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Causal Inference Jobs in Georgia (NOW HIRING)

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 ...

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 ...

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 ...

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.

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 ...

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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Showing results 1-20

Causal Inference information

See Georgia salary details

$46.4K

$83.8K

$114.4K

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 cities in Georgia are hiring for Causal Inference jobs? Cities in Georgia with the most Causal Inference job openings:
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.

Associate Director, Data Science

Publicis Groupe Holdings B.V

Atlanta, GA • On-site

$56K - $57K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Company Description

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.

The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.

This role at Digitas will serve as a member of Publicis Groupe's strategic internal agency, Constellation.

Constellation serves as an internal-facing brand formed by a collective of Publicis Groupe agencies to address our client's creative, data, strategy, media, and technology requirements. Team members collaborate across agencies while functioning as sub-divisions within their respective brands to provide dedicated support for the client. By acting as a unified interface, Constellation eliminates operational silos and presents a single service entity and primary point of contact for the client.

Overview

By implementing conceptual data frameworks and developing marketing science solutions, The Associate Director, Data Science is a key partner for our client and internal teams. In this role, you will show thought leadership in bringing innovative data science methodologies that answer our client's marketing and strategy questions.

Responsibilities

Client & Business Impact

  • Serve as a strategic advisor to clients and internal stakeholders on data science applications and approaches
  • Translate analytical work into clear business value and actionable recommendations
  • Identify opportunities to expand data science impact and contribute to organic account growth

Project & Cross-Capability Leadership

  • Lead multiple concurrent data science projects across clients and capabilities with varying complexity
  • Define project approach, manage risks, and align stakeholders on priorities and outcomes
  • Partner across media, strategy, analytics, and technology teams to deliver integrated solutions
  • Represent data science across cross-functional initiatives and client engagements

Thought Leadership & Innovation

  • Provide a clear point of view on statistical methods, machine learning, and measurement approaches
  • Evaluate, develop, and socialize new methodologies, tools, and AI-driven solutions
  • Apply innovative thinking to solve complex marketing and business problems

Team Leadership & Culture

  • Mentor and develop junior team members through coaching and feedback
  • Foster a collaborative, inclusive, and high-performing team environment
  • Contribute to capability development, training, and best practices
Qualifications
  • 7-9 years of experience in data science, analytics, or marketing science within an agency, consulting, or technology environment
  • Strong foundation in statistical modeling, machine learning, causal inference, and experimental design
  • Proficiency in SQL, Python and/or R; experience with distributed systems or large-scale data processing preferred
  • Experience with Marketing Mix Modeling (MMM), attribution, and incrementality measurement
  • Hands-on experience with cloud platforms (preferably GCP: BigQuery, Looker, DataProc) and deploying data science solutions
  • Strong understanding of modern AI/ML approaches and their practical applications
  • Proven ability to connect data science solutions to business outcomes and client value
  • Demonstrated experience leading multiple projects and influencing cross-functional teams
  • Experience managing and developing data science talent
  • Excellent communication skills, with the ability to synthesize complex concepts for a range of audiences
  • Comfortable navigating ambiguity in fast-paced, evolving environments
Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

 Compensation Range: USD $112,290.00 - USD $161,280.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 7/15/2026.Employment Type: FULL_TIME