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Ai Causal Inference Jobs (NOW HIRING)

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Job Summary We are seeking an experienced Data Scientist to drive causal inference, experimentation, measurement, personalization, and applied AI initiatives. The ideal candidate will have hands-on ...

Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts. * AI/ML: Build methods ...

AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people ... What you'll be doing * Design, build, and productionize a causal inference platform that ...

AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people ... What you'll be doing * Design, build, and productionize a causal inference platform that ...

Austin, Texas, United States Machine Learning and AI Services at Apple help hundreds of millions of ... Engineer end‑to‑end scalable and robust Causal Inference products which provide Apple with an ...

AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people ... What you'll be doing * Design, build, and productionize a causal inference platform that ...

Data Scientist, AI/ML

$220K - $290K/yr

Data Scientist, AI/ML Today's complex, fast-paced systems have become a minefield of reliability ... Apply advanced techniques, including causal inference, graph ML, time-series modeling, and ...

Data Scientist, AI/ML

$220K - $290K/yr

Data Scientist, AI/ML Today's complex, fast-paced systems have become a minefield of reliability ... Apply advanced techniques, including causal inference, graph ML, time-series modeling, and ...

You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference ... AI to improve productivity and generate new insights Curious business attitude with an ability to ...

You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference ... AI to improve productivity and generate new insights Curious business attitude with an ability to ...

Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts. * AI/ML: Build methods ...

Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts. * AI/ML: Build methods ...

The team conducts applied and fundamental research across areas including decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems ...

The team conducts applied and fundamental research across areas including decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems ...

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Ai Causal Inference information

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How much do ai causal inference jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for ai causal inference in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is an AI causal inference professional?

AI Causal Inference professionals specialize in using artificial intelligence and statistical methods to determine cause-and-effect relationships within data. Unlike traditional data analysts who may focus on correlations, these experts design experiments or apply mathematical models to uncover how changes in one variable influence another. Their work is crucial in fields like healthcare, economics, and social sciences, where understanding causality can inform better decisions and policies. They often use tools like causal diagrams, randomized controlled trials, and advanced machine learning techniques to draw robust conclusions.

What are the key skills and qualifications needed to thrive as an AI causal inference specialist?

To thrive as an AI Causal Inference Specialist, you need a strong background in statistics, machine learning, and causal modeling, typically supported by an advanced degree in a quantitative field. Familiarity with programming languages like Python or R, experience with causal inference libraries (such as DoWhy or CausalNex), and knowledge of statistical software are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex results and collaborate across multidisciplinary teams. These skills ensure accurate causal analysis, actionable insights, and reliable decision-making in data-driven environments.

What are some common challenges faced by professionals working in AI causal inference, and how can they be addressed?

Professionals in AI causal inference often encounter challenges such as dealing with incomplete or biased data, distinguishing correlation from true causation, and communicating complex findings to non-technical stakeholders. Addressing these challenges typically involves leveraging robust statistical methods, collaborating closely with domain experts, and maintaining transparency in modeling decisions. Continuous learning and staying updated with the latest research can also help navigate the rapidly evolving landscape of AI causal inference.

What other helpful pages are available for Ai Causal Inference?

Other pages related to Ai Causal Inference:

Infographic showing various Ai Causal Inference job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

AI Research & Innovation Lead

Chicago, IL

Transunion
IT Services • 5 - 10K employees

Full-time

Medical, Dental, Vision, PTO

Posted 12 days ago


TransUnion rating

9.3

Company rating: 9.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

TransUnion's Job Applicant Privacy Notice

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Team Overview

This role reports directly to Senior Manager, Data Science & Analytics within the AI R&D organization. This team is responsible for evaluating, developing and advancing next-generation AI capabilities that can create strategic advantage for TransUnion and its customers by engaging with TransUnion's internal clients across a broad array of credit, fraud, insurance and marketing business applications. You'll join a team that encourages curiosity, innovation, and scientific exploration with access to access to large-scale consumer, marketing, fraud, and risk datasets for applied AI research and opportunities to shape the future direction of AI-powered products and solutions across TransUnion's businesses. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview and Core Responsibilities

