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Cybersecurity Data Scientist Jobs in Riverside, CA

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Forensic Computer Analyst

Anaheim, CA · On-site +1

$78K - $144K/yr

Examines and analyzes evidence and interprets scientific observations and data to render ... Analyzes systems to assist with network intrusion and cybersecurity investigations to determine the ...

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All JobsCybersecurity Data Scientist JobsCybersecurity Data Scientist Jobs in Riverside, CA

Cybersecurity Data Scientist information

See Riverside, CA salary details

$48K

$172.2K

$254K

How much do cybersecurity data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for cybersecurity data scientist in Riverside, CA is $172,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 per year, depending on experience, location, and employer.

How do cybersecurity data scientists typically collaborate with IT and security teams to address emerging threats?

Cybersecurity Data Scientists work closely with IT and security teams to identify vulnerabilities, analyze security logs, and develop machine learning models that detect anomalies. They often participate in cross-functional meetings to translate complex data insights into actionable recommendations for incident response. Regular collaboration is key, as these professionals must ensure their algorithms align with real-world security protocols and integrate seamlessly with existing systems. This teamwork enhances both proactive threat detection and rapid response to security incidents.

What is a cybersecurity data scientist?

A Cybersecurity Data Scientist is a professional who applies data science techniques to identify, analyze, and mitigate cyber threats. They use large datasets, machine learning, and statistical analysis to detect patterns of malicious activity and develop models to predict and prevent cyber attacks. This role bridges the gap between cybersecurity and data analytics, helping organizations strengthen their security posture by turning data into actionable insights.

What is the difference between Cybersecurity Data Scientist vs Cybersecurity Analyst?

AspectCybersecurity Data ScientistCybersecurity Analyst
Required CredentialsBachelor's/Master's in Data Science, Cybersecurity, or related fields; certifications like CISSP, CEHBachelor's in Cybersecurity, Information Technology, or related; certifications like CompTIA Security+, CISSP
Work EnvironmentData-driven roles, analyzing large datasets, developing modelsMonitoring security systems, incident response, threat analysis
Employer & Industry UsageTech companies, finance, healthcare, governmentAny organization with cybersecurity needs, including government and private sectors

While both roles focus on cybersecurity, a Cybersecurity Data Scientist specializes in analyzing data to identify patterns and develop predictive models, whereas a Cybersecurity Analyst primarily monitors security systems and responds to threats. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in focus and skill set.

What are the key skills and qualifications needed to thrive as a cybersecurity data scientist?

To thrive as a Cybersecurity Data Scientist, you need a strong background in computer science, statistics, and cybersecurity principles, typically supported by a relevant degree and experience in data analysis. Familiarity with tools like Python, R, machine learning frameworks, and security information and event management (SIEM) systems is essential, as well as certifications such as CISSP or CompTIA Security+. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex threats and collaborate with cross-functional teams. These skills are critical for identifying security vulnerabilities and developing data-driven solutions to protect organizations from evolving cyber threats.
What are popular job titles related to Cybersecurity Data Scientist jobs in Riverside, CA? For Cybersecurity Data Scientist jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Cybersecurity Data Scientist jobs in Riverside, CA look for? The top searched job categories for Cybersecurity Data Scientist jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Cybersecurity Data Scientist jobs? Cities near Riverside, CA with the most Cybersecurity Data Scientist job openings:
Cybersecurity Data Scientist jobs near you

Sr. Director, Enterprise Artificial Intelligence

Staar Surgical Company

Lake Forest, CA

Full-time

Posted 6 days ago

Job description

MAIN JOB RESPONSIBILITIES / COMPETENCIES
The Director, Enterprise Artificial Intelligence is responsible for leading the Company's enterprise Artificial Intelligence (AI) strategy and driving business transformation through the adoption of AI-enabled capabilities across the organization. This role partners closely with Executive Leadership, Manufacturing, Supply Chain, Engineering, Quality Assurance, Regulatory Affairs, Commercial Operations, Finance, Human Resources, Cybersecurity, Infrastructure, and Information Technology to identify, prioritize, and implement Artificial Intelligence solutions that improve operational efficiency, decision making, customer experience, innovation, and long-term competitive advantage.
This position provides strategic leadership for enterprise AI governance, Responsible AI, Generative AI, Agentic AI, Machine Learning, Intelligent Automation, and enterprise knowledge management while ensuring AI initiatives deliver measurable business value, align with corporate objectives, and support secure, scalable, and sustainable business transformation.
1.Lead and execute the Company's enterprise Artificial Intelligence strategy aligned with corporate objectives, digital transformation initiatives, and measurable business outcomes.
2.Establish and operationalize an Enterprise AI Center of Excellence (AI CoE) responsible for governance, standards, reusable AI capabilities, and enterprise adoption.
3.Drive enterprise business transformation through the application of Artificial Intelligence, Generative AI, Agentic AI, Machine Learning, Predictive Analytics, and Intelligent Automation.
4.Partner with executive leadership and business stakeholders to identify and prioritize AI initiatives that improve operational efficiency, product quality, customer experience, revenue growth, and employee productivity.
5.Develop enterprise AI roadmaps, investment strategies, business cases, and value realization plans.
6.Establish Responsible AI governance, AI policies, model lifecycle management, and AI risk management practices.
7.Lead implementation of RAG, semantic search, vector databases, AI assistants, and enterprise knowledge management.
8.Integrate AI with Oracle Fusion ERP, OCI, OIC, Salesforce, MES, PLM, enterprise data platforms, and cloud-native applications.
9.Establish KPIs and executive dashboards measuring AI adoption and business value.
10.Lead organizational change management and enterprise AI adoption.
11.Recruit and mentor a team of AI/Business Engineers, Data Engineer/architects and AI Product Owner.
12.Evaluate emerging AI technologies and strategic technology partnerships.
13.Foster innovation, continuous improvement, and responsible AI adoption.
14.Other duties as assigned.

