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 6+ Senior Data Science Engineer jobs
Department Anderson Center General Operations
Shift Day (United States of America)
Schedule Full time
Weekly Hours 40
FTE 1
Employee Status Regular
- Expected Starting Pay Range $91,520.00 - $116,688.00
- Starting pay is based on experience, skills, and equity; exceptions may apply for highly qualified candidates. Additional pay (e.g., shift, on‑call, or weekend differentials) and benefits may apply. Annual pay may vary based on FTE status.
Problem Analysis and Project Management- Guide and inspire the organization about the potential and strategy of data science and artificial intelligence. Work with teams to understand, document and respond to requirements to meet moderate to highly complex analytic needs and identify data-driven opportunities. Understand new data sources and process pipelines and catalog/document them. Determine requirements that will be used to train and evolve deep learning models and algorithms. Communicate and follow Data/AI Governance principles. Prioritize, scope, and manage data science projects and the corresponding key performance indicators (KPIs) for success. Execute own project tasks with urgency and to a high level of quality. Communicate status clearly and effectively using departmental project management tools. Follow time-tracking and other project management requirements. Lead project meetings and workgroups.
Data Exploration and Preparation- Create datasets using Enterprise data preparation tools. Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)Machine Learning to moderate to high complex questions. Generate hypotheses about the underlying mechanics of the business/clinical process. Test hypotheses using various quantitative methods. Proactively mine data warehouses to identify trends and patterns and generate insights for business units and senior leadership. Display drive and curiosity to understand the business/clinical process and collaborate with domain experts to better understand the system workflows and generation of data. Train other business and IT staff on basic data science principles and techniques.
Presentation & Operationalization- Prepare reports, presentations and visualizations to share insights with clinical, operational and research teams, using data display standards and best practice. Collaborate with data engineers, Xops teams and appropriate IT teams to automate and deploy solutions using established best practices,including source control and continuous monitoring. Integrate performance management and data quality tools into the current business infrastructure. Collaborate with other data science teams within the organization to evangelize and ensure compliance to organizational analytic practices and encourage reuse of artifacts. Collaborate with IT teams to inform Analytics production infrastructure processes.
Technical and Analytical Skill- Develop mastery in IT skills in coding languages (Python, R, etc) and database programming languages for both relational and non relational data structures. Develop expertise in data wrangling, data mining, data & quantitative analysis. Develop proficiency in distributed data/computing tools: MapReduce, Hadoop, HIVE etc. Become proficient in using the Enterprise Data tools as appropriate. Develop strong understanding of Xops methods to partner on data pipelines. Develop ability to communicate complex results to technical and non-technical audiences, using story telling and creative visualizations. Continue to upskill through courses, local academia, networking etc. Ability to mentor & coach junior level data science analysts.
Consulting- Serves as a consultant to clinical, operation and research teams, regarding complex statistical & analytical issues.
JOB QUALIFICATIONS
Master's degree in computer science, statistics, economics or related fields
5+ years of work experience in a related job discipline
Preferred: 3+ years of relevant project experience in successfully launching, planning AND executing data science projects
Preferred: Experience in other IT roles or functions such as quality assurance/testing, development, enterprise architecture, or project management. Demonstrated the ability to manage large data science projects and various teams
About Us
At Cincinnati Children’s, we come to work with one goal: to make children’s health better. We believe in a holistic team approach, both in caring for patients and their families, and in advancing science and discovery. We strive to do better and find energy and inspiration in our shared purpose. If you want to be the best you can be, you can do it at Cincinnati Children’s.
Cincinnati Children's is:
Recognized by U.S. News & World Report as a top 10 best Children's Hospitals in the nation for more than 15 years
Consistently among the top 3 Children's Hospitals for National Institutes of Health (NIH) Funding
Recognized as one of America’s Best Large Employers (2025) , America’s Best Employers for New Grads (2025)
One of the nation's America’s Most Innovative Companies as noted by Fortune
Consistently certified as great place to work
A Leading Disability Employer as noted by the National Organization on Disability
Magnet® designated for the fourth consecutive time by the American Nurses Credentialing Center (ANCC)
We Embrace Innovation—Together. We believe in empowering our teams with the tools that help us work smarter and care better. That’s why we support the responsible use of artificial intelligence. By encouraging innovation, we’re creating space for new ideas, better outcomes, and a stronger future—for all of us.
Comprehensive job description provided upon request.
Cincinnati Children’s is proud to be an Equal Opportunity Employer committed to creating an environment of dignity and respect for all our employees, patients, and families. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, genetic information, national origin, sexual orientation, gender identity, disability or protected veteran status. EEO/Veteran/Disability
Department Anderson Center General Operations
Shift Day (United States of America)
Schedule Full time
Weekly Hours 40
FTE 1
Employee Status Regular
- Expected Starting Pay Range $91,520.00 - $116,688.00
- Starting pay is based on experience, skills, and equity; exceptions may apply for highly qualified candidates. Additional pay (e.g., shift, on‑call, or weekend differentials) and benefits may apply. Annual pay may vary based on FTE status.
