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Cybersecurity Data Scientist Jobs in California (NOW HIRING)

OpenAI

Data Scientist, Preparedness

San Francisco, CA · On-site

Preferred : • Cybersecurity data science experience (strong preference), including exposure to ... threat modeling, adversarial dynamics, abuse patterns, or security telemetry. • Trust & Safety ...

OpenAI

Data Scientist, Preparedness

San Francisco, CA · On-site

$347K - $400K/yr

Cybersecurity data science experience (strong preference), including exposure to threat modeling ... adversarial dynamics, abuse patterns, or security telemetry. * Experience with classifier ...

TENEX.AI

Senior Data Scientist

San Jose, CA · On-site

... cybersecurity through advanced threat detection and rapid response. They are seeking a Senior Data ... Scientist to design, build, and deploy machine learning models that improve their AI-driven ...

Tenex.AI Inc

Senior Data Scientist

San Jose, CA · On-site

Our team is composed of industry experts with deep experience in cybersecurity, automation and AI ... Role Overview As a Senior Data Scientist, you will be responsible for the end-to-end lifecycle of ...

Noblis

Senior Data Scientist

San Diego, CA · On-site

The Senior Data Scientist will provide data analytics for the afloat network system design ... and cybersecurity support. Responsibilities : • Provide data analytics for the afloat network ...

VSolvit, LLC.

DATA SCIENTIST II

Norco, CA · On-site

$115 - $130/hr

DATA SCIENTIST II Full Time VS CA NORCO, Norco, CA, US 7 days ago Requisition ID: 1577 Salary Range ... cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI ...

Latica AI

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and enjoyable to work with. We invest in ...

Latica

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and enjoyable to work with. We invest in ...

Latica

Senior Data Scientist

Palo Alto, CA · On-site

$120 - $180/hr

Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and enjoyable to work with. We invest in ...

Latica

Senior Data Scientist

Palo Alto, CA

$160K - $190K/yr

Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and enjoyable to work with. We invest in ...

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Data Scientist II On Site: Norco, CA Job Summary We are seeking a talented and driven mid-level ... cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI ...

LMI

Data Scientist - Clearance Required

Fort Bragg, CA · On-site

The Data Scientist will analyze complex historical and operational datasets, convert data into ... Collaborate with AI/ML engineers, data engineers, software developers, cybersecurity personnel, and ...

LMI

Data Scientist - Clearance Required

Fort Bragg, CA · On-site

The Data Scientist will analyze complex historical and operational datasets, convert data into ... Collaborate with AI/ML engineers, data engineers, software developers, cybersecurity personnel, and ...

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Showing results 1-20

All JobsCybersecurity Data Scientist JobsCybersecurity Data Scientist Jobs in California

Cybersecurity Data Scientist information

See California salary details

$45.4K

$162.9K

$240.3K

How much do cybersecurity data scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for cybersecurity data scientist in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 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 California?

For Cybersecurity Data Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Cybersecurity Data Scientist jobs in California look for?

The top searched job categories for Cybersecurity Data Scientist jobs in California are:

What cities in California are hiring for Cybersecurity Data Scientist jobs?

Cities in California with the most Cybersecurity Data Scientist job openings:

Cybersecurity Data Scientist jobs near you
Infographic showing various Cybersecurity Data Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Data Scientist, Preparedness

OpenAI

San Francisco, CA • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary:
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They are seeking a Data Scientist to help build, evaluate, and continuously improve mitigations that prevent extreme harms from AI systems. This role involves monitoring and predicting AI capabilities, diagnosing issues, and communicating results to stakeholders.
Responsibilities:
• Evaluate and improve mitigation systems, including classifiers and detection pipelines across domains (e.g., biosecurity, cybersecurity, and emerging risk areas).
• Diagnose false positives and false negatives with deep error analysis, root cause investigation, and clear recommendations for mitigation adjustments.
• Build monitoring and measurement frameworks to track mitigation effectiveness over time and across user segments and use cases.
• Identify trends in over-blocking vs. under-blocking, quantify customer impact, and propose prioritized interventions.
• Develop insights from customer feedback, complaints, and usage patterns to detect shifts in adversarial behavior and system failure modes.
• Expand risk monitoring into new areas, including cybersecurity threats and model loss-of-control or sabotage scenarios, in partnership with domain experts.
• Communicate results to technical and executive stakeholders with crisp narratives, decision-ready metrics, and clear tradeoffs.
Qualifications:
Required:
• Significant experience in data science or applied analytics in high-stakes domains (e.g., security, trust & safety, abuse prevention, fraud, platform integrity, or reliability).
• Strong foundations in experimentation, causal thinking, and/or observational inference; ability to design robust measurement under imperfect data.
• Fluency in SQL and Python (or equivalent) for analysis, modeling, and building monitoring workflows.
• Experience building metrics, dashboards, and operational monitoring that meaningfully changes outcomes (not just reporting).
• Track record of driving cross-functional impact with engineering, product, and research partners.
• Experience with classifier evaluation, calibration, thresholding, and error analysis at scale. Familiarity with detection systems in adversarial settings (e.g., evasion, distribution shift, feedback loops).
• Genuine interest in AI safety, alignment, and catastrophic risk prevention.
Preferred:
• Cybersecurity data science experience (strong preference), including exposure to threat modeling, adversarial dynamics, abuse patterns, or security telemetry.
• Trust & Safety experience is helpful, but not required.
Company:
OpenAI is an AI research and deployment company that develops advanced AI models, including ChatGPT. It is a sub-organization of OpenAI Foundation. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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