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Machine Learning Data Associate Jobs in Cincinnati, OH

Great American Insurance Group

Data Engineer

Cincinnati, OH · On-site

$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 ...

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 ...

Summit Consulting

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/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 ...

Munich Re

Data Scientist

Amelia, OH · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ...

Munich Re

Data Scientist

Cincinnati, OH · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ...

Citi

Specialized Analytics Senior Analyst

Florence, KY

$85K - $107K/yr

As part of Citi's Financial Crimes and Fraud Prevention - Modeling and Data organization, this role leverages advanced machine learning tools and data mining techniques to identify and combat fraud.

Tata Consultancy Services

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... TCS AI and Data business platforms. • Design, train, and optimize machine learning models for classification, regression, NLP, or computer vision tasks. • Write clean, efficient, and well ...

84.51°

Lead Data Scientist (P3764)

Cincinnati, OH · On-site

This role is ideal for someone who combines depth in applied machine learning with strong systems ... Below is a list of some of the benefits we offer our associates: * Health: Medical: with ...

PatientPoint

Sr. Data Scientist

Cincinnati, OH · On-site +1

$143K - $210K/yr

Advanced knowledge and competency of machine learning and data science methods including predictive modeling, model validation and selection, network analysis, price elasticity estimation ...

New

Fischer Homes

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

... or machine learning models within enterprise data environments. Physical Demands and Work Environment: * Must be able to use verbal communication skills to effectively interact with associates ...

FISCHER HOMES

SENIOR DATA ENGINEER

Erlanger, KY

$104K - $142K/yr

... or machine learning models within enterprise data environments. Physical Demands and Work Environment: * Must be able to use verbal communication skills to effectively interact with associates ...

FISCHER HOMES

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

... or machine learning models within enterprise data environments. Physical Demands and Work Environment: * Must be able to use verbal communication skills to effectively interact with associates ...

Fischer Homes

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

... or machine learning models within enterprise data environments. Physical Demands and Work Environment: * Must be able to use verbal communication skills to effectively interact with associates ...

Kemper

Data Scientist

Cincinnati, OH · On-site +1

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 ...

Tata Consultancy Services

AI Engineer

Cincinnati, OH

$109K - $132K/yr

Mentor and guide junior researchers and data scientists. * Stay updated on the latest trends and advancements in AI and machine learning. Qualifications: * Master's degree in Artificial Intelligence ...

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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 Sep 13, 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 Engineer

Cincinnati, OH • On-site

Great American Insurance Group
Insurance Services • 5 - 10K employees
Learn more about Great American Insurance Groupexternal

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department. In this role, you'll collaborate with claim and underwriting professionals, product managers, data scientists, actuaries, and IT professionals to transform structured and unstructured data into advanced analytics solutions. We're looking for someone with strong technical expertise, keen attention to detail, and adaptability. The ideal candidate thrives in problem-solving, communicates effectively, and enjoys working in a collaborative, team-oriented environment.
Great American's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on-site four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday-Thursday, with the fourth day determined by business needs.
Essential Job Functions and Responsibilities
  • Design, develop, and maintain scalable data pipelines and data architectures, primarily leveraging cloud-based platforms such as Snowflake
  • Build and optimize ETL/ELT processes to ingest, transform, and integrate data from internal systems and external data sources, ensuring data is readily available for analytics use cases
  • Automate recurring operational reporting processes to improve efficiency, reliability, and reduce manual effort
  • Support data engineering needs for predictive analytics and machine learning initiatives, including feature engineering, data preparation, and model enablement
  • Assist in modernizing data platforms by supporting migration from legacy systems to cloud-based data architectures
  • Identify and implement opportunities for process improvements, automation, and standardization
  • Provide advanced technical support to end users and team members by resolving data-related issues in a timely manner.
  • Serve as a trusted advisor in the development of predictive analytics, AI, generative AI, and machine learning models.
  • Engage, as needed, with our AI Automation Hub, AI Innovation Lab, AI Champions, and delivery teams to develop and implement high-impact AI solutions
  • Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.
  • Perform other duties as assigned.

Job Requirements
Education:
Bachelor's degree in Information Technology, Computer Science, Software Engineering, or a related field.
Scope of Job/Qualifications:
  • Demonstrates proficiency in multiple programming languages (Python, SQL, R, etc.).
  • Experience with cloud platforms and modern development frameworks.
  • Hands-on experience with ETL/ELT tools (e.g., Informatica or similar technologies)
  • Experience building and maintaining data pipelines for structured and semi-structured data
  • Experience with Generative AI tools and agentic coding
  • Maintain knowledge of industry trends and technologies to continuously improve data engineering solutions.
  • Maintain an understanding of machine learning concepts and their software engineering implications.
  • Knowledge of data modeling, data architecture, and data governance.
  • Provide technical expertise across a range of applications, systems, and technologies.
  • Analytical and problem-solving skills, with the ability to troubleshoot complex software issues.
  • Demonstrates knowledge of department policies and procedures, as well as the business and organization.
  • Ability to communicate, develop, and leverage strategic business relationships across the organization and externally.
  • Experience working with enterprise data systems or policy/insurance data platforms is a plus
  • Familiarity with workflow orchestration tools (e.g., UC4 or similar schedulers) is a plus
  • Data visualization development/design experience (Tableau Preferred) is a plus

Business Unit:
Business Data and Analytics
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.

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