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Modelling Jobs in Georgia (NOW HIRING)

Flight Centre Travel Group (usa) Inc

$72K - $90K/yr

... modelling, sensitivity analysis, and deal structuring insights Develop business cases and scenario analyses with clear assumptions, sensitivities, and recommendations Design and deliver KPI ...

AeroVect

CA$140K/yr

Build and operate scenario execution in the cloud: orchestration, parallelism, result aggregation, artifact capture, and runtime cost modelling * Build and extend the evaluation layer that turns a ...

Jaydu

Mechanical Design Engineer

Alpharetta, GA · On-site

$90 - $120/hr

Reverse Engineering, CAD Design & Detail Engineering, Drafting standards. CAD modelling, drafting and assembly concepts. Requirements Reqd: BS in Mech Eng +5 yrs of exp. #J-18808-Ljbffr

Jaydu LLC

Mechanical Design Engineer

Alpharetta, GA · On-site

$73K - $99K/yr

Reverse Engineering, CAD Design & Detail Engineering, Drafting standards. CAD modelling, drafting and assembly concepts. Requirements Reqd: BS in Mech Eng +5 yrs of exp. Job Location: Alpharetta, GA.

R2 Technologies Corporation

Data Modeler

Atlanta, GA · On-site

$52.75 - $68.25/hr

Data Modeler Remote Long Term 3-5 years of relevant experience in Data Modelling. JD Below : * Analyzing and translating business needs into long-term solution data models. * Evaluating existing data ...

Batchelor & Kimball

VDC (BIM) Specialist

Conyers, GA · On-site

On the job training on the use of modelling and collaboration software * On the job training on the creation of fabrication and installation drawings and documents * Shop drawings * Hanger drawings

Batchelor & Kimball

VDC (BIM) Specialist

Conyers, GA · On-site

On the job training on the use of modelling and collaboration software * On the job training on the creation of fabrication and installation drawings and documents * Shop drawings * Hanger drawings

MMS Holdings Inc

Study Design Statistician (US)

Atlanta, GA · On-site

$80 - $100/hr

Maintain current knowledge of relevant research techniques such as modelling, simulation and experimental design and participate in continuous professional development activity. * Support pre‑sales ...

New

Crh-bc0817a9

Data Scientist

Atlanta, GA · On-site

$120 - $160/hr

Support end-to-end ML workflows by contributing to data preparation, feature/label creation, baseline modelling, and evaluation * Apply reproducible build practices (modular code, version control ...

CRH

Data Scientist

Atlanta, GA · On-site

Support end-to-end ML workflows by contributing to data preparation, feature/label creation, baseline modelling, and evaluation * Apply reproducible build practices (modular code, version control ...

CRH

Data Scientist

Atlanta, GA · Hybrid

Support end-to-end ML workflows by contributing to data preparation, feature/label creation, baseline modelling, and evaluation * Apply reproducible build practices (modular code, version control ...

CRH

Data Scientist

Atlanta, GA · On-site

Support end-to-end ML workflows by contributing to data preparation, feature/label creation, baseline modelling, and evaluation * Apply reproducible build practices (modular code, version control ...

Navtech, Inc.

Sr. Apigee Developer

Atlanta, GA · On-site

Strong knowledge in API Modelling languages and annotation (YAML, Swagger, RAML) * Strong communication, interpersonal skills, customer service skills, customer focus

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Showing results 21-40

All JobsModelling JobsModelling Jobs in Georgia

Modelling information

See Georgia salary details

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How much do modelling jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for modelling in Georgia is $62.23, according to ZipRecruiter salary data. Most workers in this role earn between $56.83 and $71.25 per hour, depending on experience, location, and employer.

What is modelling?

Modelling is a profession where individuals, known as models, pose or display products, clothing, or accessories for advertising, promotional, or artistic purposes. Models work in a variety of settings, including fashion shows, print advertisements, commercials, and digital media. The field includes different types of modelling such as fashion, commercial, fitness, and runway modelling, each with its own requirements and expectations. Models collaborate with photographers, designers, and brands to help visually communicate ideas or sell products. Success in modelling often requires a combination of physical attributes, professionalism, and the ability to express emotions or concepts through poses and expressions.

