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Intern Data Scientist Machine Learning Jobs in Georgia

Warnerbros

Sr. Principal Data Scientist

Atlanta, GA · On-site

Discovery-serving as a company-wide authority in advanced Data Science, Machine Learning, and Applied AI. This role is designed for an elite practitioner with 15-18+ years of experience, including 10 ...

Crew Career Center

Data Scientist

Atlanta, GA

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

Patientco

Data Scientist

Atlanta, GA

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

Smarsh

Lead Data Scientist

Atlanta, GA

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Development of machine learning models and other analytics following established workflows, while ...

Smarsh

Lead Data Scientist

Atlanta, GA

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Development of machine learning models and other analytics following established workflows, while ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

Experience applying data science and machine learning techniques including logistic regression, natural language processing (NLP), clustering, neural networks, deep learning, image recognition, and ...

Cortland

Data Scientist - Atlanta, GA

Atlanta, GA · On-site

Role Overview As a Data Scientist, you'll design and deploy advanced analytics and machine learning solutions that address critical investment and operational challenges. Your work will transform ...

New

STEMtech

Data Scientist

Atlanta, GA · On-site

We are looking for a data scientist that will help us discover the information hidden in vast ... Selecting features, building and optimizing classifiers using machine learning techniques * Data ...

STEMtech

Data Scientist

Atlanta, GA · On-site

Selecting features, building and optimizing classifiers using machine learning techniques * Data ... Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at ...

Everwatch

Data Scientist, Senior

Augusta, GA

$62.50 - $69.72/hr

Experience applying data science and machine learning techniques including logistic regression, natural language processing (NLP), clustering, neural networks, deep learning, image recognition, and ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

Experience applying data science and machine learning techniques including logistic regression, natural language processing (NLP), clustering, neural networks, deep learning, image recognition, and ...

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All JobsIntern Data Scientist Machine Learning JobsIntern Data Scientist Machine Learning Jobs in Georgia

Intern Data Scientist Machine Learning information

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Georgia? The most popular types of Data Scientist Machine Learning jobs in Georgia are:
What are popular job titles related to Intern Data Scientist Machine Learning jobs in Georgia? For Intern Data Scientist Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Intern Data Scientist Machine Learning jobs in Georgia look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Intern Data Scientist Machine Learning jobs? Cities in Georgia with the most Intern Data Scientist Machine Learning job openings:
Intern Data Scientist Machine Learning jobs near you
Infographic showing various Intern Data Scientist Machine Learning job openings in Georgia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Sr. Principal Data Scientist

Warnerbros

Atlanta, GA • On-site

Full-time

Re-posted 18 days ago

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 a Sr. Principal Data Scientist, you will operate at the highest technical individual-contributor level at Warner Bros. Discovery-serving as a company-wide authority in advanced Data Science, Machine Learning, and Applied AI.

This role is designed for an elite practitioner with 15-18+ years of experience, including 10-14 years of deep, hands-on expertise in Data Science, ML, and AI systems at enterprise scale. Unlike leadership or management roles, this position is purely an IC role, focused on technical depth, architectural rigor, and scientific excellence, without formal people-management responsibilities.

You will design, architect, and deliver some of WBD's most complex and business-critical AI systems, directly influencing how the company creates, distributes, personalizes, monetizes, and optimizes content across streaming, linear TV, advertising, and direct-to-consumer platforms.

This is a hands-on, high-impact role for a technologist who thrives on solving unsolved problems, pushing the boundaries of applied ML, and translating advanced science into durable business advantage.

1. Enterprise-Grade Applied AI & ML Leadership (IC)

  • Act as one of WBD'smost senior technical ICsin Data Science and Machine Learning.
  • Lead theend-to-end design and implementationof advanced ML systems across:
    • Content intelligence & metadata enrichment
    • Audience modelling & personalization
    • Forecasting, optimization, and experimentation
    • Advertising intelligence & monetization analytics
  • Settechnical direction and standardsfor complex ML implementations without direct people management.

2. Advanced Modelling & Scientific Excellence

  • Design and implementstate-of-the-art models, including:
    • Large-scale recommender systems
    • Time-series forecasting & probabilistic models
    • Causal inference, experimentation & uplift modelling
    • NLP, generative AI & multimodal ML systems
    • Computer vision & video intelligence pipelines
  • Apply rigorous statistical thinking, experimentation discipline, and scientific validation to all solutions.
  • Serve as afinal technical reviewerfor high-risk or high-impact ML solutions.

3. Architecture of Scalable ML Systems

  • Architectproduction-grade ML systemsintegrated with WBD's cloud data ecosystem (AWS, Snowflake, GCP).
  • Define best practices for:
    • Feature engineering & feature stores
    • Model lifecycle management & MLOps
    • CI/CD for ML, model monitoring, and drift detection
    • Reproducibility, governance, and responsible AI
  • Partner deeply with data engineering, platform, and product engineering teams to ensure scalable, resilient delivery.

4. High-Impact Business Problem Solving

  • Own and delivermission-critical AI solutionsacross:
    • Content performance prediction & ratings intelligence
    • Marketing attribution & lifecycle analytics
    • Search, discovery & ranking systems
    • Ad load optimization & pricing intelligence
    • Operational forecasting & automation
  • Translate complex modelling outputs intoclear, executive-ready insightsthat drive decisions.

5. Executive & Cross-Functional Influence (Without Line Management)

  • Serve as atrusted technical advisorto senior leaders across Streaming, Content, Ad Sales, Marketing, and Technology.
  • Communicate complex ML concepts with clarity and credibility to non-technical stakeholders.
  • Influence enterprise AI roadmaps, architectural decisions, and investment priorities through expertise-not hierarchy.

6. Technical Mentorship & Community Leadership

  • Mentor senior and staff-level data scientists throughtechnical guidance, design reviews, and deep problem-solving.
  • Contribute to internal AI communities of practice, technical forums, and standards bodies.
  • Elevate overall engineering and scientific rigor across the Data Science organization.

Qualifications & Experiences:

  • Master's or Ph.D.in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, Operations Research, or related disciplines.
  • 18-20 yearsof total experience, with13-15 yearsin Data Science/ML, including hands-on technical leadership.
  • Deep expertise in:
    • Predictive modeling, optimization, and advanced ML techniques
    • MLOps and large-scale model deployment
    • Modern cloud ecosystems (AWS/GCP/Snowflake)
    • Python, PyTorch, TensorFlow, SQL, ML frameworks
    • Experiment design, causal inference, and statistical modeling
  • Demonstrated experience in Media & Entertainment, streaming, digital advertising, or consumer intelligence.
  • Strong track record of delivering enterprise-impact through AI solutions.
  • Exceptional communication skills, including the ability to influence executives and inspire technical teams.

Preferred

  • Experience developing or customizing Large Language Models or multimodal foundation models.
  • Patent, publication, or conference-track record in ML/AI.
  • Experience with video intelligence, CV for media workflows, or content metadata systems.
  • Experience partnering with product and engineering organizations in a fast-paced environment.

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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