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Trainee Data Science Jobs in Georgia (NOW HIRING)

Genpact

Analyst - Data Engineering 5A

Atlanta, GA · On-site

... Science {+ 10 more} Language English Language Proficiency - Proficient - C2 Additional Job Location - Job Type Intern (Fixed Term) (Trainee) Job End Date 2026-12-31 Master Skill List - Data ...

Emory University

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 ...

Emory University

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 ...

Emory University

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 ...

IFG Companies

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 ...

Fulgent Therapeutics

Genetics Trainee

Alpharetta, GA · On-site

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 ...

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Trainee Data Science information

What does a trainee data scientist do?

A Trainee Data Scientist assists in gathering, cleaning, and analyzing data to support business decisions. They work under the guidance of senior data scientists to learn about data modeling, statistical analysis, and using tools such as Python, R, or SQL. Their responsibilities often include preparing reports, visualizing data, and contributing to the development of predictive models. The goal is to build foundational skills and gain hands-on experience in the field of data science.

What are some common challenges faced by trainee data scientists during their initial projects, and how can they overcome them?

Trainee Data Scientists often encounter challenges such as working with messy or incomplete datasets, understanding complex business problems, and selecting the appropriate modeling techniques. Collaborating closely with experienced team members and seeking feedback can help trainees navigate these obstacles. Additionally, actively participating in code reviews and knowledge-sharing sessions accelerates learning and builds confidence in tackling real-world data science tasks.

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

To thrive as a Trainee Data Scientist, you need a foundational understanding of statistics, programming (often Python or R), and data analysis, usually supported by a relevant degree or coursework in mathematics, computer science, or engineering. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and basic database systems is often expected. Strong problem-solving skills, curiosity, and effective communication help you interpret data insights and collaborate with team members. These skills are crucial for extracting actionable insights from data and contributing meaningfully to data-driven projects.

What is the difference between Trainee Data Science vs Data Analyst?

AspectTrainee Data ScienceData Analyst
Required CredentialsBasic degree in related field, entry-level certificationsDegree in statistics, mathematics, or related field, often with certifications
Work EnvironmentInternship or entry-level role in tech or finance companiesBusiness, finance, marketing departments across industries
Employer & Industry UsageStart of data career path, training-focused rolesData-driven decision making, reporting, and analysis

In summary, a Trainee Data Science role is an entry-level position focused on learning and developing skills in data science, often as part of an internship or training program. A Data Analyst typically has more experience in analyzing data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ mainly in experience level and scope of responsibilities.

Can you get into trainee data science with no experience?

Trainee data science roles often do not require prior experience and are designed for beginners. Candidates typically need foundational skills in programming, statistics, or data analysis, which can be gained through online courses or self-study. Demonstrating a willingness to learn and basic knowledge of tools like Python or Excel can improve chances of entry-level hiring.

How do I get a job in trainee data science with no experience?

To secure a trainee data science position with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, certifications, or projects can demonstrate your abilities to employers and improve your chances of entry-level roles.

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

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

What are popular job titles related to Trainee Data Science jobs in Georgia?

For Trainee Data Science jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Trainee Data Science jobs in Georgia look for?

The top searched job categories for Trainee Data Science jobs in Georgia are:

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

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

Trainee Data Science jobs near you
Infographic showing various Trainee Data Science job openings in Georgia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 15% Part Time, and 7% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

AI Scientist/Engineer II- School of Medicine, BMI

Atlanta, GA • On-site, Remote

Emory University
Hospitals • 10K+ employees
Learn more about Emory Universityexternal

Full-time

Re-posted 11 days ago

Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 220 frontline employees who took The Breakroom Quiz

163rd of 898 rated healthcare providers

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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