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Full Time Data Scientist Risk Jobs (NOW HIRING)

Syntelligent Analytic Solutions

$107K - $115K/hr

Accountability, Mission Driven, Community Focus and Team Oriented.  Syntelligent is seeking a full time Data Scientist for a future opening available with a government customer.*** This is a ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

LP Building Solutions

Data Scientist

Nashville, TN · On-site

Hybrid Job Purpose LP Building Solutions, a large specialty building products manufacturer, is looking for a full-time data scientist to join the data analytics team. Leveraging advanced analytical ...

Elder Research

Data Scientist

Arlington, VA · On-site

... 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 ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... 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 ...

Honeywell

Advanced Data Scientist

Atlanta, GA

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

Innovizant LLC

Data Scientist

Madison, WI

... 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 ...

Block

Senior Decision Scientist, Risk

San Francisco, CA · On-site +1

The Role We're looking for a Decision Scientist to develop, implement, and own automatic risk ... In this role, you'll apply data-driven techniques to identify opportunities, design risk policies ...

WebstaurantStore

Data Scientist - Marketing

Lititz, PA · On-site +1

Job Summary 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 for ...

Govcio LLC

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

WebstaurantStore

Sr Data Scientist

Lititz, PA · On-site +1

Job Summary 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 for ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

... 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 ...

WebstaurantStore

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

Job Summary 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 for ...

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Full Time Data Scientist Risk information

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

As of Jul 13, 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:
Full Time Data Scientist Risk jobs near you
Generative AI Scientist - (Model Risk & Validation)

Generative AI Scientist - (Model Risk & Validation)

Cotiviti

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

42nd of 210 rated it services

Job description

Overview
Join a recently formed team focused on Model Risk and Responsible AI. The Generative AI Scientist - Risk will apply knowledge and experience to real world problems and seek to utilize their skills to reduce the cost of healthcare and improve health quality and outcomes. As a Data Scientist on this team, you will focus on three main project areas: Model Validation, Model Metrics and Monitoring, and Responsible AI. This requires someone with depth in AI/ML/GenAI from a data science perspective, versatility to think in terms of technology systems, and some understanding of emerging areas of Responsible AI and AI Ethics. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact to business outcomes.
Responsibilities
  • As a Generative AI Scientist within Cotiviti you will be responsible for delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes. You will work as part of a team and will be individually responsible for the delivery of value associated with your projects.
  • Conduct independent model validation of existing models for benchmarking, assessment, and gauging effectiveness.
  • Determine aspects of model drift and related data drift for the purpose of model risk management (MRM) to both reduce risk and also find opportunities to drive new revenue growth and innovation. Apply deep expertise with AI/ML/GenAI model development, including hands-on experience with model building and model evaluation.
  • Benchmark and potentially rebuild existing models as needed using updated data, and potentially newer, more modern and effective algorithms.
  • Actively drive improvements in model monitoring activities, including methods for model registration, model metadata management, and conceptualizing approaches for related tools and techniques. Complete all responsibilities as outlined in the annual performance review and/or goal setting.
  • Complete all special projects and other duties as assigned.
  • Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
Qualifications
  • Graduate Degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.
  • Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain, LLAMA/Mistral and OpenAI, vector databases.
  • 1+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
  • Experience working with Apache Spark™ and large-scale distributed datasets.
  • Experience communicating technical concepts to non-technical and technical audiences is a plus.
  • Passion for collaboration, learn it all mindset and driving value with AI.

Preferred Qualifications:
  • Familiarity with healthcare payor ecosystem and related data.
  • General understanding of Responsible AI (RAI), including explainability (XAI), AI NIST RMF, and related AI risk management frameworks.
  • Experience and understanding evaluating models for bias and fairness, with aptitude for detecting bias in the model design and data, as well as using metrics such as SHAP and LIME.
  • Understanding appropriate model metrics and techniques for managing, evaluating and monitoring GenAI models and LLMs.
  • Understanding and familiarity with model governance and data governance best practices.
  • Strong understanding of technology systems for model development (e.g., Python, DataRobot, AWS Sagemaker), model deployments (AWS, Azure, DataRobot, DataBricks), model monitoring (AWS Model Monitor, MLFlow, NannyML, FiddlerAI, Arize) and related tools for model management and metadata management.

Cognitive / Mental Requirements:
  • Ability to work independently as well as collaborate as a team with a sense of urgency.
  • Professional with ability to properly handle confidential information.
  • Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.
  • Ability to handle multiple tasks, prioritize and meet deadlines.
  • Ability to work within a matrixed organization.
  • Proficiency in all required skills and competencies above.
  • Communicating with others and teamwork.
  • Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions:
  • Flexibility to work with global teams as well geographically dispersed US based teams.
  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands, and/or fingers.
  • Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
  • Must be able to provide a dedicated, secure work area.

Base compensation ranges from $110,000 to $130,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.
Since this job will be based remotely, all interviews will be conducted virtually.
Date of posting: 6/23/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 9/23/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
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