REQUIREMENTS

EDUCATION & TRAINING
Bachelor's degree in computer science, Artificial Intelligence, Data Science, Engineering, Information Technology, Business Administration, or related discipline required or equivalent combination of education/experience.
Advanced degree preferred.
Professional certifications in AI, Cloud Computing, Enterprise Architecture, Cybersecurity, Project Management, or Data Analytics are highly desirable.

EXPERIENCE
12+ years of progressive leadership experience in enterprise technology, digital transformation, Artificial Intelligence, data analytics, enterprise architecture, software engineering, or related disciplines.
3+ years leading enterprise digital AI transformation organizations.
Demonstrated success developing enterprise AI strategies delivering measurable business transformation.
Experience with Generative AI, LLMs, Agentic AI, RAG, Machine Learning, Predictive Analytics, and Intelligent Automation.
Experience in integrating AI with ERP, CRM, Supply Chain, Manufacturing, Finance, HR, and enterprise platforms.
Experience presenting AI strategies and business outcomes to executive leadership and Boards.
Enterprise AI governance, organizational change management, and global business transformation.
FDA-regulated medical devices, biotechnology, pharmaceutical, life sciences, or other regulated industries preferred.

SKILLS
Strong knowledge of enterprise Artificial Intelligence strategy, governance, operating models, enterprise architecture, and business transformation methodologies, including the development of AI roadmaps, investment strategies, Centers of Excellence, and enterprise adoption frameworks.
Deep understanding of Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, AI orchestration frameworks, semantic search, vector databases, AI assistants, autonomous agents, and intelligent automation technologies.
Strong understanding of Machine Learning, Predictive Analytics, Natural Language Processing (NLP), Computer Vision, AI model lifecycle management, model evaluation, MLOps, LLMOps, and enterprise AI platform operations.
Strong knowledge of enterprise cloud platforms including Oracle Cloud Infrastructure (OCI), Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), cloud-native architectures, APIs, microservices, enterprise integration, event-driven architectures, and hybrid cloud environments.
Deep understanding of enterprise data architecture, data governance, master data management, metadata management, data quality, knowledge management, vector storage, and enterprise information management principles supporting AI-enabled decision making.
Strong understanding of Responsible AI principles, AI governance, cybersecurity, privacy, regulatory compliance, intellectual property protection, model transparency, explainability, AI ethics, enterprise risk management, and secure AI deployment practices.
Demonstrated ability to align Artificial Intelligence investments with corporate strategy by developing business cases, value realization frameworks, key performance indicators (KPIs), executive dashboards, and measurable financial and operational outcomes.
Ability to partner effectively with Executive Leadership, Information Technology, Manufacturing, Engineering, Supply Chain, Quality Assurance, Regulatory Affairs, Finance, Human Resources, Cybersecurity, Legal, and external technology partners to deliver enterprise-wide AI capabilities.
Excellent analytical, strategic planning, organizational, communication, executive presentation, negotiation, financial management, vendor management, stakeholder engagement, and organizational change management skills.
Demonstrated leadership building, mentoring, and scaling high-performing multidisciplinary teams consisting of AI Engineers, Data Scientists, Machine Learning Engineers, AI Solution Architects, Enterprise Architects, Product Managers, and business technology professionals.
Proven ability to lead enterprise modernization initiatives, drive innovation, establish AI governance, manage organizational change, and deliver measurable business transformation while maintaining secure, scalable, and responsible AI practices.

Pay range: $200K - $300K - Final compensation/salary will depend on experience.

STAAR Surgical is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran or disability status, or any other characteristic protected by law. #USA

Employment Type: Full time

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