new policies and procedures using innovative and creative problem-solving. With any opportunity, challenges rear their heads. Candidates must be willing to apply critical thinking and problem-solving skills to tackle challenges in order to succeed at OMMA. We are an agency that will not settle for status quo or complacency. Candidates must be willing to work hard to help OMMA be the best at what we are entrusted to do.  

If this sounds like a challenge you are willing to take on, we look forward to reviewing your application! 

OSDH is seeking a full time Data Scientist  providing support to Oklahoma Medical Marijuana Authority. This is a state employee position governed by the Civil Service Rules, located in Oklahoma City, Oklahoma. OSDH offers a comprehensive Benefits Package, including a generous benefit allowance to offset the cost of insurance premiums for employees and their eligible dependents.  For more information about the benefit allowance, follow this link  Plan Year 2022. The annual salary for this position are up to $75,000.00 based on education and experience.

Position Summary:
This position will be responsible for planning, developing, implementing, monitoring, and evaluating quality improvement and quality assurance activities related to the Oklahoma Medical Marijuana Authority (OMMA) data systems. Data analytics, data visualizations, data cleaning, and data wrangling procedures will be used to enrich program decision making. In order to achieve this, the incumbent will be required to consult and collaborate with the OMMA Data/Business Analyst, OSDH OMMA staff, as well as other OSDH programs and external partners that rely on the information collected.

Position Responsibilities /Essential Functions
• Create automated reports from OMMA data systems that are relevant, informative, and actionable to enable data-based program decisions (e.g., workflow productivity; business lists, time to process, etc.)
• Assist the OMMA Data Analyst and other OMMA staff to determine needs and build programs and business intelligence reports based on those needs
• Ensure that data problems become data solutions
• Assist in public health surveillance activity for the OMMA
• Identify and implement improvements in programmatic system inefficiencies
• Develop and execute quality assurance procedures
• Implement internal analytical protocols to identify system issues
• Perform inferential and non-inferential analyses for all medical marijuana data requests and interpret findings
• Communicate complex findings or results in a meaningful yet understandable way
• Participant in appropriate agency committees and councils
• Develop regular and ad hoc reports with interpretation of findings including but not limited to business intelligence reports, statistical reports, data visualizations
• Presentations to internal staff, licensees, and the public
• Create workflow charts and diagrams.
• Document and diagram database structure and relationships.
• Create data dictionaries and mappings for all data collected
• Monitor progress by tracking activity, resolving problems, and creating progress reports
• Identify potential or actual problems and recommend solutions

Other Duties:
• Demonstrates knowledge of and supports mission, vision, value statements, standards, policies and procedures, operating instructions, confidentiality standards, and the code of ethical behavior.
• Works effectively in team environment, participating and assisting their peers.

Valued Knowledge, Skills and Abilities:
• Requires high level of communication skills using all types of communication methods.

Physical Demands and Work Environment:
• Office environment, possible remote work, computer based, and some travel required.


• Master’s in Data Science, Public health (Biostatistics/Epidemiology), Business Administration, Analytics, Informatics, or related Master’s level degree.

Preferred Qualifications
• Experience with Large data sets, Strong SAS coding skills plus SQL knowledge and experience, 2 or more years of experience manipulating data using SQL and/or SAS in a professional setting.  Data Science and Business Intelligence 
experience will also be prioritized.


If education, certification or licensure is required to meet qualifications, applicants must provide documentation at the time of interview.

All applicants are subject to a background check and must be legally authorized to work in the United States without visa sponsorship.


Please read instructions carefully and include all required documents when you submit your application.

No additional information will be accepted after the application has been submitted.