ZipRecruiter

Log In

1

Data Scientist Machine Learning Jobs in Ohio (NOW HIRING)

Sidram Technologies

Data Scientist - w2

Columbus, OH · On-site

Data Scientist Contract to Hire Location - Columbus, OH Summary: Our banking client is seeking a ... Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ...

Huntington

Senior Data Scientist

Beachwood, OH

$70K - $140K/yr

... Data Scientist to support and scale our continually expanding sponsorship portfolio ... At Huntington, you will leverage machine learning, segmentation, and statistical inference on huge ...

Aivra Health LLC

$28 - $45/hr

The intern will work closely with Data Scientists and Software Engineers to develop, train, evaluate, and deploy machine learning models that solve real-world business problems. Key Responsibilities ...

Bread Financial

Data Scientist

Columbus, OH · On-site +1

$101K - $198K/yr

The Data Scientist is pivotal in generating data-driven insights using advanced analytics and ... Machine Learning * Python (Programming Language) * R Statistics * Statistical Analysis * Statistics

New

AMEND Consulting

Data Scientist

Cincinnati, OH

At AMEND, our Data Scientists turn complexity into clarity. This role sits at the core of how we ... Apply optimization, forecasting, machine learning, and predictive analytics to guide decision ...

AMEND Consulting

Data Scientist

Cincinnati, OH · On-site

At AMEND, our Data Scientists turn complexity into clarity. This role sits at the core of how we ... Apply optimization, forecasting, machine learning, and predictive analytics to guide decision ...

Penske

Staff Data Scientist

Beachwood, OH · On-site

The Staff Data Scientist will typically work on 3-5 large projects concurrently that have ... Advanced experience developing and deploying machine learning models using Python and modern ML ...

PNC Bank

Data Scientist Sr

Strongsville, OH · On-site

$65K - $186K/yr

... like machine learning to predict business outcomes and recommend optimal actions to management ... Data Science, Machine Learning (ML), Science Competencies Data Architecture, Data Mining ...

Qnity

Senior Data Scientist

Delaware, OH · On-site

For experienced data science candidates, this is an exciting opportunity to join a growing team ... Expertise in machine learning techniques like random forest, xgboost, lasso, cross-validation, and ...

Munich Re

Data Scientist, AI

Akron, 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 ...

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

The Senior Data Scientist- AI, contributes to building and developing the organization's data ... Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ...

next page

Showing results 1-20

All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Ohio

Data Scientist Machine Learning information

See Ohio salary details

$35.7K

$116.7K

$186.8K

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

As of Jun 25, 2026, the average yearly pay for data scientist machine learning in Ohio is $116,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $129,300.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

Is ML a high paying job?

Data Scientist Machine Learning roles are generally well-paid due to the specialized skills required, such as programming in Python or R and knowledge of algorithms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for expertise in machine learning and data analysis.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require advanced analytical skills, domain expertise, and the ability to interpret complex models. Jobs that involve creative thinking, emotional intelligence, and tasks requiring human judgment—such as healthcare professionals, educators, and skilled trades—are also expected to remain resilient despite AI advancements.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Ohio? The most popular types of Data Scientist Machine Learning jobs in Ohio are:
What are popular job titles related to Data Scientist Machine Learning jobs in Ohio? For Data Scientist Machine Learning jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Ohio look for? The top searched job categories for Data Scientist Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Data Scientist Machine Learning jobs? Cities in Ohio with the most Data Scientist Machine Learning job openings:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Ohio as of June 2026, with employment types broken down into 76% Full Time, 12% Part Time, and 12% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,687 per year, or $56.1 per hour.

Data Scientist - w2

Sidram Technologies

Columbus, OH • On-site

Contractor

Posted 8 days ago

Job description

Data Scientist

Contract to Hire

Location - Columbus, OH

 

Summary:

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 degre 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

Rachael

IT Services | Development | Staffing

URL: http:/www.sidramtech.com |

Email: rachael@sidramtech.com  

Direct: 4705239688

Led by 25+ Years of Industry Experience