1

Ml Data Associate Jobs in Ohio (NOW HIRING)

Associate Data Scientist

Cincinnati, OH

$56.60K - $57.10K/yr

As an Associate Data Scientist, you'll support the development and maintenance of data-driven ... modern ML libraries in cloud-based environments Supporting Retrieval-Augmented Generation (RAG ...

Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as ... With headquarters in Reading, PA, Penske and its associates are driven by a dedication to ...

Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as ... With headquarters in Reading, PA, Penske and its associates are driven by a dedication to ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... As a member of the AI/ML Predictive Analytics team, you will be responsible for driving the ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... As a member of the AI/ML Predictive Analytics team, you will be responsible for driving the ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... As a member of the AI/ML Predictive Analytics team, you will be responsible for driving the ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... As a member of the AI/ML Predictive Analytics team, you will be responsible for driving the ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... As a member of the AI/ML Predictive Analytics team, you will be responsible for driving the ...

next page

Showing results 1-20

Ml Data Associate information

See Ohio salary details

$54.7K

$64.7K

$122.6K

How much do ml data associate jobs pay per year?

As of May 28, 2026, the average yearly pay for ml data associate in Ohio is $64,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $56,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ML Data Associate, and why are they important?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ML Data Associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

What are ML Data Associates?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

What cities in Ohio are hiring for Ml Data Associate jobs? Cities in Ohio with the most Ml Data Associate job openings:
Associate Data Scientist

Associate Data Scientist

Total Quality Logistics

Cincinnati, OH • On-site

$57.60K - $58.10K/yr

Full-time

Posted yesterday


Total Quality Logistics rating

6.7

Company rating: 6.7 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

235th of 335 rated logistics


Job description

Job Summary:
Total Quality Logistics is seeking an Associate Data Scientist to support the development and maintenance of data-driven models and analytics solutions. This role is designed for early-career professionals eager to learn modern data science practices while contributing to real-world business outcomes.
Responsibilities:
• Assisting in the development and maintenance of machine learning models and analytics pipelines
• Supporting both batch and streaming data workflows under guidance from senior team members
• Collaborating with business partners to understand data needs and analytical questions
• Working with Python, SQL, and modern ML libraries in cloud-based environments
• Supporting Retrieval-Augmented Generation (RAG) pipelines and foundational AI integrations
• Monitoring model performance and supporting data quality and operational maintenance
• Contributing to dashboards, visualizations, and data products used across the organization
Qualifications:
Required:
• Bachelor’s degree in a technical field or equivalent practical experience
• Foundational experience with Python and data analysis libraries
• Basic understanding of machine learning concepts and data modeling
• Familiarity with SQL and structured datasets
• Strong problem-solving skills and eagerness to learn
• Ability to communicate clearly and collaborate effectively
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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom