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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Principal
Industry
Religious, Grantmaking, Civic, Professional, and Similar Organizations
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees