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Full Time Data Scientist Risk Jobs (NOW HIRING)

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 ...

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... risk identification across large, complex tax and financial data environments. You will work ...

Data Scientist Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible ...

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... risk identification across large, complex tax and financial data environments. You will work ...

... include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection ... Data Scientist Location: Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2 ...

... include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection ... Madison, WI Full Time (Direct Hire) 5+ Years of total experience and 2-4 years of in-depth and ...

Job Summary The Health Research and Analytics (HRA) business line is seeking a highly motivated, full-time Data Scientist to join our team in support of our government customer, U.S. Special ...

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

Job Summary The Health Research and Analytics (HRA) business line is seeking a highly motivated, full-time Data Scientist to join our team in support of our government customer, U.S. Special ...

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

Senior Data Scientist

$149K - $171.50K/yr

D. is preferred. * 7 years of professional full-time data science experience, with a proven track record of developing and deploying production-grade ML models. * Candidates should have experience ...

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Support the sustainment of risk scoring tools and other data analysis implementations by ...

Senior Data Scientist

San Jose, CA · On-site

$150K - $175K/yr

Design, present & document AI-based initiatives to our clients, typically banking and risk ... Help mentor and train junior data scientists on RDC.AI methodologies, AI/ML best practices and ...

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

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 ...

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Showing results 1-20

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 May 30, 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:
Principal Data Scientist

Principal Data Scientist

Strategygen Co.

Jacksonville, FL • On-site, Remote

$130K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Benefits:
  • 401(k)
  • 401(k) matching
  • Competitive salary
  • Dental insurance
  • Health insurance
  • Paid time off
  • Tuition assistance
  • Vision insurance

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
This is a remote position.
Compensation: $130,000.00 - $165,000.00 per year
About StrategyGen
Empowering Decisions with Precision and Insights
StrategyGen was founded in 2009 and received its SBA HUBZone small business certification in 2021. We are a unique and differentiated HUBZone small business that provides highly specialized policy and regulatory specialists, market researchers, healthcare professionals, physicians, clinicians, and SME PhD's.
StrategyGen's Mission
Our Mission is to exceed our clients' expectations by providing innovative, pragmatic and cost-effective solutions for their most complex problems.
Vision
Our Vision is to improve the health of healthcare for good.
Values
  • Act with the highest integrity and ethics.
  • Focus on collaboration.
  • Create long-term partnerships and relationships.
  • Approach change as an exciting opportunity.
  • Provide the customer with deliverables of the highest quality.
  • Be proactive and exceed expectations.
  • Respect and value others.
  • Accept responsibility.
  • Lead with care, compassion, and empathy.