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Machine Learning Data Associate Jobs in Cincinnati, OH

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 ...

Atlas Air

Staff Data Scientist

Erlanger, KY · On-site

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 ...

Procter & Gamble

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 ...

Proctor & Gamble

Data Scientist

Cincinnati, OH

$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 ...

AMEND Consulting

Data Scientist

Cincinnati, OH

Apply optimization, forecasting, machine learning, and predictive analytics to guide decision-making. * Develop scalable tools that translate data into action for client leaders and operators.

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$120 - $150/hr

Design and implement causal inference and causal machine learning solutions. * Measure the impact ... Panel Data Models * CATE Estimation * Uplift Modeling * Heterogeneous Treatment Effect Modeling

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Design and implement causal inference and causal machine learning solutions. * Measure the impact ... Panel Data Models * CATE Estimation * Uplift Modeling * Heterogeneous Treatment Effect Modeling

Hudson IT

Data Scientist

Cincinnati, OH · On-site

Design and implement causal inference and causal machine learning solutions. * Measure the impact ... Panel Data Models * CATE Estimation * Uplift Modeling * Heterogeneous Treatment Effect Modeling

AMEND Consulting

Data Scientist

Cincinnati, OH · On-site

Apply optimization, forecasting, machine learning, and predictive analytics to guide decision-making. * Develop scalable tools that translate data into action for client leaders and operators.

Great American Insurance Group

Data Engineer

Cincinnati, OH · On-site +1

$109K - $131K/yr

Support data engineering needs for predictive analytics and machine learning initiatives, including feature engineering, data preparation, and model enablement * Assist in modernizing data platforms ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Cincinnati, OH

Machine Learning Data Associate information

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How much do machine learning data associate jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for machine learning data associate in Cincinnati, OH is $17.98, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $19.13 per hour, depending on experience, location, and employer.

What is a machine learning data associate?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What are the key skills and qualifications needed to thrive as a machine learning data associate?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a machine learning data associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

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

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

Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate 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 $37,395 per year, or $18 per hour.

Data Scientist

Total Quality Logistics

Cincinnati, OH • On-site

Full-time

Re-posted 25 days ago

Total Quality Logistics rating

6.0

Company rating: 6.0 out of 10

Based on 115 frontline employees who took The Breakroom Quiz

326th of 365 rated logistics

Job description

Job Summary:
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 projects end-to-end and collaborating with cross-functional teams to deliver impactful solutions.
Responsibilities:
• Developing and deploying predictive, prescriptive, and inferential models
• Translating ambiguous business problems into analytical solutions
• Building and maintaining Python-based ML pipelines in cloud environments
• Working with structured and unstructured data
• Monitoring model performance and data drift
• Improving shared tools, frameworks, and best practices
• Communicating insights and recommendations to stakeholders
Qualifications:
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
• Familiarity with multiple modeling techniques
• Strong communication skills
Preferred:
• Advanced degree preferred or equivalent experience
Company:
The logistics industry is a $500 billion market. Founded in 1997, the company is headquartered in Cincinnati, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Total Quality Logistics employees say

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