RESUME AND JOB
Kaiser Permanente
Kaiser Permanente is expanding our Cyber Risk Defense program and seeking a highly skilled individual which can facilitate department missions in the areas of data science and python development with deep expertise in the Splunk Enterprise platform. This unique role focuses on supporting the mission of Cyber Security and is a technical expert in developing advanced machine learning solutions to enhance cyber threat, privacy, and compliance across clinical systems. As the position requires significant individual contributions, the successful candidate will present with qualifications commensurate with the expert-level position, demonstrate knowledge of clinical systems/workflows, and possess hands-on experience building and maintaining anomaly detection models. Experience with machine-learning frameworks/algorithms like Random Forest, XGBoost, and creating solutions on Unix based systems with Python is necessary for success. Enabling secure healthcare delivery to tens of millions of people is mission-critical, and this position will create and manage enterprise-class, unsupervised machine learned cyber threat and privacy use cases on an enterprise-class Splunk platform.
This senior level employee is primarily responsible for overseeing the maintenance and protection of integrity and reliability of the security of data, systems and networks.
90,000 - 150,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
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© 2026 Pointers. All rights reserved.

Kaiser Permanente
Kaiser Permanente is expanding our Cyber Risk Defense program and seeking a highly skilled individual which can facilitate department missions in the areas of data science and python development with deep expertise in the Splunk Enterprise platform. This unique role focuses on supporting the mission of Cyber Security and is a technical expert in developing advanced machine learning solutions to enhance cyber threat, privacy, and compliance across clinical systems. As the position requires significant individual contributions, the successful candidate will present with qualifications commensurate with the expert-level position, demonstrate knowledge of clinical systems/workflows, and possess hands-on experience building and maintaining anomaly detection models. Experience with machine-learning frameworks/algorithms like Random Forest, XGBoost, and creating solutions on Unix based systems with Python is necessary for success. Enabling secure healthcare delivery to tens of millions of people is mission-critical, and this position will create and manage enterprise-class, unsupervised machine learned cyber threat and privacy use cases on an enterprise-class Splunk platform.
This senior level employee is primarily responsible for overseeing the maintenance and protection of integrity and reliability of the security of data, systems and networks.
90,000 - 150,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Get personalized recommendations to optimize your resume specifically for Cyber Risk Defense Consultant V - Splunk Privacy Developer. Takes only 15 seconds!
Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.
Answer 10 quick questions to check your fit for Cyber Risk Defense Consultant V - Splunk Privacy Developer @ Kaiser Permanente.

No related jobs found at the moment.

© 2026 Pointers. All rights reserved.