ZipRecruiter

Log In

1

Data Evaluation Jobs (NOW HIRING)

MELE Associates

Data Evaluator/Analyst

Washington, DC · On-site +1

$100/hr

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 ...

Mele Accociates

Data Evaluator/Analyst

Washington, DC · On-site

$100K - $110K/yr

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 ...

Smadex

Senior Data Scientist

Austin, TX · On-site

... data evaluation. • Excellent verbal and written communication skills, with the ability to present analysis and conclusions. • Strong knowledge and experience of statistical concepts and ...

PSRTEK

Clinical Data Analyst-REMOTE

New York, NY · On-site

External Data Evaluation * Analyze external sources (e.g., ClinicalTrials.gov) to identify inclusion/exclusion criteria and gaps in IMO content. * Prioritize clinical trials and assess opportunities ...

Apple

Machine Learning Data Engineer

Cupertino, CA

$181K - $318K/yr

If your passion is making sense of complex data, designing data evaluation frameworks, and leading initiatives to maximize model ROI through rigorous data quality, we want you on our team.

Apple

Machine Learning Data Engineer

Cupertino, CA · On-site

$181K - $318K/yr

If your passion is making sense of complex data, designing data evaluation frameworks, and leading initiatives to maximize model ROI through rigorous data quality, we want you on our team ...

Fabrion

Data Partnerships Analyst

Bodega Bay, CA · On-site

Data Evaluation : Assess sample datasets for coverage, quality, refresh frequency, schema design, and interoperability with Fabrion's knowledge graphs. * Partnership Pipeline : Maintain CRM-style ...

Amazon

Data Scientist, AWS Quick Data

Santa Clara, CA · On-site

We are seeking a Data Scientist II to join our Quick Data team, focusing on evaluation and ... From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond ...

Apple

AIML - Data Scientist, Evaluation

Seattle, WA

$139K - $258K/yr

Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. You ...

Amazon

Data Scientist, AWS Quick Data

Santa Clara, CA · On-site

We are seeking a Data Scientist II to join our Quick Data team, focusing on evaluation and ... From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond ...

next page

Showing results 1-20

All JobsData Evaluation Jobs

Data Evaluation information

See salary details

$11

$31

$61

How much do data evaluation jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for data evaluation in the United States is $31.22, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $33.17 per hour, depending on experience, location, and employer.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and making informed recommendations. Data analysts who develop skills in machine learning, programming, and data visualization are better positioned to adapt to these technological changes.

Is 40 too late for data science?

Data evaluation roles in data science are accessible at any age, and many professionals transition into the field later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and data analysis tools, regardless of age. Experience and continuous learning are valued in the industry, making 40 not too late to pursue a data science career.

What are some common challenges faced in Data Evaluation roles, and how can candidates prepare for them?

Data Evaluation professionals often encounter challenges such as handling large, complex datasets, ensuring data accuracy, and interpreting ambiguous results. To prepare, candidates should familiarize themselves with industry-standard data cleaning and validation techniques, as well as regularly update their technical skills in analytics tools. Effective communication skills are essential for translating complex findings into actionable recommendations for various stakeholders. Staying proactive about learning new methodologies and collaborating closely with cross-functional teams can also help you overcome these challenges and thrive in this role.

What are the key skills and qualifications needed to thrive in the Data Evaluation position, and why are they important?

To thrive in Data Evaluation, you need a strong analytical mindset, proficiency with data analysis, and a relevant degree in statistics, mathematics, or a related field. Familiarity with data analytics tools such as Excel, SQL, Python, R, or business intelligence platforms, and certifications like Microsoft Certified Data Analyst Associate, are often valuable. Attention to detail, effective communication, and problem-solving abilities are key soft skills for this role. These skills ensure accurate data interpretation, effective reporting, and actionable insights that help organizations make informed decisions.

Is a data analyst well paid?

Data analysts are generally well paid, with salaries varying based on experience, location, and industry. Entry-level positions typically start around the national average, while experienced analysts with skills in SQL, Excel, and data visualization tools can earn higher salaries and bonuses.

What are the top 3 skills for a data analyst?

The top skills for a data analyst include proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software such as R or Python. Strong analytical thinking, attention to detail, and the ability to communicate findings clearly are also essential. Familiarity with data visualization tools like Tableau or Power BI enhances their ability to present insights effectively.

What is a Data Evaluation job?

A Data Evaluation job involves analyzing, assessing, and interpreting data to ensure accuracy, consistency, and relevance for decision-making. Professionals in this role use statistical methods, data validation techniques, and reporting tools to identify patterns and insights. They often work with datasets from various sources, verifying integrity and optimizing data quality. Their findings help organizations improve processes, make informed decisions, and enhance overall efficiency.

More about Data Evaluation jobs
What cities are hiring for Data Evaluation jobs? Cities with the most Data Evaluation job openings:
What are the most commonly searched types of Data Evaluation jobs? The most popular types of Data Evaluation jobs are:
What states have the most Data Evaluation jobs? States with the most job openings for Data Evaluation jobs include:
What job categories do people searching Data Evaluation jobs look for? The top searched job categories for Data Evaluation jobs are:
Data Evaluation jobs near you
Infographic showing various Data Evaluation job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 57% Full Time, 34% Part Time, and 6% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $64,947 per year, or $31.2 per hour.
Data Evaluator/Analyst

Data Evaluator/Analyst

MELE Associates

Washington, DC • On-site, Remote

$100/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 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.

Apply