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Credit Risk Data Science Jobs in Idaho (NOW HIRING)

CRI Advantage

Cyber Analyst- Level 3

Idaho Falls, ID · On-site

$80 - $90/hr

... risk-based alerting within Splunk Enterprise Security (ES). • Leverage the Splunk App for Data Science and Deep Learning (DSDL) to operationalize machine learning models for anomaly detection and ...

Simplot

Senior IT Internal Audit Manager- Boise, ID

Boise, ID · On-site

$85K - $117K/yr

Your role involves collaborating with stakeholders across Technology, Cybersecurity, Data Science, and the broader business to develop and implement a risk-based IT audit plan aligned with company ...

Simplot

Senior IT Internal Audit Manager- Boise, ID

Boise, ID · On-site

$85K - $117K/yr

Your role involves collaborating with stakeholders across Technology, Cybersecurity, Data Science, and the broader business to develop and implement a risk-based IT audit plan aligned with company ...

Micron

US Expansion AI Program Manager

Boise, ID · On-site

$107K - $193K/yr

... risk management, budgeting, and stakeholder communication Preferred Qualifications: * Master's degree in Engineering, Construction Management, Business Administration, Data Science, or related field

Micron Technology

US Expansion AI Program Manager

Boise, ID · On-site

$107K - $193K/yr

... risk management, budgeting, and stakeholder communication Preferred Qualifications: * Master's degree in Engineering, Construction Management, Business Administration, Data Science, or related field

Micron Technology, Inc

AI/ML Engineer/Architect

Boise, ID · On-site

$140 - $210/hr

... transparency, and risk management. * Partner with firmware, validation, product engineering ... Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science ...

Micron

AI/ML Engineer/Architect

Boise, ID · On-site

... transparency, and risk management. * Partner with firmware, validation, product engineering ... Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science ...

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Credit Risk Data Science information

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What are popular job titles related to Credit Risk Data Science jobs in Idaho?

For Credit Risk Data Science jobs in Idaho, the most frequently searched job titles are:

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The top searched job categories for Credit Risk Data Science jobs in Idaho are:

What cities in Idaho are hiring for Credit Risk Data Science jobs?

Cities in Idaho with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you

Cyber Analyst- Level 3

CRI Advantage

Idaho Falls, ID • On-site

$80 - $90/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Description
In this role, the selected candidate will design, build, and tune detections that identify malicious activity across our environment, working at the intersection of security analysis, data engineering, and machine learning.
We are looking for a candidate who lives and breathes Splunk and gets excited about turning raw telemetry into high-fidelity alerts.
Responsibilities
• Design, develop, and maintain detection content using Splunk Search Processing Language (SPL) to identify threats across diverse data sources.
• Build and tune correlation searches, notable events, and risk-based alerting within Splunk Enterprise Security (ES).
• Leverage the Splunk App for Data Science and Deep Learning (DSDL) to operationalize machine learning models for anomaly detection and advanced threat identification.
• Apply the Splunk App for Anomaly Detection and the Splunk AI Toolkit (AITK) to develop statistical and ML-driven detections that go beyond signature-based approaches.
• Map detection coverage to the MITRE ATT&CK framework and identify gaps in visibility.
• Collaborate with threat intelligence, incident response, and SOC teams to translate emerging threats into actionable detections.
• Reduce false positives and alert fatigue through continuous tuning and detection lifecycle management.
• Develop and maintain detection-as-code workflows, including version control, testing, and CI/CD for detection content.
• Create documentation, runbooks, and detection specifications to support downstream analysts.
Requirements
• Be willing to relocate to Idaho Falls, Idaho. (Relocation assistance may be available)
• Have a current "L" or "Q" clearance.
• Have the following required skillsets:
o Deep expertise in Splunk SPL, including advanced search commands, statistical functions, data models, and performance optimization.
o Hands-on experience with Splunk Enterprise Security, including correlation searches, risk-based alerting (RBA), notable events, and the ES framework.
o Working knowledge of the Splunk AI Toolkit (AITK) for building and applying ML-based detections.
o Experience with the Splunk App for Data Science and Deep Learning (DSDL), including custom model development and deployment.
o Strong understanding of the MITRE ATT&CK framework and detection engineering methodology.
o Familiarity with common attack techniques, log sources, and security data (EDR, network, cloud, identity, etc.).
Preferred Qualifications
• Experience with detection-as-code practices and tools (Git, CI/CD pipelines).
• Proficiency in Python for data processing and model development.
• Knowledge of SOAR platforms and detection automation.
• Relevant certifications (Splunk Certified Power User/Admin, Splunk Enterprise Security Certified Admin, GIAC, etc.).
• Prior experience in a SOC, threat hunting, or incident response role.

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