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Data Analytics Computer Science Jobs in Ohio (NOW HIRING)

Narwal

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems or Business; prior work experience in Business Intelligence preferred. * Typically requires a minimum of 5 years of related ...

BGI (Ohio)

Computer Science and Data Science

Akron, OH · On-site

General responsibilities in Computer Science include developing and extending software frameworks in enterprise architectures, data interfaces, programing in compiled and interpreted languages, and ...

centralins

Data Analytics Manager

Dublin, OH · Hybrid

Central Insurance is seeking a Data Analytics Manager to lead a highimpact team responsible for ... Masters' degree in Computer Science or related field and 2 years related experience * Or Bachelor ...

centralins

Data Analytics Manager

Dublin, OH · Hybrid

Central Insurance is seeking a Data Analytics Manager to lead a highimpact team responsible for ... Masters' degree in Computer Science or related field and 2 years related experience * Or Bachelor ...

Geo Owl

Geo Owl is seeking a Computer Scientist / Data Scientist to support the National Space Intelligence ... data science, software development, AI/ML, analytics, engineering, or technical research

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All JobsData Analytics Computer Science JobsData Analytics Computer Science Jobs in Ohio

Data Analytics Computer Science information

Is 40 too late for data science?

Data analytics and data science roles are open to individuals of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and practical experience are key factors for career advancement in this field.

What is the difference between Data Analytics Computer Science vs Data Science?

AspectData Analytics Computer ScienceData Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related fields; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, analytics teams, IT departmentsResearch labs, tech companies, consulting firms
Employer & Industry UsageFinance, healthcare, marketing, retailTech, finance, healthcare, academia

Data Analytics Computer Science focuses on analyzing data to inform business decisions using programming and statistical tools. Data Science encompasses a broader scope, including developing models, machine learning, and predictive analytics. While both roles require similar credentials and often work in overlapping industries, Data Science typically involves more advanced statistical and modeling skills, whereas Data Analytics Computer Science emphasizes data processing and visualization for decision-making.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R, along with experience in machine learning and data visualization tools, can influence salary levels.

Is AI replacing data analysts?

Data analysts play a crucial role in interpreting data and providing insights, and AI tools are designed to assist rather than replace them. AI can automate routine tasks and enhance data processing, but human expertise is still essential for complex analysis, decision-making, and contextual understanding. Developing skills in data visualization, programming, and machine learning can help data analysts stay valuable in an evolving job market.

Can computer science work as a data analyst?

A computer science degree provides a strong foundation in programming, algorithms, and data management, which are essential skills for a data analyst. Data analysts typically use tools like SQL, Excel, and statistical software, and may benefit from knowledge of programming languages such as Python or R. While a computer science background is valuable, additional training in data visualization and statistical analysis is often required for data analyst roles.
What cities in Ohio are hiring for Data Analytics Computer Science jobs? Cities in Ohio with the most Data Analytics Computer Science job openings:
Data Analytics Computer Science jobs near you

Data Scientist Supervisor

Ohio Department of Taxation

Columbus, OH • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

What You Will Do at ODM:

Office: Data & Integrated Systems

Bureau: Strategic & Performance Analytics

Classification: Data Scientist Supervisor (PN 20102048)

 
Job Overview:

The Ohio Department of Medicaid (ODM) is seeking an experienced data analytics and science professional to lead our enterprise dashboarding and data visualization initiatives. This role provides the opportunity to make a meaningful impact by advancing data visualization, optimizing dashboard performance, and informing the health care of millions of Ohioans. The position oversees the Dashboard Operations Team and guides contractor resources to deliver highquality visualization products across the agency. As a Data Scientist Supervisor, your responsibilities will include:

  • Serving as the organization's data visualization subject matter expert (SME).
  • Overseeing the development of interactive Medicaid dashboards that support program operations, policy monitoring, and transparency for constituents.
  • Creating an agile dashboard development framework, overseeing Tableau cloud migration initiatives, and providing analytics governance recommendations.
  • Collaborating with the Business Intelligence Team to develop WCAG 2.1 AA compliant public-facing dashboards, including the creation of enhanced desk aides and best-in-class tutorials.
  • Integrating advanced Graphic Information System (GIS), geospatial methodologies, and statistical techniques into dashboards to deliver timely, data-driven insights.
  • Coordinating with contractors and vendors to scale dashboard production, improve user experience, and implement intuitive design and functionality.

  • Providing supervision, coaching, and professional development to staff, fostering a collaborative and innovative team environment.

The preferred candidate will have experience using large relational databases and data visualization tools (e.g. Tableau and GIS), familiarity with cloud solutions, and have strong communication skills. They will have a passion for managing, coaching, and developing staff members as well as the ability to be self-directed in a fast-paced environment.

72 mos. exp. or trg. in data analytics, statistical analysis, or research methods; 12 mos. exp. 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; 54 mos. exp. or trg. in data analytics, statistical analysis, or research methods; 12 mos. exp. 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; 48 mos. exp. in data analytics, statistical analysis, or research methods. 12 mos. exp. in supervisory &/or management principles & techniques. 

-Completion of graduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field; 36 mos. exp. or trg. in data analytics, statistical analysis, or research methods; 12 mos. exp. in supervisory &/or management principles & techniques. 
-Or equivalent of Minimum Class Qualifications For Employment noted above. 

Job Skill: Data Analytics

Technical Skills: Data Visualization

Professional Skills: Coaching, Collaboration, Leading Others, Analyzation

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