1

Process Scientist Jobs in Virginia (NOW HIRING)

Data Scientist General Information Requisition # 716 Locations USA-VA-Arlington Posting Date 06/12 ... Experience with Natural Language Processing (NLP) and text analytics applied to unstructured ...

Data Scientist General Information Requisition # 713 Locations USA-VA-Arlington Posting Date 06/12 ... Experience with Natural Language Processing (NLP) and text analytics applied to unstructured ...

Data Scientist General Information Requisition # 712 Locations USA-VA-Arlington Posting Date 06/12 ... Experience with Natural Language Processing (NLP) and text analytics applied to unstructured ...

Data Scientist General Information Requisition # 714 Locations USA-VA-Arlington Posting Date 06/12 ... Experience with Natural Language Processing (NLP) and text analytics applied to unstructured ...

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04 ... Experience with Natural Language Processing (NLP) and text analytics applied to unstructured ...

Process Engineer

Blacksburg, VA · On-site

$65K - $125K/yr

Materials Science and Engineering * Mechanical Engineering * Industrial Engineering Preferred: * Background in electronic assembly process. * Background in MIL-STD, J-STD or IPC Standards. * Ability ...

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

The impact an experienced data scientist can have on an organization is immense, including automating manual processes, predicting future trends, and detecting anomalies. Data Scientist, Level 2 ...

Materials Science and Engineering * Mechanical Engineering * Industrial Engineering Preferred: * Background in electronic assembly process. * Background in MIL-STD, J-STD or IPC Standards. * Ability ...

Data Scientist The Opportunity: In this role, you will apply data science techniques and methods ... Employ expert judgment, adaptable methodologies, repeatable analytic processes, and enterprise-wide ...

Data Scientist The Opportunity: In this role, you will apply data science techniques and methods ... Employ expert judgment, adaptable methodologies, repeatable analytic processes, and enterprise-wide ...

Data Scientist

Mclean, VA

$125K - $160K/yr

We are seeking a Data Scientist to design, build, and deliver predictive analytics, machine ... Support human-centered design processes by translating user needs into modeling requirements and ...

Process Engineer

Blacksburg, VA · On-site

$65K - $125K/yr

Materials Science and Engineering * Mechanical Engineering * Industrial Engineering Preferred: * Background in electronic assembly process. * Background in MIL-STD, J-STD or IPC Standards. * Ability ...

Research Scientist

Hampton, VA · On-site

$90 - $125/hr

Background in processes governing atmospheric physics, chemistry, and/or dynamics.* Scientific programming proficiency in Python, MATLAB, IDL, or similar languages.* Experience analyzing atmospheric ...

Senior Scientist

Herndon, VA · On-site +1

$94K - $128K/yr

Support the full TCPED process for OPIR - from tasking and collection planning through exploitation ... Bachelor's degree in Image Science, Engineering, Applied Physics, Atmospheric Science, Applied ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Support human-centered design processes by translating user needs into modeling requirements and ...

Showing results 41-60

Process Scientist information

See Virginia salary details

$26

$41

$83

How much do process scientist jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for process scientist in Virginia is $41.46, according to ZipRecruiter salary data. Most workers in this role earn between $30.16 and $45.59 per hour, depending on experience, location, and employer.

What is a process scientist?

A Process Scientist is a professional who develops, optimizes, and monitors manufacturing processes, particularly in industries such as pharmaceuticals, biotechnology, and chemicals. They ensure that production methods are efficient, safe, and comply with regulatory standards. Process Scientists analyze data, troubleshoot issues, and collaborate with engineers and quality teams to improve product yield and quality. Their role is essential for scaling up laboratory procedures to full-scale production while maintaining product consistency.

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

To thrive as a Process Scientist, you need a strong background in chemistry, biochemistry, or chemical engineering, often supported by a relevant degree. Familiarity with analytical instrumentation, process control systems, and statistical analysis software like JMP or Minitab is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this role. These competencies are crucial for ensuring process optimization, regulatory compliance, and successful collaboration within multidisciplinary teams.

What are some common challenges faced by process scientists when scaling up from laboratory to production environments?

Process Scientists often encounter challenges when transitioning a process from the lab to large-scale manufacturing, including maintaining product quality, ensuring consistency, and adapting protocols to different equipment. Variability in raw materials, unforeseen process bottlenecks, and the need for cross-functional collaboration with engineering and quality teams can also arise. Success in this role requires strong problem-solving skills, adaptability, and effective communication with both scientific and operational staff to ensure smooth technology transfer and process validation.

What is the difference between Process Scientist vs Process Engineer?

AspectProcess ScientistProcess Engineer
CredentialsBachelor's or Master's in Chemistry, Chemical Engineering, or related fieldsBachelor's or Master's in Chemical Engineering or related fields
Work EnvironmentLaboratories, R&D settings, product developmentManufacturing plants, production lines, process optimization
Industry UsagePharmaceuticals, biotech, chemicals, food & beveragePharmaceuticals, chemicals, consumer goods manufacturing
Primary FocusResearch, formulation, process developmentScale-up, process optimization, production efficiency

While both roles require a background in chemistry or engineering, Process Scientists focus on research and developing new processes or formulations in labs, whereas Process Engineers work on scaling up these processes for manufacturing and improving production efficiency. Understanding these differences helps in choosing the right career path or job search focus.

Infographic showing various Process Scientist job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $86,234 per year, or $41.5 per hour.

Data Scientist

Arlington, VA • On-site

Elder Research
Computing Infrastructure Providers, Data Processing, Web Hosting • 51 - 200 employees

Full-time

Re-posted 24 days ago


Job description

Data Scientist
General Information
Requisition # 716
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
  • Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration
  • Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation
  • Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science�driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders
  • Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results
  • Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact
  • Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment
  • Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills

Minimum Qualifications:
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • 2-10+ years of experience in data science, analytics, or a related technical field
  • Experience using version control systems (e.g., Git) and collaborative development practices
  • Strong understanding of relational databases and SQL
  • Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone
  • Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges
  • Willingness to travel and work on-site at client locations as required by project needs

Preferred Qualifications:
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)
  • Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS
  • Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities
  • Experience with containerization and environment management (e.g., venv, conda)
  • Experience operating in secure or remote government environments, including use of bash and command-line tools

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.