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Qa Data Scientist Jobs (NOW HIRING)

Analygence

Data Scientist

Arlington, VA · On-site

... and quality assurance of Mission Assurance data workflows, analytical models, and Foundry ... science and application development activities.

Analygence

Data Scientist

Arlington, VA · On-site

Tharros is seeking a Data Scientist to serve as the program's senior analytical authority, leading ... and quality assurance of Mission Assurance data workflows, analytical models, and Foundry ...

Stavis Seafoods

QA Data Specialist

Boston, MA · On-site

Stavis Seafoods, A Profand Company, is looking for an experienced QA Data Specialist to manage critical QA documentation and records, in order to guarantee that they are accurate, complete, organized ...

Felton Institute

Quality Assurance Data Manager

Oakland, CA · On-site

$100K - $130K/yr

Quality Assurance Data Manager (Part Time) Triage, Consultation, and Wellness Response Team (TCWRT ... Our programs combine the latest scientific research with cultural sensitivity and a deep commitment ...

Jobtailor

Data Scientist

California, MO · On-site

$80 - $100/hr

Data Quality Assurance * Data Process Optimization * Stakeholder Collaboration ATS Optimization Keywords Hard Skills * Data Analysis * Algorithm Development * Statistical Reporting * Data ...

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

In addition to being responsible for applying data science techniques for cybersecurity solutions. • May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

FieldAI

Product QA & Data Engineer

Irvine, CA

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline, with 2+ years of professional experience in software QA, test engineering, or data validation.

FieldAI

Product QA & Data Engineer

Irvine, CA · On-site

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline, with 2+ years of professional experience in software QA, test engineering, or data validation.

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

Saviance

QA Data Tester

They are seeking a QA Data Tester to create, test, and maintain cost scripts, ensuring that client implementations meet specifications and align with project deliverables. Responsibilities : • ...

FieldAI

Product QA & Data Engineer

Irvine, CA · On-site

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline, with 2+ years of professional experience in software QA, test engineering, or data validation.

NTT DATA Services

Remote Data QA

Atlanta, GA · Remote

$93K - $162K/yr

Senior QA Data Engineer Experience: 5-7 years Team: QA Data Engineering Team Role Summary The Senior QA Data Engineer is a strong individual contributor responsible for the most complex test design ...

NTT DATA Services

Remote Data QA

Atlanta, GA · On-site +1

$93K - $162K/yr

Senior QA Data Engineer Experience: 5-7 years Team: QA Data Engineering Team Role Summary The Senior QA Data Engineer is a strong individual contributor responsible for the most complex test design ...

NTT DATA Services

Remote Data QA

Atlanta, GA · Remote

$93K - $162K/yr

Senior QA Data Engineer Experience: 5-7 years Team: QA Data Engineering Team Role Summary The Senior QA Data Engineer is a strong individual contributor responsible for the most complex test design ...

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Qa Data Scientist information

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How much do qa data scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for qa data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Qa Data Scientist jobs?

For Qa Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Qa Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Arlington, VA • On-site

Analygence
Business Management Consulting • 201 - 500 employees
Learn more about Analygenceexternal

Full-time

Re-posted 22 days ago

Job description

Tharros is actively pursuing an opportunity to support the Air Force Mission Assurance Construct Support (MACS) program, providing mission analysis, base assessment support, and data platform management services that strengthen the Air Force's Mission Assurance Construct.

Tharrosis seeking a Data Scientist to serve as the program's senior analytical authority, leading development and application of advanced data science methods, analytical models, and Palantir Foundry applications in direct support of Mission Assurance decision-making. Where the Senior Solutions Architect provides architectural stewardship over the data infrastructure layer, the Senior Data Science Consultant leads to the analytical application layer building sophisticated models, developing Foundry applications, and providing expert consultation on how Mission Assurance data can be exploited to inform senior-leader decisionsatenterprise scale. This individual works independently on high-visibility and mission-critical analytical efforts and may oversee the work of Data Analysts, Data Managers, and Workflow Support Specialists on assigned analytical development activities.

Key Responsibilities

  • Lead development and application of advanced data science, AI/ML, statistical modeling, predictive analytics, and automation methods to extract actionable insights from Mission Assurance assessment reports, dependency data, risk records, and related stakeholder documentation.
  • Design, build, and sustain analytical models that support COA analysis, risk prioritization, dependency mapping, mitigation effectiveness evaluation, ROI-based decision support, and enterprise-level Mission Assurance risk visibility.
  • Lead development of Mission Assurance analytical applications within Palantir Foundry, including decision-support tools, risk monitoring applications, COA comparison interfaces, dashboards, and governance preparation products.
  • Support implementation, sustainment, scaling, lifecycle management, documentation, and quality assurance of Mission Assurance data workflows, analytical models, and Foundry applications.
  • Provide senior analytical consultation to AF/A33B on how Mission Assurance data can be structured, modeled, automated, and exploited to improve decision-support products for senior Air Force and Department of War leaders.
  • Develop analytical products, dashboards, monitoring views, and interfaces that provide accurate, timely Mission Assurance information and support integration with relevant Air Force, Joint, or Department of War reporting systems.
  • Aggregate, normalize, prioritize, and analyze Mission Assurance risks and dependencies at enterprise scale to identify trends, systemic vulnerabilities, recurring dependencies, cross-mission risk drivers, and resource implications.
  • Prepare decision-support briefings, risk summaries, analytical products, and COA comparison outputs for Mission Assurance governance forums, including MACBs, SSGs, and senior-leader decision cycles.
  • Coordinate analytical development activities using Government-directed collaboration and task management platforms, including Platform One, Mattermost, Jira, and Confluence, while documenting methods, findings, and product delivery.
  • Provide technical leadership, quality review, knowledge transfer, and analytical guidance to Data Analysts, Data Managers, Workflow Support Specialists, the Program Manager, and the Senior Solutions Architect on assigned data science and application development activities.

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