1

Applications Scientist Jobs in Virginia (NOW HIRING)

Lead development of Mission Assurance analytical applications within Palantir Foundry, including ... science and application development activities.

The candidate will be part of a team of Software Developers, ETL Developers, and Data Scientists to enhance existing production applications and build out new web services on a routinized production ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

... applications and/or operations. * Includes strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies. Level 3 Data Scientist:

The candidate will be part of a team of Software Developers, ETL Developers, and Data Scientists to enhance existing production applications and build out new web services on a routinized production ...

The candidate will be part of a team of Software Developers, ETL Developers, and Data Scientists to enhance existing production applications and build out new web services on a routinized production ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

... applications and/or operations. * Includes strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies. Level 3 Data Scientist:

As a Data Scientist, you will focus on using advanced techniques to solve the Sponsor's most ... Ability to develop persistent monitoring applications for statistical or machine learning processes ...

Staff - Scientist Worker Sub-Type: Fixed Term (requires end date - benefited) (Fixed Term) Job ... Experience with web-based model applications or visualization tools * Knowledge of coastal and ...

Must be able to obtain DHS Suitability * BS Computer Science, Computer Engineering, Computer ... in applications development * Knowledge of secure software development lifecycle and code ...

College of Science Classification: Research Staff 12-month Job Category: Research Staff Job Type ... Develop Advanced ML/AI Models for Air Quality Applications * Applies machine learning (ML) and ...

Data Scientists supporting these efforts work at the intersection of data science, applied research, and software engineering to develop advanced capabilities, prototype new applications, and help ...

Support development, enhancement, and sustainment of software applications within DoW C4ISR ... Computer Science Software Engineer or Computer-Related Degrees Only: Candidate must be working ...

... an Applications Specialist and play a key role in driving digital excellence across a global ... Bachelor's degree in Computer Science, Engineering, Business Management, or a related field.

New

Data Scientists supporting these efforts work at the intersection of data science, applied research, and software engineering to develop advanced capabilities, prototype new applications, and help ...

Showing results 21-40

Applications Scientist information

See Virginia salary details

$16

$52

$84

How much do applications scientist jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for applications scientist in Virginia is $52.19, according to ZipRecruiter salary data. Most workers in this role earn between $41.92 and $60.05 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an applications scientist?

To thrive as an Applications Scientist, you need a strong background in scientific research, data analysis, and product/application expertise, often supported by a degree in chemistry, biology, or a related field. Familiarity with laboratory instrumentation, specialized software (such as chromatography or spectroscopy programs), and sometimes relevant certifications are typically required. Excellent communication, problem-solving abilities, and customer-focused interpersonal skills help you translate technical information and support clients effectively. These skills ensure you can bridge the gap between product development and end-users, driving customer satisfaction and successful product adoption.

What are some common challenges applications scientists face when working with customers on integrating new technologies?

Applications Scientists often encounter challenges such as bridging the gap between complex technical capabilities and the specific needs of end-users. They must translate scientific principles into practical solutions, address unforeseen technical hurdles during product integration, and provide clear documentation and training. Effective communication and adaptability are crucial, as they frequently collaborate with cross-functional teams—including R&D, sales, and customer support—to ensure successful product adoption and user satisfaction.

What is the difference between Applications Scientist vs Product Specialist?

AspectApplications ScientistProduct Specialist
Required credentialsTypically requires a degree in life sciences, chemistry, or related fields; often a master's or PhDUsually holds a degree in science or engineering; certifications may enhance credibility
Work environmentLaboratory, customer sites, or corporate R&DCustomer-facing, sales, and technical support settings
Employer and industry usageBiotech, pharma, and scientific instrument companiesInstrument and equipment manufacturers, biotech firms

Applications Scientists and Product Specialists often collaborate but focus on different aspects. Applications Scientists primarily support product development and technical validation, while Product Specialists focus on customer engagement and sales support. Both roles require scientific expertise but serve distinct functions within the industry.

What is an applications scientist?

Applications Scientists are professionals who bridge the gap between scientific research and product development by providing technical support, training, and solutions to customers using scientific instruments or software. They work closely with sales, marketing, and research teams to demonstrate how products can be applied to solve specific problems in various industries, such as biotechnology, pharmaceuticals, or materials science. Their role often includes conducting product demonstrations, troubleshooting issues, and offering technical expertise to ensure customer success.

Do you need a PhD to be an Applications Scientist?

A PhD is often preferred for Applications Scientist roles, especially in highly specialized fields like biotechnology or pharmaceuticals, but it is not always required. Many positions also consider candidates with a master's degree and relevant experience in scientific research, technical skills, and product knowledge.
What job categories do people searching Applications Scientist jobs in Virginia look for? The top searched job categories for Applications Scientist jobs in Virginia are:
Infographic showing various Applications Scientist job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,551 per year, or $52.2 per hour.

Data Scientist

Analygence

Arlington, VA • On-site

Full-time

Posted 17 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.