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Data Science Intern Jobs in Decatur, GA (NOW HIRING)

AIG

Data Scientist, GenAI

Atlanta, GA

Lead the development and successful delivery of data science and generative AI solutions in accordance with business requirements. * Production Oversight: Monitor solutions in production to ensure ...

STEMtech

Data Scientist

Atlanta, GA · On-site

Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable * Great communication skills * Experience with data ...

STEMtech

Data Scientist

Atlanta, GA · On-site

Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable * Great communication skills * Experience with data ...

Truist

Data Scientist II

Atlanta, GA

... end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. ...

AT&T

Lead Data Scientist

Atlanta, GA · On-site

$171.60K - $257.40K/yr

The role also involves working with large, complex data sets and executing core data science workflows, including data extraction, cleansing, feature engineering, model tuning, and statistical ...

Truist

Data Scientist II

Atlanta, GA · On-site

... end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. ...

AT and T

Lead Data Scientist

Atlanta, GA · On-site

$171.60K - $257.40K/yr

The role also involves working with large, complex data sets and executing core data science workflows, including data extraction, cleansing, feature engineering, model tuning, and statistical ...

Cortland

Data Scientist - Atlanta, GA

Atlanta, GA · On-site

Stay current on emerging data science tools, platforms, and methodologies, bringing relevant innovations into the organization. Qualifications * Bachelor's degree in a STEMrelated field (e.g ...

Home Depot

Sr. Data Scientist - Delivery

Atlanta, GA · On-site

Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a ...

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Data Science Intern information

See Decatur, GA salary details

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How much do data science intern jobs pay per hour?

As of May 30, 2026, the average hourly pay for data science intern in Decatur, GA is $21.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $23.94 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.
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Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Decatur, GA as of May 2026, with employment types broken down into 31% Internship, 44% Full Time, and 25% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $45,701 per year, or $22 per hour.

Data Scientist-GCP platform

Krest Global Solutions

Atlanta, GA • Hybrid

$58/hr

Contractor

Posted yesterday

Job description

Job Title: Data Scientist-GCP

Client: TBD
Work Time Zone: EST
Rate: $58/hour on 1099/C2C

Location: Atlanta, GA ( Hybrid – 3 days on-site)

We are looking for an experienced and forward-thinking Data Scientist to join our Data, Analytics, and Data Products team. The ideal candidate will have strong hands-on experience using Google Cloud Platform (GCP) tools—especially Vertex AI and Gemini—to deliver high-impact machine learning, statistical analysis, and generative AI solutions. This role plays a key part in optimizing decision-making and operational strategies across our core business functions.

Core Responsibilities

  • Data Analysis & Exploration
    • Analyze and explore large, complex datasets using BigQuery and other GCP-native sources.
    • Identify patterns, trends, and actionable insights to inform data science projects and business initiatives.
  • Statistical Modeling & Machine Learning
    • Build, tune, and evaluate ML models (e.g., classification, regression, clustering, forecasting).
    • Leverage Vertex AI (AutoML, custom training, BigQuery ML) for scalable model development.
  • Generative AI & LLM Applications
    • Develop and deploy generative AI use cases using Vertex AI and Gemini.
    • Engage in prompt engineering, model fine-tuning, feature extraction, summarization, and more.
    • Design and implement advanced architectures such as Retrieval-Augmented Generation (RAG).
  • Model Deployment & MLOps
    • Use Vertex AI Pipelines, Model Registry, and Prediction Services to deploy and manage models.
    • Implement monitoring for model drift, bias detection, and performance tracking in production.
  • Experimentation & Validation
    • Design and analyze experiments (e.g., A/B testing) to measure model effectiveness and business impact.
    • Define evaluation metrics aligned with model fairness, quality, and real-world utility.
  • Cross-Functional Collaboration
    • Work closely with Data Engineers, Product Managers, and business stakeholders to scope, design, and deploy models.
    • Translate complex analytical results into clear, strategic business insights.

Required Qualifications

  • Bachelor's degree in Statistics, Computer Science, Data Science, or a related quantitative field.
  • 8-12 + years of experience in applied data science, machine learning, and statistical analysis.
  • Strong coding skills in Python or R for data analysis, modeling, and automation.
  • Hands-on experience with Vertex AI components (Notebooks, Pipelines, Training, Prediction).
  • Familiarity with Gemini or other LLMs; experience with prompt engineering or GenAI tools.
  • Strong analytical thinking, communication, and storytelling abilities.
  • Proven track record with GenAI, including LLM integration, fine-tuning, and RAG systems.
  • Deep expertise in the Vertex AI ecosystem (Feature Store, Vector Search, Agent Builder).
  • Solid understanding of MLOps practices and tools (e.g., CI/CD pipelines for ML).
  • Experience with TensorFlow, PyTorch, or JAX.