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Fulltime Data Science Jobs in Virginia (NOW HIRING)

Elder Research

Data Scientist

Arlington, VA · On-site

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... You will contribute across the full data science lifecycle, from problem formulation and data ...

CarMax, Inc.

Director, Data Science

Richmond, VA · On-site

  • PTO

Associates that are considered full-time hourly or commission/incentive eligible: * To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours ...

Elder Research

Data Scientist

Arlington, VA

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... You will contribute across the full data science lifecycle, from problem formulation and data ...

Carmax

Director, Data Science

Richmond, VA

  • PTO

Associates that are considered full-time hourly or commission/incentive eligible: * To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours ...

Carmax

Director, Data Science

Richmond, VA · On-site

$161K - $258K/yr

  • PTO

Associates that are considered full-time hourly or commission/incentive eligible: * To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours ...

CACI International, Inc.

Data Scientist

Alexandria, VA · On-site

  • Medical

  • Retirement

  • PTO

Intelligence Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type ... This position requires expertise in statistical modeling, predictive analytics, data science ...

RiVidium, Inc

Data Scientist- Senior

Quantico, VA · On-site

Full-Time/Part-Time Full-Time Description RiVidium Inc. is seeking a highly experienced Senior Data Scientist to transform complex data into actionable insights that drive strategic decision-making.

Carnegie Mellon University

Data Scientist

Arlington, VA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear ... Full Time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

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All JobsFulltime Data Science JobsFulltime Data Science Jobs in Virginia

Fulltime Data Science information

What is the difference between Fulltime Data Science vs Part-time Data Science?

AspectFulltime Data SciencePart-time Data Science
Work HoursTypically 35-40 hours/weekLess than 20 hours/week
Employment TypePermanent, full benefitsTemporary or flexible arrangement
CredentialsOften requires a degree in Data Science, Statistics, or related fieldsSame credentials as fulltime, but may vary based on project needs
Work EnvironmentOffice or remote, integrated with teamFlexible, often remote or freelance

Fulltime Data Science roles involve consistent, long-term employment with comprehensive benefits, requiring full credentials and offering a stable work environment. Part-time Data Science positions provide flexibility and shorter commitments, suitable for project-based work or supplementary income, with similar credential requirements but fewer benefits.

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Fulltime Data Science jobs near you

Data Scientist

Elder Research

Arlington, VA • On-site

Full-time

Re-posted 15 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.

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