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Data Review Scientist Jobs in Silver Spring, MD (NOW HIRING)

Omniscius Consulting

Data Scientist

Washington, DC · On-site

Building maintainable data pipelines, document model logic to agency standards, and lead peer code reviews to ensure reproducible, high-quality data science practices. Required Qualifications:

Omniscius Consulting

Data Scientist

Washington, DC · On-site

$140 - $190/hr

Building maintainable data pipelines, documenting model logic to agency standards, and leading peer code reviews to ensure reproducible, high-quality data science practices. Required Qualifications:

Analygence

Data Scientist

Arlington, VA · On-site

Provide technical leadership, quality review, knowledge transfer, and analytical guidance to Data ... science and application development activities.

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA ... data reviewer * Knowledge of metrics dissemination. * Familiarity with emerging Artificial ...

Unissant

Data Scientist

Washington, DC · On-site

We are seeking a Data Scientist to join our team in Washington, DC, in support of the Department of ... review; conduct peer reviews of deliverables daily or as requested. • Gather business ...

Leidos

Mid-Level Data Scientist

Springfield, VA

$73K - $132K/yr

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA ... data reviewer * Knowledge of metrics dissemination. * Familiarity with emerging Artificial ...

Swayable

Research Data Scientist

Washington, DC · On-site

... reviewing production-quality python code. • Experience working in a fast-moving startup environment • Experience interacting with MongoDB databases • Bachelors/Masters/PhD in data science ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

Help strengthen the client's internal data-science capability through pairing, code review, knowledge transfer, and reusable tooling. Minimum Qualifications: * 23 years of experience developing ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

... code review, and iterative delivery. This is a hybrid role open to candidates in the Washington, DC area. Outside of contract work, TRSS Data Scientists contribute to internal innovation by ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

Help strengthen the client's internal data-science capability through pairing, code review, knowledge transfer, and reusable tooling. Minimum Qualifications: * 2-3 years of experience developing ...

Elder Research

Data Scientist

Arlington, VA · On-site

Help strengthen the client's internal data-science capability through pairing, code review, knowledge transfer, and reusable tooling. Minimum Qualifications: * 2 3 years of experience developing ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government ... Support data quality reviews by identifying anomalies, missing values, inconsistent records, and ...

Initial Therapeutics, Inc.

Data Scientist

Washington, DC · On-site

$120 - $170/hr

Participate in the development and review of CfDA Data Sciences Policies, SOPs, and other controlled documents. * Participate in external professional organizations, conferences and/or meetings.

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government ... Support data quality reviews by identifying anomalies, missing values, inconsistent records, and ...

ECS

Data Scientist

Arlington, VA · On-site

They are seeking a Data Scientist to work independently and within teams to prepare, clean, and ... reviews, and present technical briefings. • Perform analysis of data for Extraction ...

Pyramid Consulting, Inc.

Data Scientist

Mclean, VA · On-site

$60 - $65/hr

Please review the below and contact me ASAP if you are interested. Job ID: 26-25747 Pay Range: $60 ... The Data Scientist will contribute to capabilities for image extraction, metadata generation ...

New

Booz Allen Hamilton

Data Scientist

Arlington, VA · On-site

$78 - $176/hr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors ...

Dynamis, Inc.

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Participate in peer code reviews and contribute to best practices for reproducible data science workflows Requirements: * U.S. Citizenship * Bachelor's degree in Data Science, Statistics, Mathematics ...

Dynamis, Inc.

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Participate in peer code reviews and contribute to best practices for reproducible data science workflows Requirements: * U.S. Citizenship * Bachelor's degree in Data Science, Statistics, Mathematics ...

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Showing results 41-60

All JobsData Review Scientist JobsData Review Scientist Jobs in Silver Spring, MD

Data Review Scientist information

See Silver Spring, MD salary details

$38.6K

$126.5K

$202.5K

How much do data review scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data review scientist in Silver Spring, MD is $126,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,200.00 per year, depending on experience, location, and employer.

What does a data review scientist do?

A Data Review Scientist is responsible for reviewing, validating, and interpreting scientific data to ensure its accuracy, integrity, and compliance with regulatory standards. They often work in pharmaceutical, clinical, or research settings, analyzing experimental or clinical trial data for errors, inconsistencies, and completeness. Their work helps ensure that scientific findings are reliable and can be used to support research conclusions or regulatory submissions.

