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Data Science Jobs in Ohio (NOW HIRING)

Kanak Elite Services Inc

Data Scientist.

Columbus, OH · On-site

Data Science - 7+ yrs * SAS - 5+ * Python -5+ * SQL * Jupyter, Data Robot preferred * AI tools preferred * BS w/financial svcs or auto industry exp. required Required: • Bachelor's degree (Major in ...

Geo Owl

Bachelor's degree in Computer Science, Data Science, Software Engineering, AI/ML, Operations Research, or a related field * 5+ years of experience in data science, software development, AI/ML ...

Deloitte

AI and Data Science Engineer III

Cleveland, OH

$111K - $133K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior ...

Deloitte

AI and Data Science Engineer III

Cincinnati, OH

$109K - $131K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior ...

Deloitte

AI and Data Science Engineer III

Columbus, OH

$110K - $132K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior ...

Deloitte

AI and Data Science Engineer III

Cleveland, OH · On-site +1

$111K - $133K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

Deloitte

Data Scientist

Cincinnati, OH

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Deloitte

AI and Data Science Engineer III

Columbus, OH · On-site +1

$110K - $132K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

Deloitte

Data Scientist

Cleveland, OH

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Total Quality Logistics

Data Scientist

Cincinnati, OH · On-site

Required : • 3-5 years of professional data science or machine learning experience • Strong proficiency in Python and ML libraries • Experience with cloud platforms and scalable data systems ...

Deloitte

Data Scientist

Dayton, OH

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Deloitte

AI and Data Science Engineer III

Cincinnati, OH · On-site +1

$109K - $131K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

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All JobsData Science JobsData Science Jobs in Ohio

Data Science information

See Ohio salary details

$35.7K

$116.7K

$186.8K

How much do data science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data science 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 are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Ohio? The most popular types of Data Science jobs in Ohio are:
What are popular job titles related to Data Science jobs in Ohio? For Data Science jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Ohio look for? The top searched job categories for Data Science jobs in Ohio are:
What cities in Ohio are hiring for Data Science jobs? Cities in Ohio with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Ohio as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $116,687 per year, or $56.1 per hour.

Data Scientist.

Kanak Elite Services Inc

Columbus, OH • On-site

Contractor

Posted 17 days ago

Job description

Role: DATA SCIENTIST

Location: Columbus, OH (Onsite)

  • Data Science – 7+ yrs
  • SAS – 5+
  • Python -5+
  • SQL
  • Jupyter, Data Robot preferred
  • AI tools preferred
  • BS w/financial svcs or auto industry exp. required


Required:
• Bachelor’s degree (Major in statistics, computer science, economics, engineering or similar quantitative field preferred) or equivalent experience.
• 5+ years of professional experience as a data scientist or similar in a corporate environment.
• Experience using AI Tools; preferably Jupyter with Python, Data Robot, and SAS.
• Experience using BI Tools; preferably Tableau
• Experience using SQL; preferably Postgres SQL and T-SQL
• 3 years leading agile project delivery for analytical topics
• 3 years in the Financial Services or Automotive Industry (Preferred)
Comments/Special Instructions
SAS CWF Skill Set
• Python - Expert
• SAS - Intermediate
• Snowflake - Basic
• SQL Server – Basic
• IDMC / Power Center – Basic
• R - Optional

Thanks & Regards,

Technical Recruiter

Anjali Sonkar

Email : Anjali08@kanakits.com