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Causal Inference Jobs in Denver, CO (NOW HIRING)

Expertise in designing experiments, causal inference, and decision science to support business strategies. * Proven leadership skills with experience mentoring and guiding technical teams.

New

Statistical and causal inference expertise -- strong command of experimental design, causal reasoning, and quasiโ€‘experimental methods (e.g., differenceโ€‘inโ€‘differences, synthetic control ...

... causal inference. * Proficiency with Python, SQL, cloud-based data ecosystems, modern AI/ML frameworks (e.g., Pandas, Scikit-Learn, PyTorch/TensorFlow, LangChain, Hugging Face, PydanticAI ...

... causal inference. * Proficiency with Python, SQL, cloud-based data ecosystems, modern AI/ML frameworks (e.g., Pandas, Scikit-Learn, PyTorch/TensorFlow, LangChain, Hugging Face, PydanticAI ...

Manager, Data Science

Denver, CO ยท On-site

$158 - $185/hr

Industry experience causal inference, regression, A/B, ML, and/or advanced statistical modeling to build predictive and prescriptive models * Experience using modern data analysis tools (SQL, Python ...

Manager, Data Science

Denver, CO ยท On-site

$158 - $185/hr

Industry experience causal inference, regression, A/B, ML, and/or advanced statistical modeling to build predictive and prescriptive models * Experience using modern data analysis tools (SQL, Python ...

New

Senior Marketing Analyst

Denver, CO ยท On-site

$80K - $90K/yr

Knowledge of statistical testing, experimentation, forecasting, predictive modeling, and causal inference methodologies. * Business Skills * Strong understanding of marketing measurement, customer ...

Knowledge of statistical testing, experimentation, forecasting, predictive modeling, and causal inference methodologies. * Business Skills * Strong understanding of marketing measurement, customer ...

Senior Marketing Analyst

Denver, CO ยท On-site

$80K - $90K/yr

Knowledge of statistical testing, experimentation, forecasting, predictive modeling, and causal inference methodologies. * Business Skills * Strong understanding of marketing measurement, customer ...

Knowledge of statistical testing, experimentation, forecasting, predictive modeling, and causal inference methodologies. * Business Skills * Strong understanding of marketing measurement, customer ...

Knowledge of statistical testing, experimentation, forecasting, predictive modeling, and causal inference methodologies. * Business Skills * Strong understanding of marketing measurement, customer ...

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Causal Inference information

See Denver, CO salary details

$56.6K

$102.1K

$139.5K

How much do causal inference jobs pay per year?

As of Aug 20, 2026, the average yearly pay for causal inference in Denver, CO is $102,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $111,700.00 per year, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Causal Inference jobs in Denver, CO?

The most popular types of Causal Inference jobs in Denver, CO are:

Infographic showing various Causal Inference job openings in Denver, CO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $102,136 per year, or $49.1 per hour.

(USA) Senior Manager, Data Science

Socket.dev

Denver, CO โ€ข On-site

$121 - $242/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Position Summary

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy robust predictive models that drive strategic business decisions. This role requires expertise in statistical modeling, machine learning, and data visualization to translate complex data into actionable insights. The position involves collaborating with crossโ€‘functional teams to align data solutions with business objectives, mentoring associates, and ensuring the continuous improvement of data science practices. The ideal candidate demonstrates strong technical proficiency, business acumen, and effective communication skills to influence stakeholders and support Walmartโ€™s commitment to innovation and operational excellence.

What youโ€™ll do

About the team: The Walmart/VIZIO Data Science team provides the analytical foundation for product decisions by leveraging experimentation and causal measurement. The team collaborates across functions to identify key drivers of user engagement and business value, guiding strategic investments and development priorities. Utilizing advanced data science, machine learning, and visualization techniques, the team delivers actionable insights that influence business outcomes. Members apply rigorous analytical methods and domain knowledge to solve complex problems, support model development, and communicate findings effectively to stakeholders, fostering dataโ€‘driven decisionโ€‘making throughout the organization.

What youโ€™ll do:

  • Lead the development, assessment, and validation of advanced data science models using best practices for accuracy, robustness, and scalability.
  • Design and implement data visualization solutions to effectively communicate complex insights to business stakeholders.
  • Collaborate with crossโ€‘functional teams to translate business requirements into actionable data science projects aligned with strategic goals.
  • Guide and mentor team members on advanced modeling techniques, feature engineering, and experimentation frameworks.
  • Oversee deployment and continuous monitoring of models in production environments to ensure optimal performance.
  • Drive data source identification, quality assessment, and integration to support analytical initiatives.
  • Foster a culture of continuous improvement by leveraging emerging machine learning and AI methodologies.

What youโ€™ll bring:

  • Extensive experience in data science, machine learning, and advanced statistical modeling techniques.
  • Proficiency in Python, SQL, and data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
  • Strong knowledge of model assessment, validation, and tuning methods including ROC curve and root mean square error.
  • Ability to translate complex business requirements into dataโ€‘driven solutions and actionable insights.
  • Expertise in designing experiments, causal inference, and decision science to support business strategies.
  • Proven leadership skills with experience mentoring and guiding technical teams.
  • Excellent communication skills to present data findings effectively to diverse stakeholders.
Benefits
  • At Walmart, we offer competitive pay as well as performanceโ€‘based bonus awards and other great benefits for a happier mind, body, and wallet.
  • Health benefits include medical, vision and dental coverage.
  • Financial benefits include 401(k), stock purchase and companyโ€‘paid life insurance.
  • Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
  • Other benefits include shortโ€‘term and longโ€‘term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
  • You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
  • Live Better U is a Walmartโ€‘paid education benefit program for fullโ€‘time and partโ€‘time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and shortโ€‘form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see https://one.walmart.com.

Denver, Colorado US-11581: The annual salary range for this position is $121,000.00 - $242,000.00

New York, New York US-11582: The annual salary range for this position is $132,000.00 - $264,000.00

Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include:

  • Stock
Minimum Qualifications
  • Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 yearsโ€™ experience in an analytics related field.
  • Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 yearsโ€™ experience in an analytics related field.
  • Option 3: 7 yearsโ€™ experience in an analytics or related field.
Preferred Qualifications
  • Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
  • Successful completion of one or more assessments in Python, Spark, Scala, or R.
  • Supervisory experience.
  • Using open source frameworks (for example, scikit learn, tensorflow, torch).
  • We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
  • The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmartโ€™s accessibility standards and guidelines for supporting an inclusive culture.
Primary Location

55 Madison St, Denver, CO 80206-5419, United States of America

Walmart and its subsidiaries are committed to maintaining a drugโ€‘free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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