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Causal Inference Jobs in Chicago, IL (NOW HIRING)

Wand

Product Data Analyst

Chicago, IL · Remote

$145K - $175K/yr

Causal inference methods (diff-in-diff, regression discontinuity, propensity matching) * Prior work on LTV, retention, or subscription models * Experience building metrics frameworks or KPI ...

Ritchie Bros.

Staff Data Scientist

Westchester, IL

Design and analyze experiments (A/B tests, causal inference) to measure model and product impact * Perform feature engineering, data validation, and quality assurance across large, complex datasets

Tempus

Data Scientist II, Outcomes Research

Chicago, IL · On-site +1

$100K - $150K/yr

Stay current with the latest methodological advances in RWE, including causal inference and pharmacoepidemiologic methods. * Build analytical infrastructure, including reusable code, templates, and ...

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All JobsCausal Inference JobsCausal Inference Jobs in Chicago, IL

Causal Inference information

See Chicago, IL salary details

$56.7K

$102.2K

$139.6K

How much do causal inference jobs pay per year?

As of Jul 20, 2026, the average yearly pay for causal inference in Chicago, IL is $102,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $111,800.00 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 Chicago, IL? The most popular types of Causal Inference jobs in Chicago, IL are:
What are popular job titles related to Causal Inference jobs in Chicago, IL? For Causal Inference jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in Chicago, IL look for? The top searched job categories for Causal Inference jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Causal Inference jobs? Cities near Chicago, IL with the most Causal Inference job openings:
Causal Inference jobs near you
Infographic showing various Causal Inference job openings in Chicago, IL as of July 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $102,222 per year, or $49.1 per hour.
Data Science Director - Marketing Investment Analytics

Data Science Director - Marketing Investment Analytics

Amgen

Deerfield, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 8 days ago

Job description

Career CategorySales & Marketing OperationsJob DescriptionJoin Amgen's Mission of Serving Patients

At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Data Science Director - Marketing Investment AnalyticsWhat you will do

Let's do this. Let's change the world. In this vital role we are looking for an analytics executive who possesses excellent communication skills. The DS Director - Marketing Investment Analytics, will play a pivotal role in providing inputs, insights, and recommendations towards shaping and implementing our marketing strategies, ensuring our products reach the right audience and have a positive impact on patients' lives.

This role will lead the team responsible for is responsible for analyzing the performance of our commercial investments across sales, online and offline channels and provides analytical support throughout the investment lifecycle including sizing, experimental test design, measurement, optimization, and scenario planning.

The lead will oversee a group of data scientists leveraging advanced statistical modeling techniques working on the development of a suite of Marketing Mix Models and Multi-Touch Attribution models to holistically measure the incremental impact that marketing has on financial outcomes and build the framework to scenario plan and optimize investments across products, channels, and time.

This is a flex commuter/hybrid position in either Thousand Oaks, CA or Deerfield, IL offices, expected to be in office up to 3 times a week.

  • Build, maintain, and evolve market level marketing mix models to estimate the causal impacts of marketing activities on Amgen's financial outcomes in the short and long term
  • Leverage non-linear constrained optimization to operationalize the suite of Marketing Mix Models and develop a scenario planning and optimization tool that can be used by the Marketing Analytics and Marketing teams to optimize marketing investments across products, channels, markets, and time
  • Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Design, implement, and analyze experiments and quasi-experiments to measure the impact of new commercial initiatives
  • Accountable for measurement of spend efficiency and for recommendations on optimization of future spend across brands, tactics, channels, and audience types.
  • Collaborate with Marketing, Media, Finance and other Analytics teams to help create marketing budgets and supervise spending to ensure cost-effectiveness and improve ROI.
  • Hire, coach, mentor and lead a team of analytical leads that deliver data driven recommendations that inform commercial investment decisions
What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications.

Basic Qualifications:

Doctorate degree and 4 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)

Or

Master's degree and 8 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)

Or

Bachelor's degree and 10 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)

In addition to meeting at least one of the above requirements, you must have at least 4 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources. Your managerial experience may run concurrently with the required technical experience referenced above

Preferred Qualifications:

  • Ability to collaborate with senior collaborators to translate business requirements into analytical plan and effectively communicate complex ideas/solutions to influence practical decision-making.
  • Experience in pharmaceutical marketing or healthcare marketing, particularly analytics, data science and measurement roles.
  • Knowledge of the pharmaceutical industry, regulations, and market dynamics preferred.
  • Strong analytical skills (data sciences, primary market research/ secondary data analytics/ forecasting) with the ability to interpret data and make data-driven investment decisions.
  • Excellent communication and presentation skills, with the ability to engage and influence partners.
  • Proficiency in data analytics tools to drive strategic decision-making.
  • Ability to work in a fast-paced environment and handle multiple projects simultaneously.
  • Strong teamwork and collaboration skills, with the ability to work effectively in cross-functional teams.
  • Develop, coach, lead, and retain a successful analytics team.
What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.
Apply now and make a lasting impact with the Amgen team.careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Salary Range

219,089.00 USD - 276,842.00 USD

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