Senior Data Science Engineer Jobs in Ohio
Senior Data Science Engineer jobs in Ohio are actively sought across the state's financial services, healthcare, manufacturing analytics, and retail technology sectors, with demand at every level from junior data scientist through principal engineer. Columbus, Cleveland, and Cincinnati are the primary hiring hubs, where established employers such as Nationwide, Cleveland Clinic, and Kroger maintain significant data science teams. The most consistent demand is for engineers who specialize in machine learning infrastructure, MLOps pipelines, and large-scale data platform development. Find a role that fits below and apply directly.
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Showing 5 of 12+ Senior 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 Senior Data Science Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find JobsSenior Data Science Engineer Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Senior 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 senior data science engineer jobs across Ohio.
- Bachelor's or master's degree in computer science, statistics, or a closely related quantitative field
- Five or more years of experience building and deploying production machine learning or data engineering systems
- Proficiency in Python or Scala and experience with distributed computing frameworks such as Spark
- Demonstrated experience designing and maintaining cloud data platforms on AWS, Azure, or Google Cloud
- Strong background in MLOps practices including model versioning, monitoring, and automated retraining pipelines
- Ability to communicate complex analytical findings clearly to non-technical business stakeholders
Senior Data Science Engineer Jobs in Ohio: Frequently Asked Questions
How do you become a senior data science engineer in Ohio?
Senior data science engineers in Ohio are not required to hold a state-issued license or registration, so the path runs through education and demonstrated technical experience. Most Ohio employers expect at minimum a bachelor's degree in computer science, mathematics, statistics, or engineering, with many preferring a master's degree for senior roles. Candidates build their way up by working in data engineering, machine learning engineering, or analytics roles at Ohio-based companies across finance, healthcare, and manufacturing before moving into senior positions.
How much do senior data science engineers make in Ohio?
Senior 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 senior data science engineers in Ohio?
Employers hiring senior 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 concentration of large financial services firms, major health systems, and consumer goods headquarters means consistent hiring volume for experienced engineers with production ML and data platform skills.
Which Ohio cities have the most senior data science engineer jobs?
Columbus, Wright-Patterson AFB, and Mason have the most senior data science engineer openings in Ohio. Columbus leads because it is home to several large insurance and financial services headquarters, a growing tech sector, and major retail analytics operations, while Cleveland and Cincinnati draw hiring through their prominent health systems, manufacturing analytics teams, and regional financial institutions.
Are there remote senior data science engineer jobs in Ohio?
Yes, and more than most fields, because senior data science engineering is fundamentally a desk and analytical discipline that translates well to distributed work. About 100% of senior data science engineer openings tied to Ohio are remote or hybrid as of October 2026, reflecting how widely employers have accepted flexible arrangements for this role. The parts of the work most commonly done fully remote are model development, data pipeline engineering, and research, while on-site presence is most often required for stakeholder-facing or platform infrastructure work.
How can I get hired as a senior data science engineer in Ohio with little or no experience?
The most realistic entry path is to begin in a data analyst, data engineer, or junior machine learning engineer role at an Ohio employer and build toward the senior title through demonstrated project impact. Large Ohio employers such as Nationwide, Progressive, and Cleveland Clinic run associate analytics programs and graduate rotational programs that accept candidates with strong academic backgrounds and portfolio projects in lieu of years of industry experience. Completing a graduate degree in data science or earning a cloud certification in AWS or Azure also gives candidates a competitive edge when applying to Ohio employers looking to develop internal talent.
Where can I find and apply to senior data science engineer jobs in Ohio?
You can find and apply to senior data science engineer jobs in Ohio on Migrate Mate, which lists current Ohio openings from employers across the state. Search the listings for roles that match your experience level, specialization, and preferred location or remote arrangement, then apply directly to the ones that fit.
See All 12 Senior Data Science Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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