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Data Scientist Jobs in Ohio (NOW HIRING)

Procter & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be ...

Booz Allen Hamilton, Inc.

Data Scientist

Dayton, OH · On-site

$77K - $176K/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 ...

Proctor & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be ...

Booz Allen Hamilton

Data Scientist

Dayton, OH · On-site

$77K - $176K/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 ...

Kanak Elite Services Inc

Data Scientist.

Columbus, OH · On-site

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 ...

Radiance Technologies

Data Scientist

Beavercreek, OH · On-site

Radiance is seeking a highly qualified and motivated data scientist to support GEOINT and Multi-INT production and the continued advancement of data analytical processes and techniques at the ...

Goosehead

Data Scientist

Westlake, OH

We're seeking an experienced Data Scientist who enjoys solving real-world problems with a hyper-focus on impact. Who You Are: You are a curious and experienced Data Scientist who enjoys solving real ...

Booz Allen Hamilton

Data Scientist

Beavercreek, OH

$77K - $176K/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 ...

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 ...

Bread Financial

Data Scientist

Columbus, OH · On-site +1

$104K - $180K/yr

The Data Scientist is pivotal in generating data-driven insights using advanced analytics and machine learning techniques to support enterprise data science needs. Essential Job Functions

AMEND Consulting

Data Scientist

Cincinnati, OH · On-site

They are seeking a Data Scientist who will build advanced analytics tools and partner with clients to deliver solutions that enhance decision-making and business value. Responsibilities : • Build ...

TQL

Data Scientist

Cincinnati, OH

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 ...

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 ...

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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 Aug 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.

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.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

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.

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.
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, 76% Full Time, 20% Part Time, and 3% 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

Procter & Gamble

Cincinnati, OH • On-site

$85K - $122K/yr

Full-time

Re-posted 20 days ago

Procter & Gamble rating

8.3

Company rating: 8.3 out of 10

Based on 163 frontline employees who took The Breakroom Quiz

67th of 536 rated manufacturers

Job description

Job Location

CINCINNATI GENERAL OFFICES

Job Description

Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of interdisciplinary boundaries, where computer science meets hard science? If you like turning untidy data into nonobvious insights and surprising business leaders with the transformative power of Artificial Intelligence (AI), including Generative and Agentic AI, we want you on our team at P&G.

As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be expected to constructively research, design, and customize algorithms tailored to various problems and data types. Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), you will directly contribute to the development of scalable Data Science algorithms. Your work will also integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities. You will collaborate with Data and AI Engineering teams to productionize these solutions, applying exploratory data analysis, feature engineering, and model building within cloud environments on massive datasets to deliver accurate and impactful insights. Additionally, you will mentor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work.

Key Responsibilities:
  • Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms.
  • Collaboration: Work closely with Data and Software Engineering teams to effectively productionize algorithms.
  • Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
  • Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights.
  • Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies.

Job Qualifications

Required Qualifications:

  • Education: Pursuing or has graduated with a Master’s degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience.
  • Technical Skills: Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas. Demonstrated ability to develop and test code within cloud environments.
  • Communication: Strong written and verbal communication skills, with the ability to influence others to take action.

Preferred Qualifications:

  • Analytic Methodologies: Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems.
  • Continuous Learning: A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
  • Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms such as GCP or Azure.
  • DevOps Familiarity: Familiarity with DevOps environments, including tools like Git and CI/CD practices.

Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE. 

Procter & Gamble participates in e-verify as required by law. 

Qualified individuals will not be disadvantaged based on being unemployed. 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Schedule

Full time

Job Number

R000135859

Job Segmentation

Entry Level

Starting Pay / Salary Range

$85,000.00 - $122,200.00 / year

What Procter & Gamble employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Procter & Gamble logo

About Procter & Gamble

Sourced by ZipRecruiter

Procter & Gamble (P&G), based in Cincinnati, OH, US, is a multinational consumer goods corporation. The company operates in the Consumer Discretionary sector and has a presence in various industries including Beauty, Health Care, Grooming, Fabric & Home Care, and Baby, Feminine & Family Care. Since its foundation by William Procter and James Gamble in 1837, P&G has grown to become a leading player in the consumer goods market. The corporation prides itself on its core values of leadership, ownership, integrity, passion for winning, and trust. They aim to improve consumers' lives in small but significant ways, with a mission to provide branded goods and services of superior quality and value.

Industry

Health and personal care stores

Company size

10,000+ Employees

Headquarters location

Cincinnati, OH, US

Year founded

1837

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