1

Computer Science Researcher Jobs in Columbus, OH

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ... Master's degree in computer science, statistics, economics or related field * 5+ years of ...

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ... Master's degree in computer science, statistics, economicsor related field * 5+ years of experience ...

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ... PhD in computer science, statistics, economics or related fields Expert understanding of ...

Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degre or in lieu ...

Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree * or in ...

Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree * or in ...

... Computer Science or Information Systems, Operations Research, or a STEM degree AND a minimum of 3 years of work experience in analytics or data science (If candidate has a PhD, no work experience is ...

next page

Showing results 1-20

Computer Science Researcher information

See Columbus, OH salary details

$28.2K

$106.5K

$154.9K

How much do computer science researcher jobs pay per year?

As of May 31, 2026, the average yearly pay for computer science researcher in Columbus, OH is $106,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $145,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Science Researcher, and why are they important?

To thrive as a Computer Science Researcher, you need a strong background in algorithms, mathematics, and theoretical computer science, commonly supported by an advanced degree (Master's or Ph.D.) in computer science or a related field. Proficiency in programming languages (such as Python, C++, or Java), research methodologies, and experience with tools like MATLAB, TensorFlow, or research databases is essential. Critical thinking, curiosity, effective communication, and collaboration are crucial soft skills for generating innovative ideas and sharing findings. These skills and qualities are important for advancing the field, producing original research, and successfully working in multidisciplinary teams.

What are common challenges faced by Computer Science Researchers when working on collaborative projects?

Computer Science Researchers often collaborate with interdisciplinary teams, which can present challenges such as aligning goals, integrating diverse technical expertise, and managing communication across different fields. Additionally, coordinating schedules and research timelines between multiple contributors can be complex, especially when team members are based in different institutions or countries. Overcoming these challenges requires strong project management skills, clear communication, and adaptability to different working styles.

What does a Computer Science Researcher do?

A Computer Science Researcher investigates new ideas, algorithms, and technologies in the field of computer science. Their work often involves designing experiments, developing prototypes, and publishing findings in academic journals or conferences. They may focus on areas like artificial intelligence, cybersecurity, data science, or software engineering. Through their research, they contribute to advancements that can impact both industry and academia. Their role typically requires strong analytical skills, programming expertise, and a deep understanding of theoretical concepts.

Is a CS degree worth IT in 2026?

A computer science researcher typically benefits from a CS degree, as it provides foundational knowledge in algorithms, programming, and systems. While practical experience and skills in areas like machine learning or data analysis are increasingly valued, a degree remains a strong credential for research roles and advancing in the field.
What are popular job titles related to Computer Science Researcher jobs in Columbus, OH? For Computer Science Researcher jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Computer Science Researcher jobs in Columbus, OH look for? The top searched job categories for Computer Science Researcher jobs in Columbus, OH are:
Infographic showing various Computer Science Researcher job openings in Columbus, OH as of May 2026, with employment types broken down into 4% As Needed, 31% Full Time, 53% Part Time, and 12% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $106,470 per year, or $51.2 per hour.

GenAI Lead Data Scientist

Huntington

Columbus, OH

Full-time

Posted 13 days ago


Job description

Description
Summary:

The Lead Data Scientist 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 field
  • 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, including experience with big data analysis tools and techniques, and building and deploying predictive models, web scraping, and scalable data pipelines.

Preferred Qualifications:

  • PhD in computer science, statistics, economics or related fields 
  • Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
  • Strong experience with R, RSTudio, Python, SAS, SQL, NoSL 
  • 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
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Ability to train more junior analysts regarding day-to-day activities, as necessary
  • Proven ability to lead cross-functional teams
  • Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
  • Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)
  • Financial Services background
#LI-NG1#LI-Onsite


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.