What are the key skills and qualifications needed to thrive as a model?

To thrive as a Model, you need physical fitness, a strong portfolio, and an understanding of the fashion or commercial industry, often supported by agency representation or professional training. Familiarity with photo shoot protocols, posing techniques, and sometimes digital tools for virtual castings or portfolio management is important. Confidence, adaptability, and strong interpersonal skills help models build relationships and respond professionally to direction. These skills and qualities are crucial for consistently delivering the desired image, maintaining professionalism, and succeeding in a competitive industry.

What are some of the common challenges faced by professional models, and how can they prepare for them?

Professional models often encounter challenges such as maintaining a healthy work-life balance, dealing with irregular schedules, and adapting to varying client expectations. Additionally, models may work in fast-paced environments where adaptability and resilience are key. To prepare, it's helpful to develop strong time management skills, maintain a supportive network, and stay proactive in personal health and self-care. Building good relationships with agencies and consistently updating one's portfolio also contribute to ongoing career success.

What is the difference between Modelling vs Data Analysis?

AspectModellingData Analysis
Required credentialsStatistics, mathematics, or related degrees; often certifications in modelling techniquesStatistics, data science, or related degrees; certifications in data analysis tools
Work environmentFinancial, engineering, or scientific sectors; focus on creating predictive modelsBusiness, marketing, or research sectors; focus on interpreting data sets
Employer usageFinancial institutions, engineering firms, scientific researchCorporations, marketing agencies, research organizations
Common search intentUnderstanding predictive modelling techniques and careersInterpreting data insights and reporting

Modelling involves creating mathematical or statistical models to predict future outcomes, often requiring advanced quantitative skills. Data analysis focuses on examining data sets to extract meaningful insights, emphasizing interpretation and reporting. While both roles require analytical skills, modelling is more predictive and technical, whereas data analysis is more descriptive and interpretive.

Do beginner models get paid?

Beginner models can get paid, but the amount varies depending on the type of modeling, the market, and the agency. Some beginner models work for free or for portfolio development, while others earn hourly or project-based fees once they gain experience and build a portfolio. Payment terms are typically outlined in contracts or agency agreements.

How can you get into modeling?

To get into modeling, individuals typically build a portfolio of professional photos, gain experience through local or online agencies, and attend open casting calls or auditions. Having a good appearance, confidence, and understanding of industry standards can improve chances of success.

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

The most popular types of Modelling jobs in Georgia are:

What cities in Georgia are hiring for Modelling jobs?

Cities in Georgia with the most Modelling job openings:

Modelling jobs near you
Infographic showing various Modelling job openings in Georgia as of August 2026, with employment types broken down into 83% Full Time, 4% Part Time, 10% Contract, and 3% Nights. Highlights an 80% Physical, 11% Hybrid, and 9% Remote job distribution, with an average salary of $129,435 per year, or $62.2 per hour.

Sr. Principal Data Scientist

Warner Bros. Discovery

Atlanta, GA • On-site

Full-time

Re-posted 3 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 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's most senior technical ICs in Data Science and Machine Learning.
  • Lead the end-to-end design and implementation of advanced ML systems across:
    • Content intelligence & metadata enrichment
    • Audience modelling & personalization
    • Forecasting, optimization, and experimentation
    • Advertising intelligence & monetization analytics
  • Set technical direction and standards for complex ML implementations without direct people management.

2. Advanced Modelling & Scientific Excellence
  • Design and implement state-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 a final technical reviewer for high-risk or high-impact ML solutions.

3. Architecture of Scalable ML Systems
  • Architect production-grade ML systems integrated 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 deliver mission-critical AI solutions across:
    • 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 into clear, executive-ready insights that drive decisions.

5. Executive & Cross-Functional Influence (Without Line Management)
  • Serve as a trusted technical advisor to 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 through technical 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 years of total experience, with 13-15 years in 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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