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

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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.

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.

Experience

• 5 year(s): Minimum 5–7 years supporting federal program evaluation or applied policy research, with increasing responsibility for analytic design and execution.

Education

• Bachelors or better in Economics or related field

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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