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Contract Causal Inference Jobs in Detroit, MI (NOW HIRING)

Varsity Tutors

LSAT Logical Reasoning Tutor

Ann Arbor, MI · Remote

$26 - $40/hr

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

LSAT Logical Reasoning Tutor

Detroit, MI · Remote

$26 - $40/hr

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

All JobsContract Causal Inference JobsContract Causal Inference Jobs in Detroit, MI

Contract Causal Inference information

What is a contract causal inference specialist?

A Contract Causal Inference specialist is a professional who applies statistical and analytical methods to determine cause-and-effect relationships within data, typically on a contractual or project basis. These specialists are often brought in to analyze business, healthcare, or social science data to help organizations make evidence-based decisions. They use techniques such as randomized controlled trials, regression analysis, and propensity score matching to isolate causal impacts. Contract roles are usually temporary and focused on specific projects or questions. This position requires strong statistical knowledge, programming skills, and the ability to communicate findings to non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a contract causal inference specialist?

To thrive as a Contract Causal Inference Specialist, you need a strong background in statistics, econometrics, or data science, typically with an advanced degree in a quantitative field. Proficiency with statistical software like R, Python, and specialized causal inference packages, as well as experience with data wrangling tools, is essential. Exceptional analytical thinking, clear communication, and attention to detail are valuable soft skills for interpreting results and collaborating with clients. These competencies are vital for delivering robust, actionable insights that drive evidence-based decision-making in a contractual setting.

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

Professionals in contract causal inference roles often encounter challenges such as working with incomplete or messy datasets, ensuring the validity of assumptions in causal models, and effectively communicating complex findings to stakeholders. Addressing these issues typically involves using robust statistical techniques, performing thorough data cleaning, and engaging in transparent documentation of the modeling process. Additionally, collaborating closely with subject matter experts and stakeholders can help clarify project goals and improve the relevance and impact of your analyses.

What is the difference between Contract Causal Inference vs Data Analyst?

AspectContract Causal InferenceData Analyst
Required CredentialsStatistics, Data Science, or related certifications; often advanced degreesBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch-focused, project-based, often in consulting or academiaBusiness environments, analyzing data to inform decisions
Employer & Industry UsageResearch institutions, consulting firms, tech companiesCorporations, marketing agencies, finance, healthcare
Search & Comparison IntentUnderstanding causal relationships, research projectsData analysis, reporting, business insights

Contract Causal Inference specialists focus on identifying cause-and-effect relationships through research and statistical methods, often in consulting or academic settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Contract Causal Inference emphasizes causal modeling and research, whereas Data Analysts focus on descriptive and diagnostic analysis.

What are the most commonly searched types of Causal Inference jobs in Detroit, MI?

The most popular types of Causal Inference jobs in Detroit, MI are:

What are popular job titles related to Contract Causal Inference jobs in Detroit, MI?

For Contract Causal Inference jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Contract Causal Inference jobs in Detroit, MI look for?

The top searched job categories for Contract Causal Inference jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Contract Causal Inference jobs?

Cities near Detroit, MI with the most Contract Causal Inference job openings:

Contract Causal Inference jobs near you
Infographic showing various Contract Causal Inference job openings in Detroit, MI as of June 2026, with employment types broken down into 24% Full Time, 7% Part Time, 2% Temporary, and 67% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.

Quantitative Researcher - Public Health, Healthcare Evaluation, & Disability

Mathematica

Ann Arbor, MI • On-site, Remote

$100K - $140K/yr

Full-time

Posted 10 days ago

Job description

Quantitative Researcher - Public Health, Healthcare Evaluation, & Disability
About Mathematica:Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Read more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance.
Primary Duties and Responsibilities:
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

Required Qualifications:
  • Ph.D. or equivalent in economics, public health, epidemiology, biostatistics, data science/data analytics, health services research, or other relevant discipline. In lieu of a PhD, a Masters' degree with coursework in causal inference and demonstrated experience applying it to research will be considered equivalent.
  • Strong quantitative analytical skills. Training in causal inference methodologies is strongly preferred.
  • Broad understanding of health policy issues in the United States
  • Experience using health care and public health data sources (e.g., health care claims, electronic health records, national surveys) is strongly preferred.
  • Experience working with programming languages, such as R, Python, or STATA, and with AI platforms, such as ChatGPT or Microsoft Copilot
  • Excellent written and oral communication skills, including an ability to translate complex research methods and findings for a practitioner and policy audience.
  • Ability to work well in teams.
  • Strong organizational skills and high level of attention to detail; flexibility to lead and manage multiple priorities, sometimes simultaneously, under deadlines.

This role offers an anticipated base salary of $100,000 - $140,000 annually. This position is eligible for an annual bonus target opportunity based on individual and company performance.
Application instructions and timeline information:
Please submit a cover letter, CV/resume,and a relevant work or writing sample. Letters of recommendation will be requested for candidates who advance to the final stage of interviews. Letters of recommendation should be sent to TalentAcquisition@mathematica-mpr.com.
We anticipate accepting applications through Friday, August 21, 2026.; however, the application deadline may be extended if necessary.
Ideally, the selected candidate(s) will begin in October 2026.
Currently, Mathematica's largest client is Centers for Medicare & Medicaid Services (CMS). Most staff working on CMS contracts will be required to complete a successful background investigation including the Questionnaire for Public Trust Position SF-85. Staff that are unable to successfully undergo the background investigation will need to be able to obtain work outside CMS. Staff will work with their supervisor to get re-staffed, however if they are unable to do so it may result in employment termination due to lack of work.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
At Mathematica, we understand the importance of building relationships with colleagues. If you're not located near one of our offices but would like opportunities to meet up with co-workers, we offer coworking spaces where available. Ask your Talent Acquisition partner for more information about this opportunity and whether it's an option in your area.
Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance. Additionally, if you participate in/complete the application process and are denied, Mathematica may choose to terminate your employment.
We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems and to share the responsibility and enjoyment of carrying out complex projects. This collegial spirit has helped us earn our reputation for innovative and high quality work.

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