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Causal Inference Jobs in Georgia (NOW HIRING)

Elevance Health

Engineer Senior

Atlanta, GA · Hybrid

$100K - $138K/yr

Experience with Causal Inference highly preferred. Job Level: Non-Management Exempt Workshift: Job Family: IFT > Engineering/Dev Please be advised that Elevance Health only accepts resumes for ...

Floor & Décor

Lead Data Scientist, AI

Atlanta, GA

Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI). * Collaborate with data engineers on feature ...

Elevance Health

Engineer Senior

Atlanta, GA · Hybrid

$100K - $138K/yr

Experience with Causal Inference highly preferred. Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any ...

Stord

Director of Decision Science

Atlanta, GA

Thatmeans rigorous A/B test design, lift measurement, causal inference where appropriate,and a framework the rest of the business can use to run experiments without coming toyour team for every one.

OneTrust

Senior Principal Data Analyst

Atlanta, GA · On-site

$139K - $208K/yr

Apply advanced statistical techniques, including causal inference methods, to analyze complex datasets and derive actionable insights. * Ensure data accuracy and consistency across all reporting ...

Stord, Inc.

Director of Decision Science

Atlanta, GA · On-site

That means rigorous A/B test design, lift measurement, causal inference where appropriate, and a framework the rest of the business can use to run experiments without coming to your team for every ...

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How much do causal inference jobs pay per year?

As of Jun 22, 2026, the average yearly pay for causal inference in Georgia is $83,789.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,600.00 and $91,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Causal Inference position, and why are they important?

Success in a Causal Inference role requires strong statistical knowledge, expertise in experimental and quasi-experimental methodologies, and advanced proficiency in programming languages like R or Python, typically acquired with an advanced degree in statistics, economics, data science, or a related field. Familiarity with specialized statistical software (such as Stata, SAS, or causal inference packages in R/Python), as well as experience with large datasets and machine learning tools, is highly valued. Excellent problem-solving abilities, clear communication, and collaboration skills are essential soft skills for effectively conveying complex findings to diverse teams. These competencies are critical to producing reliable insights that guide evidence-based decision-making in business, healthcare, or policy settings.

What are some common challenges faced in a Causal Inference position?

Professionals in Causal Inference often encounter challenges such as dealing with confounding factors, addressing selection bias, and ensuring the validity of assumptions behind statistical models. They must carefully design experiments or leverage observational data while staying vigilant about potential data quality issues and model limitations. Collaboration with subject matter experts, data engineers, and business stakeholders is common to ensure accurate contextualization of results. Overcoming these challenges requires a mix of technical acumen and strong communication skills to translate complex analyses into actionable recommendations.

What is a Causal Inference job?

A Causal Inference job involves using statistical and computational methods to determine cause-and-effect relationships from data. Professionals in this field work with observational and experimental data to identify causal impacts, often in domains like economics, healthcare, social sciences, and technology. They apply techniques such as propensity score matching, instrumental variables, and difference-in-differences to ensure rigorous analysis. These roles are commonly found in academia, policy research, and data science teams within tech and finance companies. Strong skills in statistics, programming (e.g., Python, R), and experimental design are typically required.

What are the most commonly searched types of Causal Inference jobs in Georgia? The most popular types of Causal Inference jobs in Georgia are:
What are popular job titles related to Causal Inference jobs in Georgia? For Causal Inference jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in Georgia look for? The top searched job categories for Causal Inference jobs in Georgia are:
What cities in Georgia are hiring for Causal Inference jobs? Cities in Georgia with the most Causal Inference job openings:
Causal Inference jobs near you
Infographic showing various Causal Inference job openings in Georgia as of June 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 79% In-person, 2% Hybrid, and 19% Remote job distribution, with an average salary of $83,789 per year, or $40.3 per hour.
Sr. Principal Data Scientist

Sr. Principal Data Scientist

Warner Bros. Discovery

Atlanta, GA • On-site

Full-time

Posted 4 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

15th of 65 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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