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Causal Inference Jobs in Columbia, MD (NOW HIRING)

Data Evaluator/Analyst

Washington, DC · On-site

$100K - $110K/yr

Apply econometrics and statistical modeling, including regression analysis, panel data methods, and causal inference techniques. * Develop analytic frameworks linking facility usage to downstream ...

Act as a recognized professional in a technical or methodological area (e.g., causal inference, bayesian aggregation), driving the adoption of advanced methods and organization-wide best practices ...

A/B | A/B Testing | B testing | Causal Inference | Data Mining * AWS Batch | Agile | Amazon Athena | Amazon Redshift | Apache Airflow * Data Mining | Deep learning | Error correction | Error modeling ...

... causal inference/target trial tooling patterns, and integration templates for multiple data sources. • Staff and support analysis pods for time-sensitive, high-stakes deliverables with rigorous QC ...

Showing results 21-40

Causal Inference information

See Columbia, MD salary details

$54.6K

$98.5K

$134.5K

How much do causal inference jobs pay per year?

As of Aug 21, 2026, the average yearly pay for causal inference in Columbia, MD is $98,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $107,700.00 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 cities near Columbia, MD are hiring for Causal Inference jobs?

Cities near Columbia, MD with the most Causal Inference job openings:

Infographic showing various Causal Inference job openings in Columbia, MD as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 72% Physical, 4% Hybrid, and 24% Remote job distribution, with an average salary of $98,477 per year, or $47.3 per hour.

Data Evaluator/Analyst

Mele Accociates

Washington, DC • On-site

$100K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-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.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.