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This vacancy is posted ongoing and is considered open until filled.

Data Scientist Supervisor Position Overview

Opportunities for Ohioans with Disabilities (OOD) is seeking a Data Scientist Supervisor to help advance our mission of empowering Ohioans with disabilities through highquality, data-informed services.

This 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.

Opportunities for Ohioans with Disabilities is not an E-Verify employer and will not sponsor applicants for work visas. 

Division of Employer and Innovation Services Overview

Division 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 Information

Starting 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 Employment

At Hire

6 months

18 months

30 months

42 months

54 Months 

66 Months 

78 Months 

Pay Range

Step 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 Requirements

Our 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 Selections

72 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