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Contract Causal Inference Jobs in Washington (NOW HIRING)

MELE Associates

Data Evaluator/Analyst

Washington, DC · On-site +1

$100/hr

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

Mele Accociates

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 ...

ECS

Data/ML Scientist SME

Falls Church, VA · On-site

This position is contingent upon contract award. The War Data Platform (WDP) is a key initiative ... including Bayesian causal inference methods for reasoning under uncertainty, evaluating ...

Varsity Tutors

LSAT Logical Reasoning Tutor

Laurel, MD · Remote

$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 ...

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Contract Causal Inference information

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 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, and why are they important?

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 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:
Contract Causal Inference jobs near you
Infographic showing various Contract Causal Inference job openings in Washington as of June 2026, with employment types broken down into 48% Full Time, and 52% Part Time. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution.
Data Evaluator/Analyst with Security Clearance

Data Evaluator/Analyst with Security Clearance

MELE Associates, Inc.

Washington, DC • On-site

$100/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

MELE Associates, Inc. is seeking to add an experienced Data Evaluator/Analyst to support the Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE). EERE drives U.S.

leadership in the research, development, validation, and effective utilization of energy technologies and processes, ensuring an integrated energy system that is affordable, reliable, resilient, secure, and clean. This role cleans and structures DOE and third-party datasets, applies statistical and econometric models, and prepares preliminary findings and reports. The Data Evaluator/Analyst transforms raw data into actionable insights, ensuring DOE receives defensible and reproducible results.

This position is contingent upon contract award. Essential Functions: * Use advanced data integration, structuring, and normalization across administrative data, facility usage records, and third-party datasets. * Apply econometrics and statistical modeling, including regression analysis, panel data methods, and causal inference techniques.

* Develop analytic frameworks linking facility usage to downstream outcomes (e.g., patents, publications, commercialization metrics). * Data visualization and dashboarding using R, Python, Stata, or SAS to communicate evaluation findings to technical and executive audiences. Minimum Qualifications: * Bachelor's degree in economics, statistics, public policy, data science, or a related field (or equivalent combination of advanced training and experience).

* Minimum 5-7 years supporting federal program evaluation or applied policy research, with increasing responsibility for analytic design and execution. * Demonstrated record of integrating multiple large datasets and producing descriptive and inferential analyses used in published reports or government deliverables. * Experience leading the development of datasets of record, conducting reproducibility checks, and producing draft analytic findings for senior review.

* Prior contributions to outcome-focused evaluations, including development of cost-effectiveness metrics and quantitative outcome measures. * Superior communication, organizational, interpersonal, and writing skills. Preferred Qualifications: * Continuing education in econometrics, causal inference, or data visualization tools strongly preferred.

* Experience with DOE/NNSA LOCATION: This position is located in Washington, DC USA #OPT SALARY: Salaries are determined based on several factors including external market data, internal equity, and the candidate's related knowledge, skills, and abilities for the position. The salary range for this position is $100-110K. Benefits MELE Offers • Hybrid remote/office work environment.

• Employer-paid employee Medical, Dental and Vision Care. • Low-Cost Family Health Care offered. • Federal Holidays and three (3) weeks' vacation • 401(k) with Employer Match • Cross-training opportunities About MELE Associates, Inc.

With over 300 employees and offices in Rockville, MD, Washington, DC, and Albuquerque, NM, MELE is a veteran and minority-owned government contractor empowering its customers with innovative solutions for more than three decades. MELE has team members located across the U.S. and has served more than a hundred countries across hundreds of project locations.

The company offers technical, engineering, and programmatic support expertise to a host of U.S. federal and international agencies, including, but not limited to, the Department of Energy, the Department of Defense, the Department of Homeland Security, the Department of Justice, INTERPOL, and the International Atomic Energy Agency. MELE's services include National Security and Intelligence, CBRNE Defense and Security, Facility Management and Engineering, Law Enforcement and Emergency Response Training, Technical, Analytica, and Program Management Support, and IT/Cybersecurity.

MELE Associates, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

MELE Associates, Inc. is an E-Verify employer.

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