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Data Scientist Trainee Jobs in Georgia (NOW HIRING)

Underwriting Trainee

Alpharetta, GA · On-site

$65K - $75K/yr

Strong analytical and problem-solving skills, with the ability to interpret data and apply sound ... economics, actuarial science, or related fields. * Required: Proficiency with Microsoft ...

Records pertinent laboratory data on the appropriate form or chart to ensure accurate and complete ... Bachelor's degree in biology or related scientific field. * Experience in laboratory sciences ...

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

... and other data science approaches and participate in clinical and pragmatic trials and ... The specific area of research in which the trainee is mentored is determined by the department and ...

Post Doctoral Fellow

Atlanta, GA

$47K - $64K/yr

... and other data science approaches and participate in clinical and pragmatic trials and ... The specific area of research in which the trainee is mentored is determined by the department and ...

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

... and other data science approaches and participate in clinical and pragmatic trials and ... The specific area of research in which the trainee is mentored is determined by the department and ...

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Data Scientist Trainee information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do data scientist trainee jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data scientist trainee in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 per year, depending on experience, location, and employer.

What is a data scientist trainee?

A Data Scientist Trainee is an entry-level role designed for individuals looking to gain hands-on experience in data science. Trainees typically work under the guidance of senior data scientists, assisting with data collection, cleaning, analysis, and model development. They may use programming languages like Python or R, as well as tools like SQL and machine learning frameworks. This role helps build foundational knowledge in data science principles, statistical analysis, and data visualization. It is ideal for recent graduates or career switchers who want to develop practical skills before transitioning into a full-time data science role.

What are the typical responsibilities of a data scientist trainee?

As a Data Scientist Trainee, you will often assist with cleaning and organizing large datasets, performing exploratory data analysis, and developing basic predictive models under the guidance of more experienced team members. You may also help create data visualizations, build dashboards, or automate simple data processing tasks. Collaboration is key, as you’ll regularly work with senior data scientists, business analysts, and sometimes cross-functional teams to support ongoing projects and learn industry best practices. This role provides a valuable hands-on foundation, helping you build the technical and analytical skills necessary for future advancement in the field.

What are the key skills and qualifications needed to thrive as a data scientist trainee?

To thrive as a Data Scientist Trainee, you need a solid understanding of statistics, data analysis, and programming (preferably in Python or R), often supported by a degree in a quantitative field. Familiarity with tools like SQL, Jupyter notebooks, data visualization libraries, and entry-level certifications such as IBM Data Science Professional Certificate can be highly beneficial. Attention to detail, problem-solving ability, and a willingness to learn and collaborate help distinguish strong candidates in this role. These qualifications and competencies enable trainees to effectively support data projects, extract meaningful insights, and smoothly develop into more advanced data science positions.

Can I get a data scientist trainee job with no experience?

Data scientist trainee positions often target candidates with limited experience and focus on training and skill development. Having foundational knowledge in programming, statistics, and data analysis tools like Python or R can improve your chances, but some companies offer entry-level programs for beginners. Demonstrating a strong interest in data science through coursework, projects, or certifications can also be beneficial.

How to start a career in data scientist trainee with no experience?

To start a career as a data scientist trainee with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can improve your prospects; obtaining relevant certifications can also enhance your resume.

What does a data scientist trainee do?

A data scientist trainee assists in analyzing data, developing models, and interpreting results under the supervision of experienced data scientists. They often learn programming languages like Python or R, work with data visualization tools, and gain practical experience in data cleaning, statistical analysis, and machine learning techniques.

What are the most commonly searched types of Data Scientist jobs in Georgia?

The most popular types of Data Scientist jobs in Georgia are:

What cities in Georgia are hiring for Data Scientist Trainee jobs?

Cities in Georgia with the most Data Scientist Trainee job openings:

Infographic showing various Data Scientist Trainee job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

AI Scientist/Engineer II- School of Medicine, BMI

Atlanta, GA • On-site, Remote


Emory University
Hospitals • 10K+ employees

7.7

Company rating: 7.7 out of 10

Based on 217 frontline employees who took The Breakroom Quiz

161st of 894 rated healthcare providers

People enjoy working here

Good employer

Recommended by students


Full-time

Posted 27 days ago


Job description

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.


This position designs and implements data analysis pipelines for data science and machine learning / artificial intelligence (AI) to meet specifications of faculty or senior staff either independently or in collaboration with research staff, trainees, and fellows.

KEY RESPONSIBILITIES:

  • Uses modern programming languages running on UN*X (Unix-like) operating systems with best practices such as version control, unit tests, and comments.
  • Works with sensitive data in secure environments, and adheres to legal frameworks that govern the data (e.g., HIPAA-compliance).
  • Designs and maintains study databases (including relational databases and data lakes) to satisfy research project needs.
  • Creates and maintains documentation of new and existing analysis pipelines to facilitate knowledge transfer.
  • Contributes to research dissemination materials such as manuscripts and presentations and to research design materials such as project proposals.
  • Performs project management or lab management duties according to well-defined specifications.
  • May collaborate with on-premises computing professionals to configure and maintain physical systems, if needed.
  • May supervise undergraduate and graduate trainees.
  • Performs related responsibilities as required.

 ADDITIONAL RESPONSIBILITIES:

  • Designs and implements data analysis pipelines for data science and machine learning / artificial intelligence (AI) to meet specifications of faculty or senior staff either independently or in collaboration with research staff, trainees, and fellows.

MINIMUM QUALIFICATIONS:

  • A master's degree OR a bachelor's degree and two years of experience OR six years of experience OR an equivalent combination of education, training, and experience.
  • Desired experience includes machine learning, AI, informatics or related experience.
  • Preferred degrees include mathematics, statistics, computer science, artificial intelligence, informatics, engineering, or a related field.

NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University location as needed and at times, on short notice.  Emory reserves the right to change this status with notice to employee.


Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.


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