  • Modern cloud-based computing environments and access to state-of-the-art AI infrastructure for experimentation and rapid prototyping.
  • The freedom to investigate and evaluate emerging AI paradigms including neuro-symbolic systems, causal AI, knowledge graphs, autonomous agents, reasoning systems, and trustworthy AI.
  • Opportunities to publish, patent, present, and contribute to TransUnion's long-term innovation strategy.
  • Lead exploratory research initiatives focused on emerging AI techniques and their business applicability.
  • Drive innovation in areas such as: neuro-symbolic AI, reasoning systems, knowledge-enhanced machine learning, agentic AI, causal AI, explainable AI, human-AI collaboration.
  • Anticipate AI technology trends and assess their implications for TransUnion's products and services.
  • Design, build, and evaluate proof-of-concepts and prototypes that demonstrate the value of emerging AI technologies.
  • Create repeatable frameworks for assessing AI capabilities, limitations, risks, and business impact.
  • Collaborate with engineering teams to transition successful research concepts into production-ready solutions.
  • Represent TransUnion through publications and patents.

Required Knowledge and Experiences

  • Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, Data Science, Applied Mathematics, Engineering, Operations Research, or a closely related quantitative discipline
  • 8+ years of professional experience in AI, machine learning, advanced analytics, or related quantitative fields
  • Strong foundation in one or more of the following areas: Classical AI, knowledge representation via ontology, knowledge graphs and graph neural networks, automated reasoning systems, search and planning algorithms, causal inference and causal modeling, probabilistic graphical models, explainable and trustworthy AI
  • Advanced programming skills in Python and familiarity with modern AI development frameworks
  • Familiarity with consumer data, fraud detection, financial services, risk analytics, identity, or marketing applications

Benefits that support every part of your life:

At TransUnion, we design benefits to help youfeel well, do well, and plan well-from day one.

For Your Health: Enjoyday-one eligibilityfor medical, dental, and vision coverage, plus supplemental plan options. Spousal, domestic partner, and other eligible dependent coverage is available on select plans. Choose taxadvantagedHSAandFSAaccounts to make everyday care more affordable.

For Your Protection: We've got your back withcompanypaid basic life and AD&D, optionalvoluntary life and AD&Dfor you and your family, andshort and longterm disability. You can also opt into alegal plan,pet insurance, andtravel accident coverage.

For Your Family: Fromadoption assistance and fertility planning coveragetocaregiver support, we're here for every chapter. AccessDependent Care FSA for possibility of an employer match, a complimentaryCare@Workmembership, andup to 12 weeks of paid parental leavewith eligibility for a thoughtful, gradual return.

For Your Future: Build toward what's next with our401(k) with employer matchandEmployee Stock Purchase Plan (ESPP). Tapfinancial wellness resources,career coaching, and optionallongterm care insuranceto plan confidently.

For You: Grow and recharge withtuition reimbursement,flexible time off for exempt employees or paid time off for nonexempt employees, up to 12 paid holidays per year, commuter benefits, employeediscounts,charitable gift matching, andpaid volunteer time off, plus corporate volunteer events that make it easy to give back.

For Your Wellness: Access24/7 supportincluding professionaltherapy,coaching, and emotional wellbeing programs alongside guided meditation and resources that supportphysical, mental, social, and financial wellness.

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.

Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position.

Pay Scale Information:The U.S. base salary range for this position is $112,500.00 - $187,500 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents.

TransUnion Overview:

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver's seat of their professional development- while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that's why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good - you'll work with great people, pioneering products and cutting-edge technology.

TransUnion's Internal Job Title:

Advisor, Data Science and Analytics

Company:

TransUnion LLC

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