This vacancy is posted ongoing and is considered open until filled.
Data Scientist Supervisor Position OverviewThis role offers an exciting opportunity to guide statewide reporting and analytics efforts that support stronger decision making, improved program performance, and meaningful outcomes for the people we serve. In this leadership position, you will lead a team responsible for developing accessible and accurate insights using tools such as Tableau, Salesforce, Power BI, and advanced programming languages (e.g., Python, R, SQL). This includes monitoring financial and operational priorities, ensuring compliance with federal and state reporting requirements, and adherence to OOD's data governance and quality standards. A key part of the role is transforming complex information into clear recommendations that strengthen program effectiveness, resource allocation, and strategic planning. You will also coordinate agency-wide reporting efforts, collaborate with internal leaders to identify analytic needs, interview stakeholders to inform reporting structures, and manage enhancements to employer-related databases such as AWARE, Tableau, and Salesforce. You will support modernization initiatives involving data ingestion, transformation, and visualization platforms. Additionally, you will direct employer-related reporting activities, create Lean Six Sigma performance summaries, lead the federally required Comprehensive Statewide Needs Assessment, and prepare various reports and presentations for internal and external stakeholders, including participation in statewide meetings.
To be successful in this role, you should bring knowledge of budgeting, planning, employee development, supervision, public relations, and human relations. Strong skills in interviewing, social sciences, electronic data processing, including advanced programming and analytics tools, are important. You will need proficiency in project management and Lean Six Sigma methods, Microsoft Office applications, and data visualization platforms. The role requires the ability to reason through complex variables, use statistical analysis, develop and edit technical publications, organize detailed information, and communicate effectively with diverse stakeholders.
Division of Employer and Innovation Services OverviewDivision of Employer and Innovation Services (EIS) at Opportunities for Ohioans with Disabilities (OOD) partners with employers to promote hiring individuals with disabilities and consults with businesses, communities, venues, and attractions to help them meet their accessibility and inclusion goals. In addition, EIS supports the agency in implementing process improvements for better customer service, manages data systems, and conducts research to improve our ability to meet the needs of Ohioans who could benefit from our services.
Pay InformationStarting salary will be step 1, subject to law or union contract requirements. New hires advance to the next step in the range after 6 months and annually thereafter. There are cost of living increases to these rates each year and additional longevity supplements begin after 5 years. The current wage progression for this position is in the table below.
Months of EmploymentAt Hire
6 months
18 months
30 months
42 months
54 Months
66 Months
78 Months
Pay RangeStep 1
Step 2
Step 3
Step 4
Step 5
Step 6
Step 7
Step 8
EX 15
Hourly$44.38
$46.88
$49.52
$52.24
$55.15
$58.16
$60.55
$63.41
Annual$92,310.00
$97,510.00
$103,002.00
$108,659.00
$114,712.00
$120,973.00
$125,944.00
$131,893.00
Location RequirementsOur roles are primarily in-office to encourage collaboration and connection, however some locations may have adjusted on-site requirements based on space availability at this time. Reporting details will be provided by the supervisor before the start date. Employees must reside at a location that allows for reasonable response time to workplace reporting requirements.
Daytime travel within Ohio is required. The selected candidate must provide own transportation or, in order to operate a state vehicle, must have a valid driver's license.
Applications and SelectionsPlease ensure your online application and work experience clearly indicates how you meet minimum qualifications (MQs).
Applications that fail to demonstrate how they meet minimum qualifications will not be considered.If you meet the MQs through education, transcripts are required for considerationby attaching directly on the Additional Attachments section of the application (Step 7) or via email to
[email protected] .
Applicants can check their application status and all vacancy-related email correspondence on "My Jobpage ." On the Careers.Ohio.Gov job search webpage, once signed in the link to My Jobpage is displayed under the TeamOhio logo.Applicants who require technical assistance (e.g., issues logging in or other system-related issues) should contact
[email protected] .
The selection process consists of an interview.
All communications are sent via email. Candidates should make sure their account contains an email address that is checked regularly including checking junk and/or spam.
Qualifications72 months experience or training in data analytics, statistical analysis, or research methods AND 12 months experience in supervisory &/or management principles & techniques.
-OR completion of associate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 54 months experience or training in data analytics, statistical analysis, or research methods AND 12 months experience in supervisory &/or management principles & techniques.
-OR completion of undergraduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 48 months experience in data analytics, statistical analysis, or research methods. 12 mos. exp. in supervisory &/or management principles & techniques.
-OR completion of graduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 36 months experience or training in data analytics, statistical analysis, or research methods AND 12 months experience in supervisory &/or management principles & techniques.
-OR equivalent of education and/or experience per Minimum Class Qualifications noted above.
Job Skill: Data Analytics, Technical Writing, Data Visualization, Research, Software development/implementation, Project Management, Interpreting Data, Reasoning, Strategic Thinking, Written Communication, Analyzation