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Data Scientist Jobs in Ohio (NOW HIRING)

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Job Summary We are seeking an experienced Data Scientist to drive causal inference, experimentation, measurement, personalization, and applied AI initiatives. The ideal candidate will have hands-on ...

SM Global IT LLC

Data Scientist

Columbus, OH · On-site

Summary: * Seeking a Data Scientist to analyze complex datasets, develop statistical and machine learning models, and provide data-driven insights to support organizational decision-making.

Total Quality Logistics

Data Scientist

Cincinnati, OH · On-site

Total Quality Logistics is seeking a Data Scientist to design, build, and deploy advanced analytics and machine learning solutions that support business decision-making. The role involves owning ...

Kemper

Data Scientist

Cincinnati, OH · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization's success. As a member of the Kemper Auto Data Science team, this position is responsible ...

Booz Allen Hamilton

Data Scientist

Dayton, OH · On-site

$99K - $225K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l ...

Booz Allen Hamilton, Inc.

Data Scientist

Dayton, OH · On-site +1

$99K - $225K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton, Inc.

Data Scientist

Dayton, OH · On-site

$99K - $225K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton

Data Scientist

Dayton, OH · On-site

$99K - $225K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Radiance Technologies, Inc.

Data Scientist

Bath, OH · On-site

$125 - $150/hr

Utilize advanced data science methods to analyze and exploit GEOINT data and other sources of supplementary data to support intelligence production * Assist in developing approaches to address key ...

TQL

Data Scientist

Cincinnati, OH · On-site

As a Data Scientist, you'll design, build, and deploy advanced analytics and machine learning solutions that directly support business decision-making. You'll own projects end-to-end--from problem ...

Total Quality Logistics

Data Scientist

Cincinnati, OH · On-site

$80 - $100/hr

As a Data Scientist, you'll design, build, and deploy advanced analytics and machine learning solutions that directly support business decision‑making. You'll own projects end‑to‑end--from ...

Phase2 Technology

Data Scientist

Dayton, OH · On-site

$125 - $150/hr

As a Data Scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors--from fraud detection to cancer ...

Essilor

Data Scientist

Mason, OH · On-site

GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the full problem-to-solution journey: engaging ...

EssilorLuxottica

Data Scientist

Mason, OH · On-site

GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the full problem-to-solution journey: engaging ...

EssilorLuxottica Group

Data Scientist

Mason, OH · On-site

GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the full problem-to-solution journey: engaging ...

Munich RE

Data Scientist

Cleveland, OH · On-site

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Munich RE

Data Scientist

Columbus, OH · On-site

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

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Showing results 21-40

All JobsData Scientist JobsData Scientist Jobs in Ohio

Data Scientist information

See Ohio salary details

$35.7K

$116.7K

$186.8K

How much do data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data scientist 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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.
More about Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Ohio?

The most popular types of Data Scientist jobs in Ohio are:

What are popular job titles related to Data Scientist jobs in Ohio?

For Data Scientist jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Scientist jobs in Ohio look for?

The top searched job categories for Data Scientist jobs in Ohio are:

What cities in Ohio are hiring for Data Scientist jobs?

Cities in Ohio with the most Data Scientist job openings:

What are popular job titles related to Data Scientist jobs in OH?

For Data Scientist jobs in OH, the most frequently searched job titles are:

Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $116,687 per year, or $56.1 per hour.

Data Scientist

Hudson Manpower

Cincinnati, OH • On-site

$55 - $60/hr

Full-time

Re-posted 3 days ago

Job description

Job Summary
We are seeking an experienced Data Scientist to drive causal inference, experimentation, measurement, personalization, and applied AI initiatives. The ideal candidate will have hands-on experience applying causal inference and econometric techniques to measure business impact, build production-ready machine learning solutions, and translate analytical insights into measurable business outcomes. Experience with Generative AI is a plus but not the primary requirement.
Key Responsibilities
  • Design and implement causal inference and causal machine learning solutions.
  • Measure the impact of business treatments on customer behavior, revenue, retention, and engagement.
  • Apply statistical methods including:
    • Difference-in-Differences
    • Matching
    • Panel Data Models
    • CATE Estimation
    • Uplift Modeling
    • Heterogeneous Treatment Effect Modeling
  • Define treatments, control groups, counterfactuals, outcome metrics, and evaluation windows.
  • Build scalable, production-ready ML pipelines using software engineering and MLOps best practices.
  • Partner with business and product teams to convert business problems into scientific solutions.
  • Develop and integrate Generative AI solutions including RAG, prompt engineering, LLM workflows, fine-tuning, and agentic AI where applicable.
  • Evaluate emerging AI/ML technologies for production adoption.
  • Present technical findings and business impact to both technical and non-technical stakeholders.
  • Provide technical guidance and code reviews to team members.

Required Qualifications
  • 3+ years of applied Data Science experience.
  • Strong experience with causal inference, causal ML, econometrics, or experimentation.
  • Experience measuring treatment effects and incremental business impact.
  • Hands-on experience with:
    • Difference-in-Differences
    • Matching
    • CATE
    • Panel Data Analysis
    • Uplift Modeling
    • Heterogeneous Treatment Effects
  • Strong Python and SQL programming skills.
  • Experience with Git.
  • Experience developing production-quality ML or analytics solutions.
  • Strong analytical, communication, and problem-solving skills.
  • Bachelor's or Master's degree in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or related quantitative field.

Preferred Qualifications
  • Experience with Generative AI, RAG, Prompt Engineering, Fine-tuning, LLM Evaluation, or Agentic AI.
  • Experience with Azure, Databricks, or similar cloud platforms.
  • Experience with MLOps, deployment, orchestration, monitoring, and model lifecycle management.
  • Experience building experimentation platforms or measurement pipelines.
  • Retail, CPG, media, personalization, loyalty, or customer analytics experience.
  • Experience mentoring technical teams.

Apply