What are the key skills and qualifications needed to thrive as a data review scientist?

To thrive as a Data Review Scientist, you need a solid background in life sciences or related fields, strong analytical skills, and experience with data validation and interpretation. Familiarity with data management systems such as LIMS, proficiency in statistical analysis tools like SAS or R, and knowledge of regulatory guidelines (e.g., GxP, FDA) are typically required. Attention to detail, critical thinking, and effective communication help ensure accuracy and clarity when reviewing complex datasets and collaborating with cross-functional teams. These skills are crucial for maintaining data integrity and supporting regulatory compliance in scientific research and clinical trials.

What are some common challenges faced by data review scientists when ensuring data integrity in research projects?

Data Review Scientists often encounter challenges such as identifying inconsistencies in large datasets, resolving discrepancies between source documents and digital records, and ensuring strict adherence to regulatory standards like GLP or GCP. They must also coordinate with cross-functional teams, including laboratory staff and data managers, to clarify data queries and implement corrective actions promptly. Staying updated with evolving data management technologies and regulatory requirements is crucial for success and helps maintain the highest levels of data integrity throughout research projects.

What is the difference between Data Review Scientist vs Data Analyst?

AspectData Review ScientistData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; familiarity with data review toolsBachelor's degree in data analysis, statistics, or related field; proficiency in data visualization and analysis software
Work EnvironmentHealthcare, clinical trials, or research settings focusing on data quality and complianceBusiness, marketing, finance, or operations across various industries analyzing data trends
Employer & Industry UsagePharmaceutical companies, research institutions, healthcare organizationsCorporations, marketing agencies, financial firms, and tech companies

While both roles involve working with data, Data Review Scientists primarily focus on ensuring data quality and compliance in research or clinical settings, whereas Data Analysts interpret data to inform business decisions across diverse industries.

What are popular job titles related to Data Review Scientist jobs in Silver Spring, MD?

For Data Review Scientist jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Data Review Scientist jobs in Silver Spring, MD look for?

The top searched job categories for Data Review Scientist jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Data Review Scientist jobs?

Cities near Silver Spring, MD with the most Data Review Scientist job openings:

Data Review Scientist jobs near you
Infographic showing various Data Review Scientist job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $120,760 per year, or $58.1 per hour.

Data Scientist

Omniscius Consulting

Washington, DC • On-site

Full-time

Posted 17 days ago

Job description

In this role, you will apply data science and machine learning to analyze complex financial transaction data for a major federal intelligence and law enforcement bureau.  Your analytical models will help identify suspicious patterns, supporting efforts to safeguard the financial system from illicit activity and money laundering.  This work would be performed on-site in Washington, DC.

Key Responsibilities:
  • Financial Crime Pattern Detection: Designing, developing, and deploying machine learning models and statistical algorithms to identify complex money laundering techniques—such as structuring, layering, and smurfing—within massive financial datasets.
  • Cloud-Native Data Engineering & Analysis: Performing exploratory data analysis, feature engineering, and model validation using Python, PySpark, and SQL across scalable AWS infrastructure, including S3, RDS, and OpenSearch.
  • Stakeholder Collaboration & Translation: Partnering directly with compliance analysts and federal investigators to translate complex regulatory requirements into high-impact analytical models and clear visual reports.
  • Model Integrity & Workflow Standardization: Building maintainable data pipelines, document model logic to agency standards, and lead peer code reviews to ensure reproducible, high-quality data science practices.
Required Qualifications:
  • Active Top Secret SCI clearance
  • Bachelor’s Degree or higher in a related field from an accredited college or university
  • 4+ years of dedicated data science experience building, validating, and deploying machine learning models using Python and/or R.
  • Hands-on experience analyzing Bank Secrecy Act (BSA) or Anti-Money Laundering (AML) transaction data to detect illicit financial patterns.
  • Hands-on experience executing queries and managing data pipelines within AWS cloud environments (e.g., S3, RDS/PostgreSQL, OpenSearch, Lambda).
  • Strong proficiency with SQL and big-data frameworks (e.g., PySpark, Pandas) to analyze large-scale structured and unstructured datasets. 
Preferred Qualifications:
  • Experience building intuitive data dashboards and clear visual reports to present findings to non-technical operational teams.
  • Demonstrated track record of establishing automated model documentation and reproducible data pipelines in a regulated environment.

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