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Remote Data Quality Reviewer Jobs in Silver Spring, MD

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... review standards, and mentorship outcomes that raise the overall quality of the Data Science ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

A-TEK Inc.

Data Strategist

Alexandria, VA · On-site +1

$115K - $125K/yr

... data quality, and maximize the value of organizational data assets. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for ...

Gritter Francona

Data Modeler

Washington, DC · On-site +1

$62 - $80.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... preserving data quality and integrity. * Collaborate with application development, systems ... Nurse review * Processing of non-standard customer requests * Ensure data models enable ...

Alpha Omega Integration

Scientific Data Analyst

Vienna, VA · On-site +1

$85K - $115K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

This role will be 100% remote for the foreseeable future. In this role, you will manage and analyze ... Review the quality of the weights as indicated. * Document problems with the SAS program and any ...

kgs

Data & Metrics Analyst (REMOTE)

Chantilly, VA · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The position is remote. We offer competitive compensation and an extraordinary benefits package ... Establish and enforce data quality standards, validation rules, and governance procedures to ensure ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0245373 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Collaborating with multidisciplinary teams, you will set engineering standards, ensure data quality ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

This role requires someone who is equally comfortable writing production-quality code and ... Experience with geospatial data, imagery products, or remote sensing datasets - familiarity with ...

Electrosoft

Data Architect

Arlington, VA · On-site +1

$73.25 - $94.25/hr

Establish data management standards, metadata requirements, and data quality processes to ensure ... Conduct technical reviews and provide recommendations regarding data architecture, performance ...

Fairfax County

Data Analyst III

Fairfax, VA · On-site +1

$88K - $155K/yr

Facilitates data sharing with remote systems and agency transactional systems. Plans, evaluates ... Ensures data quality and adherence to data governance and security policies through validation ...

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All JobsData Quality Reviewer JobsRemote Data Quality Reviewer JobsRemote Data Quality Reviewer Jobs in Silver Spring, MD

Remote Data Quality Reviewer information

See Silver Spring, MD salary details

$13

$27

$44

How much do remote data quality reviewer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote data quality reviewer in Silver Spring, MD is $27.13, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $37.50 per hour, depending on experience, location, and employer.

What is a remote data quality reviewer?

A Remote Data Quality Reviewer is a professional who evaluates and ensures the accuracy, completeness, and reliability of data collected or processed by an organization, all while working from a remote location. Their duties often include checking data for errors, inconsistencies, or missing information, and recommending corrections or improvements. They may work with various types of data, such as customer records, survey responses, or financial information, depending on the industry. This role is crucial for maintaining high data standards and supporting decision-making processes within a company.

What are some common challenges faced by remote data quality reviewers, and how can they be addressed?

Remote Data Quality Reviewers often encounter challenges such as managing large data sets, maintaining focus during repetitive review tasks, and ensuring effective communication with distributed teams. Staying organized with clear workflow tools and setting regular check-ins with team members can help mitigate feelings of isolation and prevent errors. Additionally, leveraging automated validation tools and maintaining up-to-date documentation ensures consistency and accuracy in data review processes.

What are the key skills and qualifications needed to thrive as a remote data quality reviewer, and why are they important?

To thrive as a Remote Data Quality Reviewer, you generally need strong analytical abilities, attention to detail, and experience with data validation, often supported by a bachelor's degree in a relevant field such as statistics, computer science, or information management. Familiarity with data management tools, spreadsheet software (like Excel), and database systems, as well as knowledge of quality assurance frameworks, is typically required. Excellent written communication, critical thinking, and the ability to work independently are important soft skills for this remote position. These capabilities ensure accurate data assessment, help maintain data integrity, and contribute to reliable decision-making across organizations.

What are popular job titles related to Remote Data Quality Reviewer jobs in Silver Spring, MD?

For Remote Data Quality Reviewer jobs in Silver Spring, MD, the most frequently searched job titles are:

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Remote Data Quality Reviewer jobs near you

Senior Data Scientist (Fraud Detection and Investigative Analytics)

Node.Digital

Washington, DC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Senior Data Scientist (Fraud Detection and Investigative Analytics)

Location: Herndon, VA (Remote Work)

Must have an Public Trust Clearance

KEY RESPONSIBILITIES

  • Review, maintain, and extend all existing loan fraud indicators developed by TSD, and provide authoritative expertise on analytic method selection.
  • Design, develop, test, calibrate, and implement advanced statistical and machine learning models targeting financial fraud, improper payments, and non compliance within SBA programs.
  • Build and refine both supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches, and tune candidate models to determine best fit.
  • Perform data quality analysis on source tables to identify abnormalities and inconsistencies, and develop repeatable processes for combining and analyzing large relational, structured, and unstructured sources.
  • Collaborate directly with criminal investigators to determine and execute analytic strategies supporting loan fraud cases, adapting analysis as case needs shift and proactively surfacing data quality issues.
  • Adhere closely to the federal rules of criminal procedure governing protected information, including Rule 6(e).
  • Develop case leads for SBA OIG investigations from model outcomes.
  • Document all methodology, test models, and production models in a form that satisfies criminal evidentiary requirements.
  • Build visualizations and dashboards that convey methodological choices, outcomes, and predictive capability, and iterate them on end user feedback.
  • Deliver findings in multiple registers: data summaries and visualizations for investigative staff, executive summaries for OIG leadership.
  • Coordinate with the data engineering seat so the architecture supports machine learning efficiently.
  • Create programming and automation techniques that improve task efficiency using SharePoint, Python, Excel, Power BI, Power Apps, and similar tools.
  • Identify new business questions that expand the scope of analysis and reporting.

Requirements

Required:

Education

Master's, Ph.D., or doctorate level equivalent degree in data science, machine learning, computer science, mathematics, or a related field. Alternatively, ten years of applied work experience in any of the same fields.

  • 5+ yearsDesigning, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
  • 5+ yearsDeveloping analytic rules and models using leading edge analytic tools and best practices.
  • 5+ yearsDeveloping regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
  • 3+ yearsProviding data support for criminal investigations into financial fraud or abuse of government funds.
  • 3+ yearsManipulating data in Python. Pandas is required.
  • 3+ yearsWorking in a modern cloud environment: Azure, AWS, or GCP. Certifications preferred.
  • 2+ yearsConducting advanced data analysis in SQL, specifically SQL Server and PostgreSQL.
  • 2+ yearsDeveloping and scaling natural language processing solutions.
  • 2+ yearsPresenting methods and findings to technical and non technical stakeholders, both orally and in written products and visualizations.

PREFERRED QUALIFICATIONS

  • Cloud certification in Azure, AWS, or GCP.
  • Direct experience with SBA loan programs, including 7(a), 504, EIDL, or PPP, or with comparable federal lending or grant fraud.
  • Entity resolution, record linkage, or graph and network analysis applied to fraud.
  • Experience producing analytic products that were used in a criminal referral or prosecution.
  • Model explainability practice such as SHAP or comparable feature attribution methods.

Benefits

We are proud to offer competitive compensation and benefits packages to include

  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training