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Full Time Data Scientist Risk Jobs in Madison, WI

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise ... Ability to make and defend technical tradeoff decisions balancing accuracy, cost, risk, and ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise ... Ability to make and defend technical tradeoff decisions balancing accuracy, cost, risk, and ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise ... Ability to make and defend technical tradeoff decisions balancing accuracy, cost, risk, and ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise ... Ability to make and defend technical tradeoff decisions balancing accuracy, cost, risk, and ...

This role assists with risk assessments, maintenance of the risk register, control evaluations ... This is a full-time position based at Sub-Zero Group's headquarters in Fitchburg, Wisconsin, just ...

This role assists with risk assessments, maintenance of the risk register, control evaluations ... This is a full-time position based at Sub-Zero Group's headquarters in Fitchburg, Wisconsin, just ...

Showing results 21-40

Full Time Data Scientist Risk information

See Madison, WI salary details

$37.8K

$123.7K

$198K

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

As of Aug 14, 2026, the average yearly pay for full time data scientist risk in Madison, WI is $123,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,000.00 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.

Is a full time data scientist risk a risky job?

A full-time data scientist risk role involves analyzing data to identify potential threats and inform decision-making, which can be high-pressure but is generally not considered physically risky. The job often requires strong analytical skills, proficiency with tools like Python or R, and the ability to handle sensitive information, but it typically involves office or remote work environments with standard working hours. Overall, it is not inherently risky compared to physically demanding or hazardous occupations.

What are the most commonly searched types of Data Scientist Risk jobs in Madison, WI?

The most popular types of Data Scientist Risk jobs in Madison, WI are:

Full-time

Medical, Dental, Vision, Retirement

Posted 27 days ago


CliftonLarsonAllen rating

6.7

Company rating: 6.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

20th of 22 rated bookkeepers and accountants


Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is growing and seeking to hire an experienced Senior Data Platform Architect to join our talented Information Technology team. The position offers growth, flexibility and a collaborative work environment.

This role is responsible for guiding platform architecture and engineering practices across one or more platform domains (e.g., cloud foundation, container platforms, integration, data platforms, developer experience). This role leads a small team of platform architects, sets technical direction, establishes enterprise platform standards, and partners with Cloud Architecture, DevOps, and engineering leaders to define platform strategies, automation frameworks, and CI/CD deployment patterns that enable secure, scalable, and reliable software delivery across the organization

How you'll create opportunities in this Senior Data Platform Architect role:

Platform Architecture & Strategy
  • Define and evolve platform reference architectures, standards, guardrails, and deployment patterns that enable engineering teams to deliver software safely, consistently, and efficiently.
  • Establish target-state platform roadmaps aligned to business strategy, cloud strategy, security requirements, and technical debt reduction.
  • Partner with Cloud Architecture leaders to align platform capabilities, cloud services, and infrastructure standards with enterprise architecture objectives.
  • Evaluate technology options and make architecture recommendations balancing cost, risk, scalability, maintainability, and operational effectiveness.
Engineering Leadership & Delivery
  • Lead architecture and design reviews for complex platform initiatives and provide technical leadership across multiple engineering teams.
  • Define enterprise CI/CD architecture standards, deployment patterns, automation frameworks, and software delivery guardrails.
  • Partner with DevOps leaders to establish and continuously improve build, release, deployment, and environment management practices across the technology organization.
  • Ensure platform solutions meet non-functional requirements including availability, performance, resilience, security, compliance, and operability.
  • Drive adoption of platform capabilities through reference implementations, reusable patterns, technical guidance, and governance.
Leadership
  • Provide day-to-day leadership through coaching, mentoring, development, and performance management.
  • Support hiring, onboarding, workforce planning, and technical skill development.
Governance, Risk & Reliability
  • Promote secure-by-design and compliance-by-default architectural patterns.
  • Establish governance processes that ensure platform solutions adhere to architectural standards, operational requirements, and risk management practices.
  • Own or co-own platform reliability practices, including SLOs, SLIs, incident reviews, root-cause analysis, and continuous reliability improvements.
  • Define platform lifecycle management, including versioning, deprecation strategies, change management, and adoption planning.
Stakeholder Partnership & Communication
  • Translate complex technical topics into clear decisions and tradeoffs for technical and non-technical stakeholders.
  • Partner with Cloud Architecture, DevOps, Security, Infrastructure, Network, Data, and Application teams to ensure end-to-end solution integrity and alignment.
  • Create and maintain architecture artifacts including reference architectures, diagrams, ADRs, deployment standards, and decision logs.

Experience

6 years relevant experience required.

  • Experience in platform engineering, cloud architecture, SRE, or infrastructure engineering preferred.
  • Supervisory experience preferred.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in Information Management, Computer Science, or a related field preferred.

Technical Competencies

  • Expert knowledge of enterprise platform architecture, platform engineering principles, and large-scale technology ecosystems.
  • Advanced knowledge of cloud architecture and cloud-native technologies across Azure, AWS, and/or Google Cloud Platform environments.
  • Expertise establishing platform standards, governance frameworks, reference architectures, and technology roadmaps.
  • Experience defining enterprise CI/CD strategies, deployment patterns, release automation frameworks, and DevOps operating models.
  • Advanced understanding of Infrastructure as Code (IaC), platform automation, and environment provisioning technologies.
  • Deep knowledge of Site Reliability Engineering (SRE), observability, monitoring, logging, performance engineering, and operational excellence practices.
  • Advanced understanding of security architecture, identity and access management, secrets management, vulnerability management, and secure software delivery practices.
  • Experience leading architecture reviews and governing technology decisions across multiple products, platforms, or teams.
  • Expertise communicating architectural vision and technical strategy to executive, business, and technical stakeholders.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.



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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012