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Data Science Intern Jobs in Powder Springs, GA (NOW HIRING)

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

Align data science initiatives with strategic business objectives Governance & Ethics * Ensure ethical data practices and compliance with data privacy regulations * Maintain documentation and ...

Warnerbros

Staff, Data Science & Applied AI

Atlanta, GA · On-site

As Staff, Data Science & Applied AI, you will be a core technical contributor within the Enterprise Data & AI Solutions team supporting Warner Bros. Discovery's global portfolio - including Studios ...

State Farm

Lead Data Scientist - Gen AI

Dunwoody, GA · On-site

Data Science at State Farm: As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. In this role, you will share your knowledge and work to increase the use of ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Home Depot

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As an ...

Home Depot

Lead Data Scientist

Atlanta, GA · On-site

Based on the specific data science team, this role has expertise in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Lead Data ...

Home Depot

Data Scientist

Atlanta, GA · On-site

Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure ...

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

... Data Scientist with expertise in deep learning, particularly as applied to a combination of text ... Work Experience And Education Requirements • Master's degree in Computer Science, Statistics ...

Deluxe

Data Scientist

Atlanta, GA · On-site

$85K - $90K/yr

Bachelor's degree in Computer Science, Math, Statistics, Machine Learning, Analytic, Data Science and 0 to 2 years experience. Must be 18 years of age or older Preferred Qualifications: Education:

Datavault AI Inc.

Data Scientist

Atlanta, GA · On-site

Bachelor's degree in Computer Science, Statistics, Data Science, Machine Learning, or related quantitative discipline, or equivalent professional experience. Master's or PhD preferred. * 3+ years of ...

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 ...

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All JobsData Science Intern JobsData Science Intern Jobs in Powder Springs, GA

Data Science Intern information

See Powder Springs, GA salary details

$11

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$39

How much do data science intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data science intern in Powder Springs, GA is $21.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $23.22 per hour, depending on experience, location, and employer.

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.

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 job categories do people searching Data Science Intern jobs in Powder Springs, GA look for? The top searched job categories for Data Science Intern jobs in Powder Springs, GA are:
What cities near Powder Springs, GA are hiring for Data Science Intern jobs? Cities near Powder Springs, GA with the most Data Science Intern job openings:
Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Powder Springs, GA as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $44,325 per year, or $21.3 per hour.

Staff, Data Science & Applied AI

Warner Bros. Discovery

Atlanta, GA • On-site

Full-time

Posted 19 days ago

Warner Bros. Discovery rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

19th of 76 rated media

Job description

Welcome to Warner Bros. Discovery... the stuff dreams are made of.
Who We Are...
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Your New Role:
As Staff, Data Science & Applied AI, you will be a core technical contributor within the Enterprise Data & AI Solutions team supporting Warner Bros. Discovery's global portfolio - including Studios, Streaming, Linear Networks, Consumer Products, Games, and Direct-to-Consumer platforms.
This role is designed for a hands-on expert in applied data science who thrives at the intersection of statistical rigor, machine learning engineering, and business impact. You will translate complex business challenges into scalable analytical solutions, production-grade models, and data products that drive measurable enterprise value.
You will operate as a senior individual contributor, partnering closely with Product, Engineering, and Business stakeholders to design, develop, deploy, and scale advanced analytics and AI capabilities across the organization.
Key Responsibilities include:
Advanced Analytics & Machine Learning
  • Design, develop, and deploy statistical, predictive, and machine learning models across domains such as customer analytics, forecasting, personalization, optimization, and content performance.
  • Apply advanced techniques including ensemble methods, gradient boosting, deep learning, NLP, time-series forecasting, and recommendation systems.
  • Ensure model robustness through rigorous validation, monitoring, and performance tracking.

Generative AI & LLM Applications
  • Design and implement Generative AI solutions leveraging large language models (LLMs) for use cases such as knowledge retrieval, content intelligence, metadata enrichment, summarization, and workflow automation.
  • Develop and optimize prompt engineering strategies, evaluation frameworks, and guardrails to ensure high-quality, reliable outputs.
  • Architect Retrieval-Augmented Generation (RAG) pipelines integrating structured and unstructured enterprise data sources.
  • Fine-tune or adapt foundation models where appropriate using parameter-efficient techniques (e.g., LoRA, adapters) aligned with business needs.
  • Implement evaluation pipelines to measure hallucination rates, bias, latency, cost efficiency, and model quality in production environments.
  • Collaborate with Responsible AI and Governance teams to ensure compliance with enterprise AI policies, data privacy standards, and ethical AI practices.

Product Ionization & AI Engineering
  • Collaborate with Data Engineering and DevOps teams to productionize ML and GenAI solutions in scalable cloud environments.
  • Design CI/CD pipelines for model lifecycle management, including experimentation tracking, versioning, and automated retraining.
  • Implement monitoring frameworks for model drift, prompt drift, performance degradation, and data integrity.

Automation & AI Framework Development
  • Develop reusable ML and GenAI frameworks, accelerators, and internal utilities that improve productivity across teams.
  • Advance automation initiatives to reduce manual workflows and enhance analytical velocity.
  • Stay current with cutting-edge advancements in foundation models, multimodal AI, and agentic architectures to continuously elevate enterprise AI capabilities.

Qualifications & Experiences:
  • Bachelor's degree, MS, or greater in Computer/Data Science, Engineering, Mathematics, Statistics, or related quantitative discipline.
  • 8+ years relevant experience in data science, 2+experience in GenAI
  • Demonstrated track record of delivering production-grade AI/ ML solutions with measurable business impact.

Generative AI & Large Language Model (LLM) Expertise
  • Hands-on experience designing and deploying Generative AI solutions using large language models (e.g., GPT-class models, open-source foundation models, or enterprise LLM platforms).
  • Strong proficiency in prompt engineering, structured output design, few-shot learning strategies, and systematic prompt optimization
  • Experience building Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and enterprise data sources.
  • Familiarity with embedding models, semantic search, and vector stores (e.g., Pinecone, Weaviate, OpenSearch, FAISS, or equivalent).
  • Experience fine-tuning or adapting foundation models using parameter-efficient approaches (e.g., LoRA, adapters, instruction tuning).
  • Understanding of LLM evaluation methodologies, including hallucination detection, bias assessment, response quality scoring, and cost-performance trade-offs.
  • Exposure to multimodal AI (text, image, audio, video) and agent-based workflows is a plus.
  • Experience working with enterprise AI platforms (e.g., AWS Bedrock, Azure OpenAI, Databricks Model Serving, Snowflake Cortex, or equivalent).
  • Understanding of Responsible AI principles, data privacy considerations, and model governance requirements in regulated environments.

How We Get Things Done...
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

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