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Phd Causal Inference Jobs in Colorado (NOW HIRING)

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$129.3K

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How much do phd causal inference jobs pay per year?

As of Jul 18, 2026, the average yearly pay for phd causal inference in Colorado is $129,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $145,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD Causal Inference researcher, and why are they important?

To thrive as a PhD Causal Inference researcher, you need advanced knowledge of statistics, econometrics, and causal modeling, typically supported by a doctoral degree in a quantitative field. Familiarity with statistical programming languages (such as R or Python), specialized software (like STATA or SAS), and experience with experimental or quasi-experimental methods are essential. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These skills ensure rigorous, credible research that can inform policy, product development, or scientific understanding by accurately identifying causal relationships.

What collaborative opportunities can a PhD specializing in Causal Inference expect within a multidisciplinary research team?

PhD professionals in Causal Inference frequently collaborate with experts from fields such as epidemiology, economics, computer science, and public health. They often work closely with data scientists, subject matter experts, and statisticians to design studies, interpret complex datasets, and develop robust analytical models. This multidisciplinary environment fosters continuous learning and often leads to co-authorship on research publications, participation in grant writing, and involvement in high-impact policy or product decisions. Effective communication and teamwork skills are essential to translate technical findings for diverse audiences and drive actionable insights.

What is a PhD in Causal Inference?

A PhD in Causal Inference is an advanced research degree focused on understanding and identifying cause-and-effect relationships using statistical and computational methods. Students in this field learn to design studies, analyze data, and develop new methodologies to answer complex causal questions in areas such as social sciences, medicine, economics, and artificial intelligence. Graduates often work in academia, research institutions, or industries where evidence-based decision-making is essential.
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Phd Causal Inference jobs near you
Infographic showing various Phd Causal Inference job openings in Colorado as of July 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $129,261 per year, or $62.1 per hour.

Director, Data Science and AI

Publicis Groupe Holdings B.V

Westminster, CO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

Job description

Overview

Epsilon's Data Science & AI (DSAI) practice within Analytics Services team is seeking a Director of Analytics to lead the delivery of advanced analytics and AI solutions that drive measurable business impact for our clients.

In this role, you will partner closely with analytics consulting, strategy, and client service teams to translate complex business challenges into actionable data science and AI solutions. You will lead global onshore and offshore data science teams to deliver high-impact solutions while ensuring alignment with client objectives.

This role requires strong leadership and the ability to connect business strategy with advanced analytics and AI capabilities within a cross-functional, customer-focused environment.  

Responsibilities
  • Partner with analytics consulting, strategy, and client service teams to translate business needs into data science and AI solutions
  • Collaborate with cross-functional teams to ensure the successful execution of advanced analytics, machine learning and AI solutions for clients
  • Lead onshore and offshore data science teams in delivering end-to-end analytics solutions, including work prioritization, task allocation, and quality assurance of deliverables
  • Drive analytical rigor and procedures in modeling, experimentation (A/B testing, causal inference), and measurement
  • Contribute to initiatives that improve analytics delivery efficiency, including the standardization of methodologies, development of scalable frameworks, and adoption of innovative approaches
  • Communicate insights, recommendations, and business impact clearly to clients and collaborators
Qualifications
  • 10+ years of experience in data science, analytics, or machine learning (marketing analytics experience strongly preferred)
  • Strong expertise in statistical modeling, machine learning, and applied analytics
  • Experience leading onshore and offshore data science teams in a global delivery model
  • Strong understanding of experimentation and measurement (A/B testing, causal inference, multi-channel attribution)
  • Ability to translate complex analytical concepts into clear business recommendations
  • Experience working with large-scale data environments (e.g., Databricks, Spark) is preferred
  • Hands-on coding experience in Python is a plus
  • Familiarity with MLOps and Generative AI / LLM applications is a plus
  • Master's degree in a quantitative field (PhD or MBA a plus)

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.

Additional Information

When You Join Us, We'll Create Something EPIC TogetherEpsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Our pillars aren't just words. They're how we show up every day.

  • People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
  • Collaboration: We work together, support one another, and collectively achieve goals.
  • Growth: There are endless opportunities for growth through learning, development and career advancement.
  • Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
  • Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.

  • Act with integrity
  • Work together to win together
  • Innovate with purpose
  • Respect all voices
  • Empower with accountability

These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.

Because You Matter

As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first.  Our benefits encompass a wide range of offerings, including but not limited to the following:  

  • Time to Recharge: Flexible time off (FTO), 15 paid holidays
  • Time to Recover: Paid sick time  
  • Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance  
  • Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling  

Epsilon benefits are subject to eligibility requirements and other terms. 

Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.

For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.

 Compensation Range: USD $169,100.00 - USD $314,000.00/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 7/21/2026.Employment Type: FULL_TIME

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