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Algorithm Scientist Jobs in Columbus, OH (NOW HIRING)

OCLC, Inc.

Senior Data Scientist

Dublin, OH · On-site

As a Senior Data Scientist you will work with stakeholders throughout the organization to identify ... Design, develop, and deploy advanced machine learning models and statistical algorithms to solve ...

Huntington

Senior Data Scientist

Columbus, OH

$70K - $140K/yr

The Senior Data Scientist contributes to building and developing the organization's data ... Determines requirements that will be used to train and evolve deep learning models and algorithms

Huntington

Senior Data Scientist

Columbus, OH

$70K - $140K/yr

The Senior Data Scientist contributes to building and developing the organization's data ... Determines requirements that will be used to train and evolve deep learning models and algorithms

Deloitte

Data Scientist

Columbus, OH · On-site

... algorithms. * 5+ Years of Experience with data manipulation and analysis libraries like pandas and ... As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ...

Sidram Technologies

Data Scientist - w2

Columbus, OH · On-site

Data Scientist Contract to Hire Location - Columbus, OH Summary: Our banking client is seeking a ... Determines requirements that will be used to train and evolve deep learning models and algorithms.

Huntington

Senior Data Scientist

Columbus, OH · On-site +1

The Senior Data Scientist contributes to building and developing the organization's data ... Determines requirements that will be used to train and evolve deep learning models and algorithms.

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All JobsAlgorithm Scientist JobsAlgorithm Scientist Jobs in Columbus, OH

Algorithm Scientist information

See Columbus, OH salary details

$48.8K

$107.5K

$132.8K

How much do algorithm scientist jobs pay per year?

As of Jun 24, 2026, the average yearly pay for algorithm scientist in Columbus, OH is $107,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $132,300.00 per year, depending on experience, location, and employer.

How does an Algorithm Scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are Algorithm Scientists?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

What are the key skills and qualifications needed to thrive as an Algorithm Scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.
What are popular job titles related to Algorithm Scientist jobs in Columbus, OH? For Algorithm Scientist jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Algorithm Scientist jobs in Columbus, OH look for? The top searched job categories for Algorithm Scientist jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Algorithm Scientist jobs? Cities near Columbus, OH with the most Algorithm Scientist job openings:
Algorithm Scientist jobs near you
Infographic showing various Algorithm Scientist job openings in Columbus, OH as of June 2026, with employment types broken down into 88% Full Time, 6% Temporary, and 6% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $107,546 per year, or $51.7 per hour.
Senior Data Scientist

Senior Data Scientist

OCLC, Inc.

Dublin, OH • On-site

Full-time

Medical, Retirement

Posted 17 days ago

Job description

Together we make breakthroughs possible.
At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.
Why join OCLC?
OCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.
  • We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.
  • Free use of our on-site fitness center, gym sports, group exercise classes, and game room
  • Onsite catering and cafeteria subsidized by OCLC
  • Health and wellness events
  • Work environments with individual and team spaces and the latest technology tools
  • Paid parental leave and adoption assistance
  • Tuition reimbursement and Public Service Loan Forgiveness eligibility
  • Company-subsidized pricing on local tickets and memberships

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.
The job details are as follows:
As a Senior Data Scientist you will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
Responsibilities:
  • Design, develop, and deploy advanced machine learning models and statistical algorithms to solve complex business problems and drive data-driven decision making across the organization
  • Conduct rigorous statistical analysis, validate hypotheses, and provide actionable insights to stakeholders
  • Build and optimize end-to-end data pipelines, including data extraction, transformation, and feature engineering to support scalable ML solutions
  • Review, scale, and enhance operationalized statistical and machine learning models and algorithms, and quantify improvements in terms of business efficiency or customer experience
  • Create repeatable processes and scalable data products by, for example, automating feedback loops for production statistical or machine learning models
  • Perform exploratory data analysis on large-scale datasets to uncover patterns, trends, and opportunities for innovation
  • Implement MLOps best practices, including model versioning and monitoring to ensure reliable model performance in production.
  • Mentor junior data scientists and contribute to the development of team capabilities through code reviews, knowledge sharing, and best practice documentation
  • Influence functional teams to develop best practices across the organization
  • Identify areas of opportunity for data science to effect change and drive strategic business impact
  • Maintain engagement with the data science community and current industry developments to assist in driving technical data science team vision and strategy

Requirements:
  • Master's Degree in a quantitative field (Mathematics, Computer Science, or Statistics or related quantitative fields) and 5+ years professional experience in a data science role or PhD in a quantitative field and 2+ years professional experience in a data science, machine learning, or related analytical role
  • Deep understanding of machine learning algorithms, statistical modeling techniques, and their practical applications, along with extensive experience using ML frameworks and libraries such as scikit-learn, TensorFlow, or similar tools.
  • Strong SQL skills and experience working with large-scale data warehousing platforms, particularly Snowflake
  • Expert proficiency in a scripting language such as Python, including Python data libraries (numpy, pandas, matplotlib, scikit-learn) and strong programming skills in Java or similar languages
  • Intermediate proficiency in a low-level or performant language
  • Expert proficiency in working within a cloud computing environment using software development best practices
  • Hands-on experience with cloud platforms (AWS and/or Azure) including services for data storage, processing, and model deployment
  • Proven track record of deploying machine learning models to production environments and measuring their business impact
  • Experience automating production-quality statistical or machine learning models at scale with expert understanding of their underlying mathematical and statistical theory
  • Experience with version control (Git), containerization (Docker), and CI/CD practices
  • Experience and expertise solving complex and highly impactful quantitative business problems
  • Self-starting attitude; ability to spearhead new data science initiatives and collaboration across functional teams
  • Demonstrates excellent communication skills with ability to explain statistic and mathematical concepts to non-experts

Working Conditions: Normal office environment.
ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

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