Description SAIC is looking for a Cyber Data Scientist/Analyst Senior to support the Enterprise Security Operations Center (ESOC) at the National Nuclear Security Administration (NNSA) to monitor, detect, and respond to safeguard the Nuclear Security Enterprise (NSE) ensuring the integrity, confidentiality, and availability identifying, detecting, preventing, and coordinating the response and recovery efforts in response to cyber threats to protect the NNSA's critical production environments and information and operational technology systems. Work will be located at the customer facility in Las Vegas, NV, or Washington, DC and will require a Top Secret or DOEQ clearance to start. This opportunity is contingent upon award. Responsibilities and Duties: Deep understanding of cybersecurity principles, data science techniques, and machine learning. Ability to articulate technical concepts clearly to both technical and non-technical audiences. Strong analytical and problem-solving skills to handle security incidents and vulnerabilities. Ability to work effectively with other IT teams, stakeholders, and external partners. Qualifications Requirements and Skills Bachelor's degree in computer science, Information Security, Data Science, or a related field is required; OR Master's degree in Cybersecurity, Data Science, or a related field. A minimum of 7 years of experience in cybersecurity, data science is required. Proficiency in data analysis, machine learning, and cybersecurity principles. Experience in leading a team, managing projects, and providing technical guidance to junior team members is crucial. Strong analytical and problem-solving skills to handle security incidents and vulnerabilities. Ability to work effectively with other IT teams, stakeholders, and external partners. One of the following certifications is required: CISSP, CLDS, CADSAI-CYBER. A DOE Q or Top Secret level security clearance is required to start. Must be able to maintain a DOE Q level security clearance. Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. #J-18808-Ljbffr SAIC
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