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Algorithm Scientist Jobs in Columbus, OH (NOW HIRING)

Logix Guru

Data Scientist: III (Senior)

Columbus, OH · On-site

Determines requirements that will be used to train and evolve deep learning models and algorithms ... Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision ...

Apex Systems

Data Scientist (Senior)

Columbus, OH

Job#: 3026627 Data Scientist (Senior) Location: Columbus, Ohio (Onsite) Employment Type: Contract ... Determine requirements that will be used to train and evolve deep learning models and algorithms.

Varsity Tutors

AP Computer Science A Tutor

Columbus, OH · Remote

$40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Huntington

Senior Data Scientist

Columbus, OH · On-site

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 · On-site

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.

Vertiv Co

Advanced Thermal Controls Engineer

Westerville, OH

$80.50K - $104.10K/yr

The Sr. Data Scientist & Algorithm Developer supports the Global Thermal Management business. This position interacts with and supports Global Design, Test Engineering, Thermal Controls, and Quality ...

Huntington

GenAI Lead Data Scientist

Columbus, OH

The Lead 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

GenAI Lead Data Scientist

Columbus, OH

The Lead 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

GenAI Lead Data Scientist

Columbus, OH · On-site

The Lead 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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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 May 30, 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.

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.

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 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 May 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.

Data Scientist: III (Senior)

Logix Guru

Columbus, OH • On-site

Full-time

Posted 13 days ago

Job description

Our banking client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team.
The Team:
You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics organization. Team members are highly skilled in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics. Members of the team primarily support the Digital and Omnichannel organizations but are strategically positioned to partner with and support nearly every part of the company including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banks, Private Client Group, Enterprise Payments, and IT. We align with our partners within the Agile development framework and support projects throughout their entire lifecycle from ideation through delivery on the largest and most visible projects undertaken at the company. This highly visible and critical role will be set in a fast-paced environment with the ability to influence not just any single project but the overall direction of the organization.
Duties and Responsibilities:
  • Ability to use advanced analytics methods to extract value from business data.
  • Ability to perform 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.
  • Influences product teams through presentation of data-based recommendations.
  • Performs other duties as assigned.

Basic Qualifications:
  • 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 lieu of a Master's degree, Bachelor's degree with a minimum of 3 years' work experience in analytics or data science
  • Experience with R, RStudio, Python, SAS, SQL, NoSQL

Preferred Qualifications:
  • Up-to-date knowledge of machine learning and data analytics tools and techniques
  • Knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
  • Work and/or educational experience with big data analysis tools and techniques
  • Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
  • Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
  • Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
  • Financial Services background

About Candidate:
  • A curious mind with a thirst for discovery, answers, optimization, and continuous improvement
  • Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
  • Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity
  • Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
  • Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment
  • Experience in banking or financial services is a plus

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