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At Home Data Scientist Risk Jobs in Burke, VA (NOW HIRING)

Elder Research

Data Scientist

Arlington, VA · On-site

... risk identification across large, complex tax and financial data environments. You will work ... Willingness to travel and work on-site at client locations as required by project needs Preferred ...

Elder Research

Data Scientist

Arlington, VA · On-site

... risk identification across large, complex tax and financial data environments. You will work ... Willingness to travel and work on-site at client locations as required by project needs Preferred ...

Elder Research

Data Scientist

Arlington, VA

... risk identification across large, complex tax and financial data environments. You will work ... Willingness to travel and work on-site at client locations as required by project needs Preferred ...

TAD PGS, Inc.

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

... risk at the information system, division, branch, and enterprise level. * Researches and recommends ... Experience with data science tools and software such as Microsoft Power BI, Anaconda, and ...

TAD PGS, Inc

Data Scientist

Washington, DC

$52.88 - $57.69/hr

... risk at the information system, division, branch, and enterprise level. * Researches and recommends ... Experience with data science tools and software such as Microsoft Power BI, Anaconda, and ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

At least 3 years of relevant experience. Relevant experience can include some combination of ... Large Data Modeling: risk modeling, community detection, classification, computer vision, and ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

At least 3 years of relevant experience. Relevant experience can include some combination of ... Large Data Modeling: risk modeling, community detection, classification, computer vision, and ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ... As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ... As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ... As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA

... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ... As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ...

Amazon

Data Scientist, AWS Security

Arlington, VA · On-site

Key job responsibilities - Running experiments to assess potential risk of security responses ... Achieving success at work should never come at the expense of sacrifices at home, which is why ...

SAIC

Data Scientist

Springfield, VA · Remote

Work will be performed at the customer site in Springfield, VA. The hiring of this position is ... Support the sustainment of risk scoring tools and other data analysis implementations by ...

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At Home Data Scientist Risk information

See Burke, VA salary details

$37K

$121.2K

$194K

How much do at home data scientist risk jobs pay per year?

As of May 28, 2026, the average yearly pay for at home data scientist risk in Burke, VA is $121,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,300.00 per year, depending on experience, location, and employer.

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are popular job titles related to At Home Data Scientist Risk jobs in Burke, VA? For At Home Data Scientist Risk jobs in Burke, VA, the most frequently searched job titles are:
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At Home Data Scientist Risk jobs near you
Data Scientist

Data Scientist

Elder Research

Arlington, VA • On-site

Full-time

Posted 21 days ago

Job description

Data Scientist
General Information
Requisition # 674
Locations USA-VA-Arlington
Posting Date 03/04/2026
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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