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Contract Causal Inference Jobs in Washington (NOW HIRING)

This position is contingent upon contract award. Essential Functions: * Use advanced data ... Continuing education in econometrics, causal inference, or data visualization tools strongly ...

Data Evaluator/Analyst

Washington, DC · On-site

$100K - $110K/yr

This position is contingent upon contract award. Essential Functions: * Use advanced data ... Continuing education in econometrics, causal inference, or data visualization tools strongly ...

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

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

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

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

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

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

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

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 Washington?

The most popular types of Causal Inference jobs in Washington are:

What are popular job titles related to Contract Causal Inference jobs in Washington?

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

What job categories do people searching Contract Causal Inference jobs in Washington look for?

The top searched job categories for Contract Causal Inference jobs in Washington are:

What cities in Washington are hiring for Contract Causal Inference jobs?

Cities in Washington with the most Contract Causal Inference job openings:

Infographic showing various Contract Causal Inference job openings in Washington as of June 2026, with employment types broken down into 8% Full Time, 3% Part Time, 3% Temporary, and 86% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

$169K/yr

Full-time

Posted 6 days ago


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Job description

This position is for a Supervisory Social Scientist within the Office of Data Analytics (JD), Office of Inspector General (OIG), U.S. Department of Transportation (DOT). The incumbent will serve as a senior program manager and first-line supervisor, leading a team of economists, statisticians, and data scientists in the execution of complex, short- and long-term analytical projects.

Qualifications:

All documents must be received and eligibility requirements must be met by the closing date of the announcement.  Your resume must be well documented with the specialized experience, otherwise you may be deemed ineligible.

To meet the minimum qualifications for this position, you must meet the SPECIALIZED EXPERIENCE qualifications and the BASIC EDUCATION REQUIREMENT for the grade(s) at which you are requesting consideration. Applicants must meet qualifications and time-in-grade requirements by the closing date of this vacancy announcement.

Quality Ranking Factor: Mastery of an advanced mathematical, statistical, or quantitative social science discipline combined with a deep understanding of advanced statistical, econometric, or causal inference methods. A Ph.D. in a highly quantitative field (e.g., Economics, Statistics, Data Science or any suitable degree that relates to the position) is strongly preferred.


SPECIALIZED EXPERIENCE
For GS-15: At least one year of specialized experience equivalent to the GS-14 level in the Federal service performing (obtained in either the public or private sectors) listed below:

  • Managing a large portfolio of concurrent, high-complexity analytical or data science projects, including establishing project management systems, resolving competing priorities and resource constraints, and ensuring rigorous delivery of products suitable for federal oversight, litigation support, or congressional reporting.
  • Serving as a senior methodological authority for a team or program, reviewing and approving the analytical approaches of economists, statisticians, or data scientists, resolving novel methodological challenges, and ensuring work products meet the highest standards of scientific rigor and reproducibility.
  • Exercising first-line supervisory authority over a multidisciplinary team of quantitative professionals, including performance management, workload distribution, and building team capacity through mentoring and professional development.
  • Serving as a primary liaison between a specialized analytical team and senior leadership, oversight bodies, or external partners; shaping research agendas collaboratively while maintaining methodological independence, and communicating complex findings and their limitations to executive-level audiences.
  • Contributing to strategic planning and interagency partnership development to expand an agency's evidence-building capabilities, including managing contracts or external research partnerships, reviewing and approving the technical and methodological approaches of contractor or external research teams, evaluating deliverable quality, and ensuring compliance with data privacy, security, and ethical data use requirements.

Competencies: Your resume will be evaluated on the following competencies in addition to the specialized experience as stated above:

  • Research Portfolio Management: Plans, directs, and monitors a portfolio of concurrent advanced analytical and data science projects to ensure rigorous, timely delivery in support of oversight priorities.
  • Supervisory Leadership and Staff Development: Builds and sustains a high-performing multidisciplinary team through performance management, mentoring, and strategic workload allocation to develop organizational capacity.
  • Quantitative Research and Methodological Oversight: Provides expert guidance on research design, statistical modeling, causal inference, and machine learning to ensure all analytical products meet the highest standards of scientific rigor and reproducibility.
  • Stakeholder Engagement and Technical Communication: Translates complex analytical methods, findings, and limitations into clear, decision-relevant language for senior leaders, investigators, auditors, and other non-technical audiences to drive informed decision-making.
  • Strategic Resource and Contract Management: Manages contracts, budgets, and interagency partnerships and contributes to strategic planning to sustain and expand the team's evidence-building capabilities.

Preferred Qualifications:

  • A Ph.D. in a highly quantitative field (e.g., Economics, Statistics, Data Science or any suitable degree that relates to the position) is strongly preferred.
  • Background in auditing, law enforcement/criminal justice, or prior experience in an Inspector General office preferred.
  • Strong skills in contract management and budgeting with an accompanying COR certification (levels 2 or 3) strongly preferred.
Education:Basic Education Requirement
  1. Degree: Mathematics, statistics, or actuarial science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position which may also include data science, economics or other related degrees. 

    OR

  2. Combination of education and experience: Courses equivalent to a major field of study as shown in paragraph A above, plus additional education or appropriate experience.

Transcripts Verifying Basic Education Requirement - You must submit unofficial or official transcripts verifying you meet the Basic Education Requirement. Ensure that the degree awarded and confer date are clearly stated on the transcript(s). You must provide documentation or proof that your degree(s) is from a school accredited by an accrediting institution recognized by the Secretary, U.S. Department of Education, or that your education meets the other provisions outlined in the OPM Operating Manual. If you completed your education outside of the U.S., you must provide proof its equivalent to accredited U.S. education programs.

Special Instructions for Foreign Education: Qualifying education from colleges and universities in foreign countries must be evaluated in terms of equivalency to that acquired in U.S. colleges and universities. Applicants educated in whole or in part in foreign countries must submit sufficient evidence, including transcripts, to an accredited private organization for an equivalency evaluation of course work and degree. You must provide a copy of the letter containing the results of the equivalency evaluation with a course by course listing along with your application. Failure to provide such documentation when requested will result in lost consideration. 

Learn more about education and training requirements.

The link (s) below contain a list of accredited organizations that specialize in interpreting of foreign education credentials:

Members – NACES 

https://naces.org/members/

Credential Evaluation Services - AICE - Association of International Credential Evaluators. Inc.

https://aice-eval.org/members/

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