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Contract Data Scientist Risk Jobs in Ashburn, VA

Data Scientist

Mclean, VA · Remote

$142K - $228K/yr

... risk signals into a transparent, defensible score. This role also prepares the scoring approach and ... logic (data inputs, contracts, output formats, and performance expectations). * Establish ...

We have an outstanding Contract position for a Data Scientist to join a leading Company located in ... predictive risk models backed by statistical analysis and supports data-driven solutions.

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

We have an outstanding Contract position for a Data Scientist to join a leading Company located in ... predictive risk models backed by statistical analysis and supports data-driven solutions.

... risk signals into a transparent, defensible score. This role also prepares the scoring approach and ... logic (data inputs, contracts, output formats, and performance expectations). * Establish ...

Data Scientist

Mclean, VA · On-site

$142K/yr

... risk signals into a transparent, defensible score. This role also prepares the scoring approach and ... logic (data inputs, contracts, output formats, and performance expectations). * Establish ...

Data Scientist

Mclean, VA · On-site

$125 - $190/hr

... risk signals into a transparent, defensible score. This role also prepares the scoring approach and ... logic (data inputs, contracts, output formats, and performance expectations). * Establish ...

Outside of contract work, TRSS Data Scientists contribute to internal innovation by participating ... Large Data Modeling: risk modeling, community detection, classification, computer vision, and ...

Outside of contract work, TRSS Data Scientists contribute to internal innovation by participating ... Large Data Modeling: risk modeling, community detection, classification, computer vision, and ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

As a Data Scientist, you will support the Internal Revenue Services mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

ShiftCode Analytics, Inc. is seeking a Data Scientist to work onsite in Reston, VA. The role ... Preferred : • Background in risk modeling, financial services, or product analytics. • ...

Data Scientist

Arlington, VA · On-site

$80 - $100/hr

As a Data Scientist , you will work directly with clients, managers, and technical staff to ... risk, fraud, and cyber threats using data discovery, predictive analytics, trend analysis ...

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Showing results 1-20

Contract Data Scientist Risk information

See Ashburn, VA salary details

$38.3K

$125.5K

$200.9K

How much do contract data scientist risk jobs pay per year?

As of Aug 20, 2026, the average yearly pay for contract data scientist risk in Ashburn, VA is $125,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $139,100.00 per year, depending on experience, location, and employer.

What is a contract data scientist risk?

Contract Data Scientist Risk jobs involve analyzing large datasets to identify, assess, and model risks within an organization on a contract or temporary basis. These professionals use statistical techniques, machine learning, and data visualization to help companies make informed decisions about risk management. Their work often focuses on financial, operational, or compliance risks, and they typically collaborate with risk managers and other stakeholders. Contract roles offer flexibility and are often project-based, allowing companies to access specialized expertise when needed.

How does a contract data scientist risk typically collaborate with cross-functional teams within an organization?

As a Contract Data Scientist focused on risk, you’ll frequently work alongside risk analysts, compliance officers, IT professionals, and business managers to identify, assess, and mitigate potential threats to the organization. You’ll translate complex data models into actionable insights, present findings to non-technical stakeholders, and often participate in strategic meetings to align your analyses with business goals. Effective communication and teamwork are essential, as your models and recommendations directly influence decision-making across departments. This collaborative environment allows you to quickly gain exposure to different areas of the business and expand your professional network.

What are the key skills and qualifications needed to thrive as a contract data scientist risk, and why are they important?

To thrive as a Contract Data Scientist in Risk, you need strong analytical skills, proficiency in statistical modeling, and a solid background in mathematics or computer science, often supported by an advanced degree. Familiarity with programming languages like Python or R, expertise in machine learning libraries, and experience with risk modeling platforms or data visualization tools are typically required. Outstanding problem-solving abilities, attention to detail, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately identifying, assessing, and mitigating risks, enabling data-driven decision-making in dynamic business environments.

What are the most commonly searched types of Data Scientist Risk jobs in Ashburn, VA?

The most popular types of Data Scientist Risk jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Contract Data Scientist Risk jobs?

Cities near Ashburn, VA with the most Contract Data Scientist Risk job openings:

Infographic showing various Contract Data Scientist Risk job openings in Ashburn, VA as of July 2026, with employment types broken down into 62% Full Time, 20% Part Time, 1% Temporary, and 17% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $125,513 per year, or $60.3 per hour.

Data Scientist

Bigbear.ai

Mclean, VA • Remote

$142K - $228K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Overview

The Data Scientist designs and builds the v1 rule-weighted composite scoring logic that turns normalized risk signals into a transparent, defensible score. This role also prepares the scoring approach and model architecture for future interpretable ML-based scoring—ensuring explainability is preserved for adjudicator-facing workflows and audit needs. The ideal candidate blends practical applied data science with strong judgment around interpretability, traceability, and operational usability.

This position is fully remote however travel in the DMV area will be expected.


Responsibilities

  • Build and tune v1 rule-weighted composite scoring logic using normalized inputs from the common risk-signal schema.
  • Define scoring framework components (feature groupings, weights, thresholds, guardrails, and handling of missing/partial data).
  • Create interpretable explanations for scores and drivers suitable for adjudicator review (reason codes, key contributing signals, and traceable logic).
  • Design the scoring architecture to support evolution from rules/weights to interpretable ML models while maintaining auditability.
  • Prototype and evaluate interpretable model classes and explanation methods (e.g., SHAP-based explanations, constrained/monotonic models where appropriate, and rule-based hybrids).
  • Partner with data engineering and application teams to productionize scoring logic (data inputs, contracts, output formats, and performance expectations).
  • Establish validation and monitoring approaches (basic model/score QA, drift indicators, and score distribution checks).
  • Document scoring methodology, assumptions, and limitations for stakeholder understanding and accreditation/compliance artifacts as needed.

Qualifications

  • Clearance: Must maintain an active TS/SCI security clearance
  • Bachelor's Degree and 8 to 10 years of experience; Master's Degree and 6 to 8 years of experience; PhD and 3 to 5 years of experience (in lieu of Bachelor’s degree, 6 additional years of relevant experience)
  • 3–5 years of applied data science experience delivering scoring, ranking, or decision-support models.
  • Experience implementing interpretable approaches (rule-based systems, transparent composite scores, and/or explainability methods such as SHAP).
  • Strong Python skills, including scikit-learn and common data science workflows.
  • Hands-on experience with SQL for data analysis, feature development, and validation.
  • Ability to communicate scoring logic clearly to technical and non-technical stakeholders (including explaining tradeoffs between accuracy and interpretability).
  • Familiarity with adjudicative, compliance, fraud/risk, or other risk-scoring domains (preferred/bonus).
  • IC/DoD experience