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Full Time Data Scientist Machine Learning Jobs in Columbus, OH

Citizens

Sr Data Scientist- Generative AI

Columbus, OH · On-site

This role is ideal for an experienced data scientist with strong software engineering and machine learning skills, deep expertise in NLP and Generative AI, and experience developing AI solutions ...

Bread Financial

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

Advanced machine learning modeling and/or technical expertise in developing market differentiation ... You must be work authorized in the United States on a full time basis without the need for any ...

Bread Financial

Lead Data Scientist

Columbus, OH · On-site

$144K - $250K/yr

Advanced machine learning modeling and/or technical expertise in developing market differentiation ... You must be work authorized in the United States on a full time basis without the need for any ...

Safelite Group

Lead Data Scientist

Columbus, OH

A Brief Overview The Lead Data Scientist serves as a technical leader responsible for developing ... Lead the development of advanced machine learning models, statistical frameworks, and optimization ...

Safelite Group, Inc.

Lead Data Scientist

Columbus, OH · On-site

A Brief Overview The Lead Data Scientist serves as a technical leader responsible for developing ... Lead the development of advanced machine learning models, statistical frameworks, and optimization ...

Qnity

Senior Data Scientist

Delaware, OH · On-site

Qnity Electronics is accepting applications for a full-time position as a Senior Data Scientist ... Expertise in machine learning techniques like random forest, xgboost, lasso, cross-validation, and ...

Munich Re

Data Scientist

Columbus, OH · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Pwc

AI & GenAI Data Scientist - Manager

Columbus, OH · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

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All JobsData Scientist Machine Learning JobsFull Time Data Scientist Machine Learning JobsFull Time Data Scientist Machine Learning Jobs in Columbus, OH

Full Time Data Scientist Machine Learning information

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$36.2K

$118.6K

$189.8K

How much do full time data scientist machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for full time data scientist machine learning in Columbus, OH is $118,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $131,400.00 per year, depending on experience, location, and employer.

What does a full time data scientist specializing in machine learning do?

A Full Time Data Scientist specializing in Machine Learning is responsible for analyzing large datasets to discover patterns and insights, and for building, testing, and deploying machine learning models to solve business problems. They use statistical techniques, programming skills, and domain knowledge to turn raw data into actionable information. Their day-to-day tasks often include data cleaning, feature engineering, model selection, and performance evaluation. They also collaborate with other teams to integrate machine learning solutions into products or decision-making processes. This role typically requires proficiency in languages like Python or R, and familiarity with tools such as TensorFlow, scikit-learn, or PyTorch.

What are the key skills and qualifications needed to thrive as a full time data scientist specializing in machine learning?

To thrive as a Full Time Data Scientist Machine Learning, you need strong analytical skills, expertise in statistics, machine learning techniques, and a relevant degree in computer science, mathematics, or a related field. Proficiency with programming languages such as Python or R, experience with machine learning libraries like TensorFlow or scikit-learn, and familiarity with data visualization and big data platforms are typically required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with stakeholders and translating data insights into business value. These skills are crucial for developing robust models, interpreting complex data, and driving impactful, data-driven decisions within organizations.

What are some common challenges faced by full time data scientists specializing in machine learning, and how can they be addressed?

Full-time Data Scientists in Machine Learning often encounter challenges such as dealing with messy or incomplete data, tuning complex models for optimal performance, and effectively communicating technical insights to non-technical stakeholders. Addressing these challenges usually involves collaborating closely with data engineers to improve data quality, staying updated with the latest ML techniques, and developing strong communication skills to translate findings into actionable business strategies. Additionally, regular code reviews and participation in cross-functional meetings help ensure alignment and foster a supportive team environment.

What is the difference between Full Time Data Scientist Machine Learning vs Data Analyst?

AspectFull Time Data Scientist Machine LearningData Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related; proficiency in data visualization and SQL
Work EnvironmentDeveloping ML models, programming in Python/R, deploying algorithmsData cleaning, reporting, creating dashboards, analyzing datasets
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Full Time Data Scientist Machine Learning roles focus on building and deploying machine learning models, requiring advanced programming and statistical skills. Data Analysts primarily interpret data, generate reports, and support decision-making with less emphasis on ML techniques. Both roles are vital but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Columbus, OH?

The most popular types of Data Scientist Machine Learning jobs in Columbus, OH are:

Full Time Data Scientist Machine Learning jobs near you

Data Scientist

Indotronix International Corporation

Columbus, OH • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary: Senior Data Scientist - Enterprise Analytics (Banking)
Location: Columbus, OH (Remote flexibility) | Job Type: C2C
About the Role
Join a high-performing Enterprise Analytics team at a leading banking institution as a Senior Data Scientist. Fuel organizational growth through advanced analytics, data-driven insights, and opportunity discovery. Collaborate with cross-functional teams-including Product, Marketing, Data, Finance, and senior leadership-to optimize customer experience, drive business value, and influence strategic decisions. This is a highly visible role where you will leverage your technical expertise and communication skills to shape business outcomes in a fast-paced, innovative environment.
Responsibilities
- Design and implement advanced analytics and machine learning models to extract actionable insights from complex business data.
- Conduct large-scale experimentation and build data-driven models to answer strategic business questions.
- Research and apply emerging techniques in machine learning, deep learning, and artificial intelligence.
- Collaborate with business segments to identify opportunities for optimization and customer value delivery.
- Translate analytical findings into intuitive data visualizations and persuasive presentations for stakeholders and senior leadership.
- Partner with Agile teams throughout the project lifecycle, from ideation to delivery, on high-impact, enterprise-wide projects.
- Stay current on new technologies and tools to continuously improve analytics capabilities and solutions.
- Perform additional analytics duties as assigned to support organizational goals.
Required Skills and Experience
- Proficiency in Python and SQL for data analysis, modeling, and pipeline development.
- Strong analytical and statistical expertise, comfortable working with predictive models and large datasets.
- Experience communicating technical findings to business partners and non-technical audiences.
- Master's degree (or completed by Spring 2025) in Computer Science, Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a related STEM field; OR Bachelor's degree with 3+ years' experience in analytics or data science.
- Hands-on experience with R, RStudio, SAS, and advanced statistical software.
Preferred Skills
- Knowledge of machine learning methodologies, predictive modeling, and Bayesian inference.
- Experience with big data tools, both structured and unstructured data sources, and scalable data pipelines.
- Familiarity with cloud ML technologies (e.g., AWS SageMaker), machine learning environments (e.g., TensorFlow, scikit-learn, caret), and web scraping.
- Background in financial services or consumer-centric organizations.
- Experience with data visualization tools (Tableau, Adobe Analytics/Target).
Benefits
- Work alongside a talented, collaborative, and centralized team of data science professionals.
- Influence strategic decisions and drive growth at an enterprise level.
- Exposure to cutting-edge analytics tools, technologies, and methodologies.
- Fast-paced, dynamic environment with significant opportunities for learning and professional advancement.
- Impactful projects with visibility to senior leadership and cross-functional partners.
How to Apply
If you are passionate about leveraging data to drive business value and ready to make a significant impact, we want to hear from you. Submit your resume highlighting your analytics, modeling, and communication skills. Candidates must be authorized to work without sponsorship. Background check and drug screen required.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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