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Causal Inference Jobs in New Jersey (NOW HIRING)

(USA) Principal, Data Scientist

Hoboken, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Principal Data Scientist to solve ambiguous, high-value retail problems through rigorous analytics, ML modeling, experimentation, causal inference, and deployment of scalable ...

Post-Doctoral Associate

Piscataway, NJ · On-site

$63K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Expertise in causal inference and machine learning (in particular reinforcement learning), and strong experience with programming are desired.. Excellent communication and writing skills are needed.s ...

Senior Data Scientist

Jersey City, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes business problems. * Translate ambiguity to impact: Frame undefined problems with entrepreneurial ...

Senior Data Scientist

Jersey City, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes business problems. * Translate ambiguity to impact: Frame undefined problems with entrepreneurial ...

Principal Data Scientist

Florham Park, NJ

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new ...

Principal Data Scientist

Florham Park, NJ · On-site

$124K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new ...

Principal Data Scientist

Hoboken, NJ · On-site

$120 - $160/hr

Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ability to develop, test, and deploy robust analytical models using a variety of data sources.

New

Associate Director, Data Science

Princeton, NJ · On-site

$190 - $230/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... causal inference, and principled handling of missing data and censoring * Contribute to and influence the scientific and statistical strategy of drug development programs, including the development ...

(USA) Principal, Data Scientist

Hoboken, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...

Associate Director, Data Science

Princeton, NJ · On-site

$61K - $62K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... causal inference, and principled handling of missing data and censoring * Contribute to and influence the scientific and statistical strategy of drug development programs, including the development ...

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Showing results 1-20

Causal Inference information

See New Jersey salary details

$55.8K

$100.7K

$137.6K

How much do causal inference jobs pay per year?

As of Aug 18, 2026, the average yearly pay for causal inference in New Jersey is $100,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $110,200.00 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 New Jersey?

The most popular types of Causal Inference jobs in New Jersey are:

What are popular job titles related to Causal Inference jobs in New Jersey?

For Causal Inference jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Causal Inference jobs in New Jersey look for?

The top searched job categories for Causal Inference jobs in New Jersey are:

Infographic showing various Causal Inference job openings in New Jersey as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $100,743 per year, or $48.4 per hour.

Quantitative Researcher - Public Health, Healthcare Evaluation, & Disability

Mathematica

Princeton, NJ • On-site

Full-time

Posted 8 days ago


Job description

Mathematica is hiring researchers with specific expertise inquantitative research methods, causal inference, and policy research, who willconduct studies and support program evaluation in the areas of public health, healthcare,and disability.
The researchers will support project teams in the planningand execution of rigorous, data-driven research project for clients such as:The Centers for Medicare & Medicaid Services, the Social SecurityAdministration, the Substance Abuse and Mental Health Services Administration,the Agency for Healthcare Research and Quality, the Health Resources &Services Administration the Office of the Assistant Secretary for Planning andEvaluation, leading health foundations, and numerous state and local agenciesand commercial clients.

Responsibilities and expectations:

  • Collaborate with senior staff in a multidisciplinary environment to apply rigorous quantitative research methods, including study design, causal inference, data management, and statistical and econometric analysis for describing or evaluating programs and policies
  • Draft reports, present findings to policy and professional audiences, and publish in professional journals
  • Help develop proposals for new research projects
  • Contribute to the growth, expertise, andinstitutional knowledge of other research staf