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Scientific Computing Jobs in Columbus, OH (NOW HIRING)

Master's Degree in computer science, statistics, economics or related fields 3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and ...

Master's Degree in computer science, statistics, economics or related fields * 3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and ...

Master's Degree in computer science, statistics, economics or related fields * 3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and ...

Master's degree in computer science, statistics, economics or related fields * 1+ years' work and/or educational experience in machine learning or cloud computing, experience using statistics ...

Arts and Sciences | Advanced Computing Center for Art and Design Position Overview The Advanced Computing Center for the Arts and Design seeks a Lecturer to teach ACCAD 5301: Devising Experiential ...

... science, Information Technology, or a related field. Advanced degree preferred. * Minimum of 3 years of experience in a sales engineering or technical pre-sales role, with a focus on cloud computing ...

Arts and Sciences | Advanced Computing Center for Art and Design Position Overview The Advanced Computing Center for the Arts and Design seeks a Lecturer to teach ACCAD 5301: Devising Experiential ...

... science, Information Technology, or a related field. Advanced degree preferred. * Minimum of 3 years of experience in a sales engineering or technical pre-sales role, with a focus on cloud computing ...

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Scientific Computing information

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How much do scientific computing jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for scientific computing in Columbus, OH is $30.40, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $38.80 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in Scientific Computing?

Professionals in Scientific Computing typically spend their days developing and optimizing computational models, writing code to analyze large datasets, and running simulations on high-performance computing systems. They often collaborate closely with scientists, researchers, or engineers to interpret results and improve methodologies. Depending on the industry, they may also be responsible for documenting workflows, troubleshooting complex issues, and staying current with technological advances in their field. Daily work often involves problem-solving, technical meetings, and the continuous improvement of algorithms and computational processes.

What are the key skills and qualifications needed to thrive in the Scientific Computing position, and why are they important?

To thrive in Scientific Computing, you need a strong background in mathematics, computer science, and scientific principles, often supported by a relevant degree such as physics, engineering, or computational science. Proficiency with programming languages like Python, C++, or MATLAB, experience with high-performance computing (HPC) systems, and familiarity with scientific software and libraries are typically essential. Excellent problem-solving abilities, teamwork, and clear communication skills are important soft skills for this role. These skills enable professionals to develop efficient computational solutions, collaborate effectively across multidisciplinary teams, and drive progress in research and innovation.

What is a Scientific Computing job?

A Scientific Computing job involves using advanced computational methods, algorithms, and mathematical modeling to solve complex scientific and engineering problems. Professionals in this field develop and optimize software, perform simulations, and analyze large datasets to support research in disciplines like physics, biology, and engineering. They often work with high-performance computing (HPC) systems and programming languages such as Python, C++, or Fortran. These roles are commonly found in academia, government research labs, and industries like aerospace, pharmaceuticals, and finance.

What are the most commonly searched types of Scientific Computing jobs in Columbus, OH? The most popular types of Scientific Computing jobs in Columbus, OH are:
What are popular job titles related to Scientific Computing jobs in Columbus, OH? For Scientific Computing jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Scientific Computing jobs in Columbus, OH look for? The top searched job categories for Scientific Computing jobs in Columbus, OH are:
Infographic showing various Scientific Computing job openings in Columbus, OH as of June 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $63,240 per year, or $30.4 per hour.

Senior Data Scientist - AI

Huntington

Columbus, OH โ€ข On-site, Remote

Other

Posted 6 days ago


Job description

Description Summary: The Senior Data Scientist- AI, contributes to building and developing the organization's data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes. Duties and Responsibilities: Performs advanced analytics methods to extract value from business data. Performs large-scale experimentation and build data-driven models to answer business questions.

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence. Determines requirements that will be used to train and evolve deep learning models and algorithms. Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.

Influences product teams through presentation of data-based recommendations. Evangelizes best practices to analytics and products teams. Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.

Performs other duties as assigned. Basic Qualifications: Master's Degree in computer science, statistics, economics or related fields 3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques. Preferred Qualifications: Up-to-date knowledge of machine learning and data analytics tools and techniques Strong knowledge in predictive modeling methodology Experienced at leveraging both structured and unstructured data sources Willingness and ability to learn new technologies on the job Demonstrated ability to communicate complex results to technical and non-technical audiences Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines Strategic, intellectually curious thinker with focus on outcomes Professional image with the ability to form relationships across functions Strong experience with R/RStudio, Python, SAS, SQL, NoSQL Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret) Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Financial Services background Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement

We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter.

Specific work arrangements will be provided by the hiring team. Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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