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Explainable Ai Jobs in Iowa (NOW HIRING)

Munich Re

Sr. Solution Architect

Davenport, IA · On-site

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions . * Establish architectural patterns for AI model deployment, monitoring ...

Munich Re

Sr. Solution Architect

Cedar Rapids, IA · On-site

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions . * Establish architectural patterns for AI model deployment, monitoring ...

Munich Re

Sr. Solution Architect

Des Moines, IA · On-site

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions . * Establish architectural patterns for AI model deployment, monitoring ...

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Explainable Ai information

What is Explainable AI?

Explainable AI (XAI) refers to methods and techniques in artificial intelligence that make the results of AI models understandable and interpretable by humans. XAI aims to provide transparency into how AI systems make decisions, helping users trust and effectively manage AI applications. This is especially important in fields like healthcare, finance, and law, where understanding the reasoning behind AI-driven outcomes can be crucial for accountability and compliance. By making AI more transparent, XAI also helps identify and address biases or errors in AI systems.

What are the key skills and qualifications needed to thrive as an Explainable AI specialist?

To thrive as an Explainable AI specialist, you need a strong background in machine learning, data science, and statistics, typically with an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and libraries like LIME or SHAP, as well as experience in model interpretability tools, is essential. Strong analytical thinking, effective communication, and the ability to translate complex technical concepts for non-technical stakeholders are crucial soft skills. These capabilities ensure that AI models are transparent, trustworthy, and can be responsibly integrated into decision-making processes.

What are some of the typical challenges faced when working in Explainable AI and how do professionals address them?

Professionals in Explainable AI often encounter challenges such as balancing model accuracy with interpretability, translating complex model outputs into understandable insights for non-technical stakeholders, and ensuring transparency without compromising sensitive data. Addressing these issues typically involves using specialized tools and frameworks for visualization, collaborating closely with data scientists, domain experts, and business teams, and staying updated on the latest research in model interpretability. Continuous learning and open communication are key to overcoming these challenges and delivering AI solutions that are both effective and trustworthy.

What is the difference between Explainable Ai vs Data Scientist?

AspectExplainable AiData Scientist
CredentialsTypically requires knowledge of AI, machine learning, and data analysis; certifications like AI or ML courses are commonRequires degrees in computer science, statistics, or related fields; certifications in data analysis or machine learning are beneficial
Work EnvironmentWorks within AI development teams, focusing on model transparency and interpretabilityWorks across data analysis, model building, and business insights, often in research or corporate settings
Industry UsageUsed in AI development, healthcare, finance, and any field requiring transparent AI modelsApplied in tech, finance, healthcare, and research for data-driven decision making

Explainable Ai focuses on making AI models transparent and understandable, ensuring trust and compliance. Data Scientists develop and analyze models, often working with complex data. While both roles involve AI and data, Explainable Ai specialists emphasize interpretability, whereas Data Scientists focus on model creation and insights.

What are popular job titles related to Explainable Ai jobs in Iowa?

For Explainable Ai jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Explainable Ai jobs in Iowa look for?

The top searched job categories for Explainable Ai jobs in Iowa are:

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Cities in Iowa with the most Explainable Ai job openings:

Explainable Ai jobs near you

Principal Data Scientist

FBL Financial Group

West Des Moines, IA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Principal Data Scientist
Farm Bureau Financial Services is seeking an experienced Principal Data Scientist to provide technical leadership across the full analytics lifecycle, from problem definition and model development through production deployment, monitoring, and business adoption. You'll build scalable, explainable predictive modeling, machine learning, and AI solutions supporting Property/Casualty pricing, underwriting, claims, product, client/member, distribution, and portfolio decisions.
Who We Are:
With Farm Bureau Financial Services, our client/members can feel confident knowing their family, home, cars, and other property are protected. Integrity, teamwork, passion, service, leadership, and accountability guide every decision we make. We're proud of our more than 80-year commitment to protecting livelihoods and futures while creating an environment where employees thrive.
What You'll Do:
  • Lead development, deployment, and monitoring of predictive models, machine learning, and AI solutions.
  • Apply advanced statistical and machine learning techniques, including GLMs, GAMs, gradient boosting, ensembles, and explainable AI.
  • Build production-ready Python and SQL solutions, APIs, scoring processes, and analytical tools.
  • Advance MLOps practices, including testing, CI/CD, model governance, monitoring, and lifecycle management.
  • Drive responsible adoption of generative AI, NLP, and intelligent automation.
  • Establish standards for model development, validation, documentation, and regulatory compliance.
  • Partner across business and technology teams to deliver measurable business value.
  • Mentor team members and provide technical leadership for Predictive Analytics.

What It Takes to Join Our Team:
  • 8+ years of experience developing predictive models, machine learning, AI solutions, or production analytics systems.
  • Bachelor's degree in a quantitative field; advanced degree preferred.
  • Strong Python and SQL skills with experience building production-quality analytical solutions.
  • Expertise in statistical modeling, machine learning, validation, calibration, and model explainability.
  • Experience with APIs, model services, and production scoring processes.
  • Knowledge of software engineering and MLOps practices, including CI/CD.
  • Experience with Databricks, Snowflake, Microsoft Fabric, or similar cloud platforms preferred.
  • Property/Casualty insurance experience preferred.
  • Strong communication, leadership, and mentoring skills.

What We Offer You:
When you join our team, you get more than a great paycheck. We offer career development opportunities, an enhanced 401K with a match, low-cost health, dental and vision benefits, life and disability insurance, and paid time off. Our West Des Moines campus also offers an onsite wellness facility, daycare center, cafeteria, and hybrid work consideration for many positions. Farm Bureau....where the grass really IS greener!
Work Authorization/Sponsorship:
Applicants must be currently authorized to work in the United States on a full-time basis. We are unable to sponsor or assume sponsorship of an employment visa or work authorization for this role, including OPT status.

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