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Causal Inference Jobs in Atlanta, GA (NOW HIRING)

Strong background in A/B testing, causal inference, ML fundamentals, and data storytelling. * Technical Skills: Proficiency in SQL and Python/R; statistical modeling; experience with product growth ...

Statistical rigor - survival analysis, A/B test design, causal inference, regression modeling; understands the difference between correlation and causation * Machine learning breadth - classification ...

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 ...

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 ...

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.

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 ...

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 ...

... and inference questions. Ability to explain argument structure, conditional logic, causal reasoning patterns, and formal logic principles while preparing students for competitive law school ...

... and inference questions. Ability to explain argument structure, conditional logic, causal reasoning patterns, and formal logic principles while preparing students for competitive law school ...

... and inference questions. Ability to explain argument structure, conditional logic, causal reasoning patterns, and formal logic principles while preparing students for competitive law school ...

Showing results 21-40

Causal Inference information

See Atlanta, GA salary details

$52.9K

$95.4K

$130.3K

How much do causal inference jobs pay per year?

As of Aug 11, 2026, the average yearly pay for causal inference in Atlanta, GA is $95,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $104,300.00 per year, depending on experience, location, and employer.

Is causal inference still relevant?

Causal inference is a vital skill for data analysts and researchers, as it helps determine cause-and-effect relationships in data. It remains highly relevant across industries such as healthcare, economics, and technology, especially with the increasing availability of large datasets and advanced statistical tools like R and Python. Professionals in this field are in demand for designing experiments, analyzing observational data, and informing decision-making processes.

What skills and qualifications are needed for a causal inference position?

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 jobs use causal inference?

Causal inference is used in various roles such as data scientist, epidemiologist, econometrician, and policy analyst. These jobs involve analyzing data to determine cause-and-effect relationships, often using statistical tools and programming languages like R or Python. Professionals in these fields work in industries like healthcare, finance, government, and technology to inform decision-making and policy development.

What are 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?

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 Atlanta, GA? The most popular types of Causal Inference jobs in Atlanta, GA are:
What are popular job titles related to Causal Inference jobs in Atlanta, GA? For Causal Inference jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in Atlanta, GA look for? The top searched job categories for Causal Inference jobs in Atlanta, GA are:
Infographic showing various Causal Inference job openings in Atlanta, GA as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 70% Physical, 2% Hybrid, and 28% Remote job distribution, with an average salary of $95,426 per year, or $45.9 per hour.

Product Science Manager

Seek Now

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

About Seek Now
Seek Now is transforming property inspections through technology, data, and human expertise. We deliver faster, smarter, more reliable insights to insurance carriers and single-family rental markets, and we're just getting started. If you want to be part of a product-driven, tech-forward team building real-world impact at scale, you're in the right place.
The Opportunity
As the Product Science Manager, you'll establish and lead the Product Science function at Seek Now. You'll ensure product decisions are grounded in rigorous experimentation, advanced analysis, and practical application of AI tools. Partnering with Product, Data, Engineering, and Design, you'll build a culture of evidence-based decision making and help teams confidently leverage AI in their day-to-day work.
What You'll Do
AI & Tooling
  • Define and deliver a roadmap of AI-powered tools and workflows that support product discovery, prioritization, definition, development, and customer insight generation.
  • Establish and champion AI best practices across the product organization, ensuring outputs (e.g., AI-generated PRDs, analyses, or insights) are accurate, ethically sound, and validated by product managers.
  • Evaluate emerging AI/ML capabilities to improve the product development lifecycle.
  • Own AI-assisted opportunity evaluation for new business ideas and feature requests; build and maintain prompt/playbook pipelines and produce AI Opportunity Readouts for roadmap forums.
  • Operationalize AI-generated product collateral: prototypes, PRDs, user stories, release notes, and user docs; implement human-in-the-loop review standards and quality gates.

Experimentation & Analytics
  • Own product usage analytics via Userpilot and adjacent tools; apply AI-assisted evaluation to surface patterns and deliver recurring Product Usage Reports.
  • Monitor industry news and client developments; synthesize a monthly Market & Client Trends Brief using AI-driven evaluation.

Education & Enablement
  • Train and mentor product managers and cross-functional partners on AI literacy, experimentation best practices, and data-driven product development.
  • Own the Customer Listening Database; publish quarterly Voice-of-Customer Reports.
  • Create playbooks, templates, and self-serve resources for AI and experimentation.
  • Act as an internal evangelist for evidence-based decision making.

Leadership & Collaboration
  • Lead a small team of Product Scientists and Analysts (starts as IC with opportunity to build a team).
  • Collaborate across Product, Engineering, Data, and Design so science-driven insights shape the roadmap.
  • Communicate complex AI and data concepts clearly to executives and non-technical stakeholders.
What We're Looking For
  • Experience: 4-5+ years in Product Analytics, Data Science, Experimentation, or Product Science; 2+ years in leadership/management.
  • Expertise: Strong background in A/B testing, causal inference, ML fundamentals, and data storytelling.
  • Technical Skills: Proficiency in SQL and Python/R; statistical modeling; experience with product growth platforms like Userpilot (nice to have).
  • AI Skills: Experience using modern LLMs and generative AI to optimize workflows and integrate AI into product processes.
  • Product Sense: Deep understanding of product development and how insights influence roadmaps.
  • Soft Skills: Excellent communicator, educator, and influencer who thrives at the intersection of science and product strategy.
Why You'll Love It Here
  • Tech-First Culture: We believe in building smart, scalable systems-and we invest in them.
  • Real-World Impact: Your work will touch thousands of users every day, improving workflows and outcomes.
  • Autonomy + Collaboration: Own your space while being part of a highly connected, supportive team.
  • Growth-Minded Environment: We prioritize learning, innovation, and pushing the limits of what's possible.

Benefits and Perks:
Seek Now offers a great benefit package, which includes health, dental and vision insurance, 401K with company match, paid time off (PTO), short and long-term disability insurance, AD&D insurance, life insurance, and more!
EEO Statement:
Seek Now is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. Seek Now does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Other Duties Disclaimer:
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Activities, duties, and responsibilities may change or new ones may be assigned at any time with or without notice.
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