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Data Trainer Jobs in Georgia (NOW HIRING)

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 ...

Data Engineer

Kennesaw, GA ยท On-site

$105K - $127K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Lawrenceville, GA ยท On-site

$98K - $118K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Athens, GA

$95K - $115K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Savannah, GA ยท On-site

$106K - $128K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Valdosta, GA ยท On-site

$92K - $111K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Augusta, GA ยท On-site

$90K - $108K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Kennesaw, GA

$105K - $127K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Carrollton, GA ยท On-site

$103K - $123K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Savannah, GA

$106K - $128K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Augusta, GA

$90K - $108K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Columbus, GA ยท On-site

$102K - $123K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Macon, GA ยท On-site

$109K - $131K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Valdosta, GA

$92K - $111K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Lawrenceville, GA

$98K - $118K/yr

... training. This means designing observation spaces, action spaces, reward signals, and success ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Showing results 41-60

Data Trainer information

What is the difference between Data Trainer vs Data Analyst?

AspectData TrainerData Analyst
Required CredentialsOften requires certifications in training, data tools, or related fieldsTypically requires degrees in statistics, data science, or related fields
Work EnvironmentPrimarily conducts training sessions, workshops, and educational programsAnalyzes data sets, creates reports, and provides insights for decision-making
Employer & Industry UsageUsed in corporate training, educational institutions, and tech companiesCommon in finance, marketing, healthcare, and tech industries

While both roles involve working with data, Data Trainers focus on educating and training others in data tools and concepts, whereas Data Analysts analyze data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What is a data trainer?

Data Trainers are professionals who prepare and curate datasets used to train machine learning models. They are responsible for labeling, annotating, and verifying data to ensure its quality and relevance for artificial intelligence systems. Data Trainers play a crucial role in helping AI systems learn to interpret data accurately by providing clean and well-organized training data. Their work often involves working closely with data scientists and engineers to improve model performance.

What are the key skills and qualifications needed to thrive as a data trainer, and why are they important?

To thrive as a Data Trainer, you need a strong background in data analysis, machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with data labeling platforms, annotation tools, and experience using programming languages like Python are typically required. Excellent communication, attention to detail, and the ability to convey technical information clearly help a Data Trainer stand out. These skills ensure high-quality, accurate data preparation that directly impacts the performance of machine learning models.

What are some common challenges data trainers face when preparing datasets for machine learning projects?

Data Trainers often encounter challenges related to data quality, such as inconsistencies, missing values, and labeling errors. Ensuring that datasets are well-structured and accurately annotated is crucial for producing reliable machine learning models. Collaborating closely with data scientists, subject matter experts, and sometimes external annotators is essential to clarify requirements and maintain high standards. Attention to detail and strong communication skills help Data Trainers resolve ambiguities and deliver clean, usable datasets.

How do you become a data trainer?

To become a data trainer, you typically need a strong background in data analysis, statistics, or related fields, along with experience in data tools like Excel, SQL, or Python. Relevant certifications, such as those in data science or analytics, can enhance your qualifications. Good communication skills and the ability to design training materials are also important for success in this role.
Infographic showing various Data Trainer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

Kemper

Alpharetta, GA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Job description

Location(s)

Alpharetta, Georgia, Boston, Massachusetts, Charlotte, North Carolina, Chicago, Illinois, Cincinnati, Ohio, Dallas, Texas

Details

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.

Position Summary:

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 for building and developing analytical solutions, especially in updating existing solutions.

Position Responsibilities:

  • Independentlydesignsanddevelops statistical models andanalytical solutions.
  • Develops andautomatesanalytical processes that can be deployedthroughoutthe organization to solve recurring analytics needs.
  • Communicates project progress and challenges to the working team.
  • Developsdatabase, technical,and businessknowledge.
  • Documents modeling assumptions, methodology, code, and analytical results clearly and consistently.
  • Participates in model reviews, code reviews, and technical discussions with data science peers.

Position Qualifications:

Minimum Job Requirements

  • Graduate degree inMathematics,Statistics,Engineering, or other STEM field with2-4 yearsofexperience working in a data science/analyticsenvironment.
  • PhD inMathematics,Statistics,Engineering, or other STEMfieldwith related industryexperiencepreferred.

Required Job Skills

  • Strong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, and visualization libraries.
  • Proficiency writing and interpreting SQL queries for data extraction and analysis
  • Solid understanding of statistical modeling and machine learning concepts, including model training, validation, performance evaluation, and interpretation.
  • Hands-on experience with common statistical and machine learning techniques, such as generalized linear models, regularized regression, tree-based models, ensemble methods, clustering, or neural networks.
  • Ability to write readable, maintainable, and well-documented Python code.
  • Experience working with structured datasets from relational databases, delimited files, data frames, and other common data formats.
  • Excellent overall communication skills, particularly possessing the ability to translate technical results for wide audiences.
  • Ability to work independently on defined assignments while seeking guidance appropriately on complex or ambiguous problems.

Preferred Qualifications

  • Experience with time series modeling techniques, such as ARIMA, forecasting, or trend analysis
  • Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical business environment is preferred but not required.
  • Experience with Git, GitLab, or other version control and collaborative development tools.
  • Exposure to cloud platforms such as AWS, Azure, Databricks, or similar environments.
  • Exposure to MLOps concepts such as model packaging, version control, CI/CD workflows, reproducible pipelines, and model deployment.

Other

  • Sponsorship is not accepted for this role
  • This role can be worked hybrid out of Richards, TX or Alpharetta, GA office. Remote options are available for non-local candidate.
  • The range for this position is $93,300 to $155,200. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.

Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.

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