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Contract Data Scientist Risk Jobs (NOW HIRING)

STRATEGYGEN CO

Principal Data Scientist

Jacksonville, FL · Remote

$130K - $165K/yr

This role sits at the intersection of regulatory data science, risk modeling, and federal program oversight driving the analytical frameworks used to evaluate and prioritize compliance risk across ...

STRATEGYGEN CO

Principal Data Scientist

Jacksonville, FL · Remote

$130K - $165K/yr

This role sits at the intersection of regulatory data science, risk modeling, and federal program oversight driving the analytical frameworks used to evaluate and prioritize compliance risk across ...

Cotiviti

The Generative AI Scientist - Risk will apply knowledge and experience to real world problems and ... As a Data Scientist on this team, you will focus on three main project areas: Model Validation ...

TMS

Data Scientist

New York, NY · On-site

$60 - $62/hr

Data Scientist Duration: 6+ months contract Location: NYC- Hybrid About the Team Joining as a Data Scientist t o support risk research and analysis, you will help shape the strategic decisions of the ...

TAD PGS, Inc.

Data Scientist

Washington, DC

$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.

TAD PGS, Inc

Data Scientist

Washington, DC

$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.

Strategygen Co.

Principal Data Scientist

Jacksonville, FL · On-site +1

$130K - $165K/yr

This role sits at the intersection of regulatory data science, risk modeling, and federal program oversight driving the analytical frameworks used to evaluate and prioritize compliance risk across ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

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

Thomson Reuters

Data Scientist

Mclean, VA · On-site

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

SAIC

Data Scientist

Springfield, VA · Remote

The hiring of this position is contingent upon contract award. Anticipated award is fall of 2026 ... Support the sustainment of risk scoring tools and other data analysis implementations by ...

Koalafi

Senior Data Scientist

Richmond, VA · On-site

Partner with data science, risk, and engineering leaders to shape modeling strategy, improve credit policy, and strengthen fraud defenses in response to customer behavior and macroeconomic trends

Elder Research

Data Scientist

Arlington, VA

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 ...

Elder Research

Data Scientist

Arlington, VA · On-site

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 ...

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Contract Data Scientist Risk information

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$37.5K

$122.7K

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

As of May 30, 2026, the average yearly pay for contract data scientist risk in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Data Scientist in 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.

How does a Contract Data Scientist specializing in 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 Contract Data Scientist Risk jobs?

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.
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What cities are hiring for Contract Data Scientist Risk jobs? Cities with the most Contract Data Scientist Risk job openings:
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Contract Data Scientist Risk jobs near you
Infographic showing various Contract Data Scientist Risk job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Principal Data Scientist

Principal Data Scientist

STRATEGYGEN CO

Jacksonville, FL • Remote

$130K - $165K/yr

Full-time

Posted 5 days ago

Job description


About the Role
We are seeking a Principal Data Scientist to lead the design, maintenance, and annual evolution of risk assessment and compliance analytics solutions supporting CMS Marketplace oversight programs. This role sits at the intersection of regulatory data science, risk modeling, and federal program oversight driving the analytical frameworks used to evaluate and prioritize compliance risk across QHP issuers, web brokers, agents/brokers, and Direct Enrollment (DE/EDE) entities. 
What You Will Do
·         Lead development and ongoing refinement of structured risk assessment methodologies, including changes to data sources, measure design, risk attribution logic, and scoring calculations.
·         Design and develop compliance risk dashboards and performance monitoring tools adopted by CMS policy and audit stakeholders for operational decision-making, leveraging data visualization platforms such as Power BI, Tableau, or MS Excel.
·         Design data-driven methodologies to identify and quantify compliance risk using multi-source datasets, including the preparation and maintenance of composite measure frameworks and multi-stage risk scoring pipelines.
·         Support issuer compliance reviews, DE/EDE audits, and agent/broker oversight activities by translating regulatory requirements into technical specifications and testable data logic.
·         Develop AI and machine learning solutions with explainability to prioritize and detect noncompliance, and implement agentic AI workflows that automate ingestion, validation, and normalization of compliance data.
·         Support development and maintenance of machine-readable public use files (PUFs) and associated validation logic.
·         Integrate and harmonize CMS data systems to produce actionable insights and executive reporting, ensuring risk scoring outputs are clearly communicated to non-technical and senior stakeholders.
·         Collaborate with CMS policy, audit, and IT teams to continuously enhance oversight systems and analytical processes.
What We Are Looking For
·         Bachelor’s degree (Master’s preferred) in Data Science, Computer Science, Information Systems, Statistics, Public Health, Health Informatics, or related field.
·         5+ years of hands-on experience in advanced analytics or data science within regulated environments such as healthcare, insurance, government, or financial services.
·         3+ years of experience leading technical or cross-functional teams.
·         Proven experience building risk scoring methodologies, predictive models, or compliance analytics frameworks involving multi-source datasets.
·         Proficiency in Python and/or R, SQL, and structured data analysis (SAS experience a plus) and experience using Databricks.
·         Experience working with large, complex, multi-source datasets.
·         Expert-level proficiency in data visualization platforms (Power BI, Tableau, or MS Excel) with demonstrated experience producing dashboards for senior and non-technical stakeholders in a regulatory or federal program environment.
·         Strong ability to communicate technical methodology and findings clearly to non-technical and executive stakeholders.
·         Ability to pass a background investigation or federal security clearance for contracted project work; holding an active CMS Enterprise User Administration (EUA) ID is desired.
Preferred Experience
·         Experience supporting CMS, CCIIO, ACA Marketplace, or other federal oversight programs.
·         Familiarity with QHP compliance reviews, DE/EDE, or agent/broker oversight, agent/broker oversight, or the ACA regulatory framework.
·         Experience developing explainable AI or human-in-the-loop decision support tools.
·         Experience with methodology documentation, SOP development, or audit-ready analytical frameworks