Data Science Engineer Jobs in Ohio
Data Science Engineer jobs in Ohio are in steady demand, with concentrated hiring in financial services, healthcare, manufacturing, and insurance sectors, drawing candidates from entry-level analysts through principal engineers. Columbus, Cleveland, and Cincinnati are the largest hiring metros, anchored by employers such as Nationwide, Progressive, and the Cleveland Clinic. Machine learning engineering, MLOps, and applied NLP are among the most sought-after specialties across Ohio's market. Find a role that fits below and apply directly.
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Showing 5 of 12+ Data Science Engineer jobs
Work you'll do
As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for:
- Designing and implementing AI/ML and data engineering solutions that support mission and business objectives
- Integrating data pipelines, platforms, and interfaces across cloud and on-premises environments
- Establishing data management, data quality, and governance processes to improve reliability and usability of data assets
- Supporting deployment, testing, sustainment, and performance optimization of AI/ML models and data solutions
- Collaborating with technical and functional stakeholders to translate requirements into scalable system designs
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
The team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Qualifications
Required:
- Bachelor's degree
- Active Secret Security Clearance
- 6+ years of experience in data engineering, data management, artificial intelligence, or machine learning implementation
- 3+ years of experience designing and integrating data pipelines, data platforms, or application interfaces
- 2+ years of experience supporting cloud-based or hybrid data and AI environments
- Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- 2+ years of experience supporting government technology programs
- 2+ years of experience with structured and unstructured data processing
- 2+ years of experience with model deployment, monitoring, or sustainment
- Experience with data quality, metadata management, or data governance implementation
- Experience with containerized deployment or orchestration technologies
- Experience supporting secure solution delivery in regulated environments
Work you'll do
As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for:
- Designing and implementing AI/ML and data engineering solutions that support mission and business objectives
- Integrating data pipelines, platforms, and interfaces across cloud and on-premises environments
- Establishing data management, data quality, and governance processes to improve reliability and usability of data assets
- Supporting deployment, testing, sustainment, and performance optimization of AI/ML models and data solutions
- Collaborating with technical and functional stakeholders to translate requirements into scalable system designs
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
The team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Qualifications
Required:
- Bachelor's degree
- Active Secret Security Clearance
- 6+ years of experience in data engineering, data management, artificial intelligence, or machine learning implementation
- 3+ years of experience designing and integrating data pipelines, data platforms, or application interfaces
- 2+ years of experience supporting cloud-based or hybrid data and AI environments
- Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- 2+ years of experience supporting government technology programs
- 2+ years of experience with structured and unstructured data processing
- 2+ years of experience with model deployment, monitoring, or sustainment
- Experience with data quality, metadata management, or data governance implementation
- Experience with containerized deployment or orchestration technologies
- Experience supporting secure solution delivery in regulated environments
See All 12 Data Science Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Science Engineer JobsData Science Engineer Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data Science Engineer Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
What Ohio Employers Look For
The qualifications that appear most often in data science engineer jobs across Ohio.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python or R with demonstrated experience building and deploying machine learning models
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Ability to design and maintain data pipelines using tools like Spark, Airflow, or Databricks
- Strong SQL skills and experience working with large-scale structured and unstructured datasets
- Familiarity with MLOps practices including model monitoring, versioning, and CI/CD workflows
Data Science Engineer Jobs in Ohio: Frequently Asked Questions
How do you become a data science engineer in Ohio?
Data science engineering in Ohio has no state-issued license, so the path runs through education and demonstrated technical skill. Most Ohio employers expect at least a bachelor's degree in computer science, statistics, engineering, or a related field, with a master's degree preferred at larger organizations like Nationwide or Progressive. Building a portfolio of end-to-end machine learning projects and earning cloud certifications from AWS or Google strengthens candidacy considerably.
How much do data science engineers make in Ohio?
Data science engineers in Ohio earn a median of about $102,630 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $61,710 for the lowest 10% to over $160,650 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science engineers in Ohio?
Employers hiring data science engineers in Ohio right now include JPMorganChase, MITRE, and Battelle, based on current listings on Migrate Mate as of October 2026. Ohio's mix of Fortune 500 insurance headquarters, major health systems, and advanced manufacturing firms creates consistent demand for data science engineers across multiple industries.
Which Ohio cities have the most data science engineer jobs?
Columbus, Wright-Patterson AFB, and Mason hold the most data science engineer openings in Ohio. Columbus leads because it concentrates the headquarters of major insurance and financial services companies, while Cleveland's strength in health systems and Cleveland Cincinnati's manufacturing and consumer goods base sustain steady hiring outside the state capital.
Are there remote data science engineer jobs in Ohio?
Yes, and more than most fields, since data science engineering is inherently desk-based and output is delivered digitally. About 100% of data science engineer openings tied to Ohio are remote or hybrid as of October 2026, reflecting the role's strong compatibility with distributed work. Model development, research, and analytics-focused positions are the most likely to be fully remote, while roles requiring close collaboration with engineering teams often follow a hybrid schedule.
How can I get hired as a data science engineer in Ohio with little or no experience?
The most realistic entry path is landing a data analyst or junior data scientist role at one of Ohio's large institutional employers and building toward engineering responsibilities from there. Organizations like the Cleveland Clinic, Nationwide, and OhioHealth hire new graduates into structured analytics programs that expose candidates to production ML environments. A strong GitHub portfolio demonstrating end-to-end projects, combined with an AWS or Google Cloud certification, compensates for limited work history in Ohio hiring contexts.
Where can I find and apply to data science engineer jobs in Ohio?
You can find and apply to data science engineer jobs in Ohio on Migrate Mate, which lists current Ohio openings updated regularly. Search the available roles, identify the ones that match your background and preferred location, and apply directly to the positions that fit.
See All 12 Data Science Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Science Engineer Jobs