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Senior Computer Data Scientist Jobs in Virginia (NOW HIRING)

Senior Data Scientist General Information Requisition # 717 Locations USA-VA-Arlington Posting Date ... Bachelor of Science degree in a relevant field such as statistics, computer science, economics ...

Senior Data Scientist General Information Requisition # 718 Locations USA-VA-Arlington Posting Date ... Bachelor of Science degree in a relevant field such as statistics, computer science, economics ...

... under senior supervision. Data Scientist II independently performs data analysis and modeling to ... Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field

Senior Data Scientist

Chantilly, VA ยท On-site

$130K - $160K/yr

Overview The Senior Data Scientist will support our customers initiatives by developing/maintaining/analyzing data sets in order to create models and determinate potential outcomes. The position is ...

Data Scientist

Chantilly, VA ยท On-site

$105K - $215K/yr

... under senior supervision. Data Scientist II independently performs data analysis and modeling to ... Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field

The Senior Data Scientist will play a pivotal role in developing and implementing data-driven ... Master's degree in Mathematics, Computer Science, Statistics, or other related field; or equivalent ...

Senior Data Scientist

Arlington, VA ยท On-site

$140K - $190K/yr

... degrees in engineering, computer science, mathematics, and data science, who are seeking ... The Role As a Senior Data Scientist , you will help research, develop, and integrate cutting-edge ...

Sr. Data Scientist

Fairfax, VA ยท On-site

$175K - $205K/yr

Everforth ECS is seeking a Sr. Data Scientist to join our team in Arlington, VA. This position is ... Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent experience)

Provide actionable insights for senior leadership decision-making Requirements * Active Secret ... Bachelor's Degree in a STEM field (Computer Science, Mathematics, Data Engineering, etc.) * Minimum ...

Data Scientist

Springfield, VA ยท On-site

$116K - $210K/yr

Job Summary Senior-most technical position responsible for leading the design, development ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics ...

Job Summary Senior-most technical position responsible for leading the design, development ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics ...

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts across the Intelligence Community. This role leverages advanced analytics ...

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts across the Intelligence Community. This role leverages advanced analytics ...

Job Summary Senior-most technical position responsible for leading the design, development ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics ...

Job Summary Senior-most technical position responsible for leading the design, development ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics ...

Showing results 21-40

Senior Computer Data Scientist information

What is the difference between Senior Computer Data Scientist vs Data Analyst?

AspectSenior Computer Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Computer Science, Data Science, or related fields; experience with programming, machine learningBachelor's degree in Statistics, Mathematics, or related fields; proficiency in data visualization and basic analytics
Work EnvironmentDevelops models, algorithms, and advanced analytics; often in R&D or data science teamsPrepares reports, visualizations, and interprets data for business decisions
Employer & Industry UsageTech companies, finance, healthcare, and large enterprises with complex data needsRetail, marketing, finance, and smaller organizations focusing on data reporting

While both roles analyze data, Senior Computer Data Scientists focus on building advanced models and algorithms, requiring deeper technical expertise. Data Analysts primarily interpret and visualize data for business insights. The roles often overlap in data handling but differ in complexity and technical depth.

What does a senior computer data scientist do?

A senior computer data scientist analyzes large datasets to extract insights, develop predictive models, and support decision-making processes. They often use programming languages like Python or R, employ machine learning techniques, and collaborate with cross-functional teams to solve complex problems. Their role may also involve mentoring junior staff and ensuring data quality and security.

What cities in Virginia are hiring for Senior Computer Data Scientist jobs?

Cities in Virginia with the most Senior Computer Data Scientist job openings:

Infographic showing various Senior Computer Data Scientist job openings in Virginia as of June 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Data Scientist

Arlington, VA โ€ข On-site

Elder Research
Computing Infrastructure Providers, Data Processing, Web Hostingย โ€ขย 51 - 200 employees

Full-time

Re-posted 4 days ago


Job description

Senior Data Scientist
General Information
Requisition # 717
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๏ฟฝdriven 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
  • 5-10+ 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.