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Data Science Machine Learning Jobs in Georgia (NOW HIRING)

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 ...

loomis

Data Scientist

Suwanee, GA · On-site

Technical Leadership & Collaboration Required Qualifications * 6+ years of professional experience in data science, machine learning, or advanced analytics * Advanced proficiency with Python and data ...

loomis

Data Scientist

Suwanee, GA · On-site

Technical Leadership & Collaboration Required Qualifications * 6+ years of professional experience in data science, machine learning, or advanced analytics * Advanced proficiency with Python and data ...

Loomis

Data Scientist

Suwanee, GA · On-site

Technical Leadership & Collaboration Required Qualifications * 6+ years of professional experience in data science, machine learning, or advanced analytics * Advanced proficiency with Python and data ...

Loomis Armored US, LLC

Data Scientist

Suwanee, GA · On-site

Technical Leadership & Collaboration Required Qualifications * 6+ years of professional experience in data science, machine learning, or advanced analytics * Advanced proficiency with Python and data ...

YO AI Labs

AI Data Science Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

Posted today

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Establish and promote best practices in data science, machine learning, experimentation, model governance, and MLOps throughout the organization. * Lead proof-of-concept (POC) initiatives to evaluate ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Establish and promote best practices in data science, machine learning, experimentation, model governance, and MLOps throughout the organization. * Lead proof-of-concept (POC) initiatives to evaluate ...

R2 Technologies Corporation

Data Analyst

Alpharetta, GA · On-site

Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field. * 3 years of experience applying data science, AI/machine learning, or analytics techniques to business ...

iNovex Information Systems

Data Scientist 2

Augusta, GA · On-site

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

iNovex Information Systems

Data Scientist 3

Augusta, GA · On-site

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

Shoptalk

Senior Data Scientist

Alpharetta, GA · On-site

$140 - $190/hr

Experience You'll Need to Have: * 8+ years of experience in data science, machine learning, applied statistics, advanced analytics, or ML engineering. * Strong hands‑on experience with Python, SQL ...

Monitise

Senior Data Scientist

Alpharetta, GA

Experience You'll Need to Have: * 8+ years of experience in data science, machine learning, applied statistics, advanced analytics, or ML engineering. * Strong hands-on experience with Python, SQL ...

Fiserv, Inc.

Senior Data Scientist

Alpharetta, GA · On-site

Experience You'll Need to Have: * 8+ years of experience in data science, machine learning, applied statistics, advanced analytics, or ML engineering. * Strong hands-on experience with Python, SQL ...

YO AI Labs

AI Data Scientist Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

Posted today

B Capital

Data Scientist Sr Lead

Atlanta, GA · On-site

$120 - $180/hr

Establish and promote best practices in data science, machine learning, experimentation, model governance, and MLOps throughout the organization * Lead proof-of-concept (POC) initiatives to evaluate ...

CYNET SYSTEMS

Data Engineer

Alpharetta, GA

$55/hr

The ideal candidate must have data science and machine learning foundations with strong Python and full stack engineering skills with Angular and can translate business problems into effective secure ...

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All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Georgia

Data Science Machine Learning information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do data science machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science machine learning 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 are the key skills and qualifications needed to thrive as a data science machine learning professional?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a data science machine learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.
What cities in Georgia are hiring for Data Science Machine Learning jobs? Cities in Georgia with the most Data Science Machine Learning job openings:
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

Sr. Principal Data Scientist

Warnerbros

Atlanta, GA • On-site

Full-time

Re-posted 24 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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