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Freelance Data Scientist Risk Jobs in Washington

SAIC

Data Scientist

Chantilly, VA · On-site

$200K - $240K/yr

Engineering and Sciences Subcategory: Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel ... risk, and data-informed tradeoffs. Job Responsibilities to include: * Supports designing and ...

Tulk LLC

Data Scientist - Mid

Fort Belvoir, VA · On-site

$120K - $155K/yr

Data Scientist - Mid TULK is a leading boutique consulting firm providing technology and management ... Support risk scoring, anomaly detection, performance monitoring, and other data analysis ...

SAIC

Data Scientist

Chantilly, VA · On-site

$200K - $240K/yr

As the Data Scientist you will support the analysis of complex data to drive strategic mission ... risk, and data-informed tradeoffs. Job Responsibilities to include: * Supports designing and ...

AIToolboard

Data Scientist

Washington, DC · On-site

... risk, and what to do next. By identifying risks early, diagnosing root causes, and recommending ... Data Scientist TS/SCI (DC/NoVA)Virtualitics introduced Intelligent Exploration to the analytics ...

Tulk LLC

Data Scientist Senior

Fort Belvoir, VA · On-site

$140K - $173K/yr

Data Scientist - Senior TULK is a leading boutique consulting firm providing technology and ... Support risk scoring, anomaly detection, forecasting, performance monitoring, and other advanced ...

Booz Allen Hamilton

ICAM Data Scientist

Mclean, VA

$77K - $176K/yr

ICAM Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... identity-risk scoring. * Leverage AI intelligently to drive efficiency and quality of output.

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

Overview The Senior Data Scientist will support our customers initiatives by developing/maintaining ... Hypothesis development and validation of budget and schedule sufficiency/achievability and risk ...

Booz Allen Hamilton

ICAM Data Scientist

Mclean, VA · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... identity-risk scoring. Leverage AI intelligently to drive efficiency and quality of output.

New

OpenDataJobs

Data Scientist Role

Washington, DC · On-site

The work Data Scientists turn difficult questions and complex data into evidence. They work with ... risk, anomaly-detection, segmentation, causal, simulation, or optimization models matched to the ...

OpenDataJobs

Data Scientist Role

Washington, DC · On-site

The work Data Scientists turn difficult questions and complex data into evidence. They work with ... risk, anomaly-detection, segmentation, causal, simulation, or optimization models matched to the ...

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All JobsData Scientist Risk JobsFreelance Data Scientist Risk JobsFreelance Data Scientist Risk Jobs in Washington

Freelance Data Scientist Risk information

What is the difference between Freelance Data Scientist Risk vs Freelance Data Analyst Risk?

AspectFreelance Data Scientist RiskFreelance Data Analyst Risk
Required CredentialsAdvanced degrees in data science, statistics, or related fields; certifications like CAP, DASCABachelor's or master's in data analysis, statistics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentComplex modeling, predictive analytics, machine learning projectsData cleaning, reporting, visualization, basic statistical analysis
Employer & Industry UsageConsulting firms, finance, healthcare, tech companiesBusiness intelligence, marketing, finance, healthcare

Freelance Data Scientist Risk focuses on advanced analytics and predictive modeling, requiring specialized skills and certifications. Freelance Data Analyst Risk handles data reporting and visualization, often with less technical depth. Both roles serve different client needs but share a focus on risk-related data analysis.

What are the most commonly searched types of Data Scientist Risk jobs in Washington?

The most popular types of Data Scientist Risk jobs in Washington are:

Freelance Data Scientist Risk jobs near you

Senior Data Scientist

Arlington, VA • On-site, Remote

ManTech International
IT Services • 5 - 10K employees
Learn more about ManTech Internationalexternal

Full-time

Medical, Life, Retirement, PTO

Posted 18 days ago

ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

General information
Requisition #
R70242
Locations
USA-VA-Arlington, USA-Remote Work
Posting Date
08/24/2026
Security Clearance Required
Public Trust/Suitability
Remote Type
Hybrid
Time Type
Full time
Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
***This is for a future opportunity***
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
  • 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

The projected compensation range for this position is $104,200.00-$172,900.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
MANTECH 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 MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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