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Full Time Data Scientist Risk Jobs (NOW HIRING)

Design, build, and sustain analytical models that support COA analysis, risk prioritization ... data science and application development activities.

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 ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Our insurance risk solutions help drive better data-driven decisions across the insurance policy ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful business impact? Do you enjoy solving complex analytical challenges, working with large-scale data ...

... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Fort George G Meade, MD · On-site

$156K - $176K/yr

Early data science input during IOC ensures that data collected will be suitable for downstream AI development, reducing risk and accelerating capability maturation during follow-on implementation

... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Alexandria, VA · On-site

$99K - $225K/yr

... risk, and develop courses of action. Employ expert judgment, adaptable met hodologies, repeatable ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Analyze spatial, exposure, catastrophe, and loss data to identify trends, concentrations of risk ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Geographic ...

... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Governance & Risk Advisory • Partner with the Sr. Director of AI & Digital Innovation to provide expert data science input into the organization's AI governance processes, policies, and ...

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... risk, and data-informed tradeoffs. Job Responsibilities to include: * Supports designing and ...

Showing results 41-60

Full Time Data Scientist Risk information

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$37.5K

$122.7K

$196.5K

How much do full time data scientist risk jobs pay per year?

As of Sep 12, 2026, the average yearly pay for full time 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 is the difference between Full Time Data Scientist Risk vs Full Time Data Analyst Risk?

AspectFull Time Data Scientist RiskFull Time Data Analyst Risk
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; sometimes certifications in risk analyticsBachelor's in Data Analysis, Statistics, or related fields; certifications are common but less specialized
Work EnvironmentCollaborates with risk management teams, develops models, analyzes complex data setsPrepares reports, analyzes data trends, supports risk decision-making
Employer & Industry UsageFinancial institutions, insurance companies, banksFinancial firms, insurance companies, consulting agencies

Full Time Data Scientist Risk roles focus on developing advanced risk models and leveraging complex data analysis, requiring specialized skills and certifications. Full Time Data Analyst Risk positions involve data reporting and trend analysis to support risk decisions, often with less emphasis on modeling. Both roles are vital in risk management but differ in technical depth and responsibilities.

What cities are hiring for Full Time Data Scientist Risk jobs?

Cities with the most Full Time Data Scientist Risk job openings:

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

The most popular types of Data Scientist Risk jobs are:

What states have the most Full Time Data Scientist Risk jobs?

States with the most job openings for Full Time Data Scientist Risk jobs include:

What are popular job titles related to Full Time Data Scientist Risk jobs?

For Full Time Data Scientist Risk jobs, the most frequently searched job titles are:

Analygence
Business Management Consulting • 201 - 500 employees

Full-time

Re-posted 24 days ago


Job description

Tharros is actively pursuing an opportunity to support the Air Force Mission Assurance Construct Support (MACS) program, providing mission analysis, base assessment support, and data platform management services that strengthen the Air Force's Mission Assurance Construct.

Tharrosis seeking a Data Scientist to serve as the program's senior analytical authority, leading development and application of advanced data science methods, analytical models, and Palantir Foundry applications in direct support of Mission Assurance decision-making. Where the Senior Solutions Architect provides architectural stewardship over the data infrastructure layer, the Senior Data Science Consultant leads to the analytical application layer building sophisticated models, developing Foundry applications, and providing expert consultation on how Mission Assurance data can be exploited to inform senior-leader decisionsatenterprise scale. This individual works independently on high-visibility and mission-critical analytical efforts and may oversee the work of Data Analysts, Data Managers, and Workflow Support Specialists on assigned analytical development activities.

Key Responsibilities

  • Lead development and application of advanced data science, AI/ML, statistical modeling, predictive analytics, and automation methods to extract actionable insights from Mission Assurance assessment reports, dependency data, risk records, and related stakeholder documentation.
  • Design, build, and sustain analytical models that support COA analysis, risk prioritization, dependency mapping, mitigation effectiveness evaluation, ROI-based decision support, and enterprise-level Mission Assurance risk visibility.
  • Lead development of Mission Assurance analytical applications within Palantir Foundry, including decision-support tools, risk monitoring applications, COA comparison interfaces, dashboards, and governance preparation products.
  • Support implementation, sustainment, scaling, lifecycle management, documentation, and quality assurance of Mission Assurance data workflows, analytical models, and Foundry applications.
  • Provide senior analytical consultation to AF/A33B on how Mission Assurance data can be structured, modeled, automated, and exploited to improve decision-support products for senior Air Force and Department of War leaders.
  • Develop analytical products, dashboards, monitoring views, and interfaces that provide accurate, timely Mission Assurance information and support integration with relevant Air Force, Joint, or Department of War reporting systems.
  • Aggregate, normalize, prioritize, and analyze Mission Assurance risks and dependencies at enterprise scale to identify trends, systemic vulnerabilities, recurring dependencies, cross-mission risk drivers, and resource implications.
  • Prepare decision-support briefings, risk summaries, analytical products, and COA comparison outputs for Mission Assurance governance forums, including MACBs, SSGs, and senior-leader decision cycles.
  • Coordinate analytical development activities using Government-directed collaboration and task management platforms, including Platform One, Mattermost, Jira, and Confluence, while documenting methods, findings, and product delivery.
  • Provide technical leadership, quality review, knowledge transfer, and analytical guidance to Data Analysts, Data Managers, Workflow Support Specialists, the Program Manager, and the Senior Solutions Architect on assigned data science and application development activities.