Problem Analysis and Project Management- Guide and inspire the organization about the potential and strategy of data science and artificial intelligence. Work with teams to understand, document and respond to requirements to meet moderate to highly complex analytic needs and identify data-driven opportunities. Understand new data sources and process pipelines and catalog/document them. Determine requirements that will be used to train and evolve deep learning models and algorithms. Communicate and follow Data/AI Governance principles. Prioritize, scope, and manage data science projects and the corresponding key performance indicators (KPIs) for success. Execute own project tasks with urgency and to a high level of quality. Communicate status clearly and effectively using departmental project management tools. Follow time-tracking and other project management requirements. Lead project meetings and workgroups.
Data Exploration and Preparation- Create datasets using Enterprise data preparation tools. Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)Machine Learning to moderate to high complex questions. Generate hypotheses about the underlying mechanics of the business/clinical process. Test hypotheses using various quantitative methods. Proactively mine data warehouses to identify trends and patterns and generate insights for business units and senior leadership. Display drive and curiosity to understand the business/clinical process and collaborate with domain experts to better understand the system workflows and generation of data. Train other business and IT staff on basic data science principles and techniques.
Presentation & Operationalization- Prepare reports, presentations and visualizations to share insights with clinical, operational and research teams, using data display standards and best practice. Collaborate with data engineers, Xops teams and appropriate IT teams to automate and deploy solutions using established best practices,including source control and continuous monitoring. Integrate performance management and data quality tools into the current business infrastructure. Collaborate with other data science teams within the organization to evangelize and ensure compliance to organizational analytic practices and encourage reuse of artifacts. Collaborate with IT teams to inform Analytics production infrastructure processes.
Technical and Analytical Skill- Develop mastery in IT skills in coding languages (Python, R, etc) and database programming languages for both relational and non relational data structures. Develop expertise in data wrangling, data mining, data & quantitative analysis. Develop proficiency in distributed data/computing tools: MapReduce, Hadoop, HIVE etc. Become proficient in using the Enterprise Data tools as appropriate. Develop strong understanding of Xops methods to partner on data pipelines. Develop ability to communicate complex results to technical and non-technical audiences, using story telling and creative visualizations. Continue to upskill through courses, local academia, networking etc. Ability to mentor & coach junior level data science analysts.
Consulting- Serves as a consultant to clinical, operation and research teams, regarding complex statistical & analytical issues.
JOB QUALIFICATIONS
Master's degree in computer science, statistics, economics or related fields
5+ years of work experience in a related job discipline
Preferred: 3+ years of relevant project experience in successfully launching, planning AND executing data science projects
Preferred: Experience in other IT roles or functions such as quality assurance/testing, development, enterprise architecture, or project management. Demonstrated the ability to manage large data science projects and various teams
About Us
At Cincinnati Children’s, we come to work with one goal: to make children’s health better. We believe in a holistic team approach, both in caring for patients and their families, and in advancing science and discovery. We strive to do better and find energy and inspiration in our shared purpose. If you want to be the best you can be, you can do it at Cincinnati Children’s.
Cincinnati Children's is:
Recognized by U.S. News & World Report as a top 10 best Children's Hospitals in the nation for more than 15 years
Consistently among the top 3 Children's Hospitals for National Institutes of Health (NIH) Funding
Recognized as one of America’s Best Large Employers (2025) , America’s Best Employers for New Grads (2025)
One of the nation's America’s Most Innovative Companies as noted by Fortune
Consistently certified as great place to work
A Leading Disability Employer as noted by the National Organization on Disability
Magnet® designated for the fourth consecutive time by the American Nurses Credentialing Center (ANCC)
We Embrace Innovation—Together. We believe in empowering our teams with the tools that help us work smarter and care better. That’s why we support the responsible use of artificial intelligence. By encouraging innovation, we’re creating space for new ideas, better outcomes, and a stronger future—for all of us.
Comprehensive job description provided upon request.
Cincinnati Children’s is proud to be an Equal Opportunity Employer committed to creating an environment of dignity and respect for all our employees, patients, and families. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, genetic information, national origin, sexual orientation, gender identity, disability or protected veteran status. EEO/Veteran/Disability
See All 6 Senior Data Science Engineer Jobs in Ohio
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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
Top Industries Hiring
- Technology & Software
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, Further, and Credence, based on current listings on Migrate Mate as of August 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, Cleveland, and Cincinnati 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 August 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 6 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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