1

Data Scientist Machine Learning Jobs in Cincinnati, OH

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

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 ...

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 ...

Data Scientist

Cincinnati, OH · On-site

$80 - $110/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 ...

Required : • Proven experience with Python or C#, SQL, and applied machine learning or ... Analytics, Data Science, or Computer Science (or equivalent experience in industry). • Math ...

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 ...

Data Scientist

Cincinnati, OH · On-site

$120 - $150/hr

Job Summary We are seeking an experienced Data Scientist to drive causal inference, experimentation ... Design and implement causal inference and causal machine learning solutions. * Measure the impact ...

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Job Summary We are seeking an experienced Data Scientist to drive causal inference, experimentation ... Design and implement causal inference and causal machine learning solutions. * Measure the impact ...

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 ...

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 ...

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

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 ...

The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and ... Lead complex data science projects from conception to implementation, working with various ...

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Solid understanding of statistical modeling and machine learning concepts, including model training ...

Senior Data Scientist (SMTS)

Bellevue, KY · On-site

$148.50 - $223.90/hr

## Senior Data Scientist (SMTS)Applyremote type: Office - Flexiblelocations: Washington - Bellevue ... We leverage AI, machine learning, and contemporary data techniques to advance behavior- and ...

Lead Data Scientist - Relevancy Sciences Relevancy Sciences Team is responsible for powering ... This role is ideal for someone who combines depth in applied machine learning with strong systems ...

next page

Showing results 1-20

Data Scientist Machine Learning information

See Cincinnati, OH salary details

$36K

$117.9K

$188.7K

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

As of Aug 22, 2026, the average yearly pay for data scientist machine learning in Cincinnati, OH is $117,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $130,600.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

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 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.

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.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

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

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

What are popular job titles related to Data Scientist Machine Learning jobs in Cincinnati, OH?

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

What job categories do people searching Data Scientist Machine Learning jobs in Cincinnati, OH look for?

The top searched job categories for Data Scientist Machine Learning jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Data Scientist Machine Learning jobs?

Cities near Cincinnati, OH with the most Data Scientist Machine Learning job openings:

Infographic showing various Data Scientist Machine Learning job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,858 per year, or $56.7 per hour.

Data Scientist

Proctor & Gamble

Cincinnati, OH • On-site

$85K - $122K/yr

Full-time

Re-posted 14 days ago


Procter & Gamble rating

8.2

Company rating: 8.2 out of 10

Based on 165 frontline employees who took The Breakroom Quiz

87th of 544 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 andAI Engineeringteams to productionize these solutions, applying exploratory data analysis, feature engineering, and model buildingwithin cloud environmentson 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 anddeveloping incloud 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 informationregardingwho is eligible for hire at P&G along with other work authorization FAQ's, please clickHERE.

Procter & Gambleparticipatesine-verifyas required by law.

Qualified individuals will not be disadvantaged based on being unemployed.

We will ensure that individuals with disabilities are provided reasonable accommodation toparticipatein 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