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Cybersecurity Data Scientist Jobs in California (NOW HIRING)

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

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

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 ...

... 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 ...

Senior Data Scientist

San Jose, CA · On-site

$150 - $210/hr

We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture ... Role Overview As a Senior Data Scientist, you will be responsible for the end-to-end lifecycle of ...

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 ...

Data Scientist

El Segundo, CA · On-site

$95K - $142K/yr

... cyber security, software architecture, software engineering, data science, Artificial Intelligence, process improvement, and software development to deliver responsive, resilient, high-performance ...

Data Scientist

El Segundo, CA · On-site

$95K - $142K/yr

... cyber security, software architecture, software engineering, data science, Artificial Intelligence, process improvement, and software development to deliver responsive, resilient, high-performance ...

Data Scientist

El Segundo, CA · On-site

$95 - $143/hr

... cyber security, software architecture, software engineering, data science, Artificial Intelligence, process improvement, and software development to deliver responsive, resilient, high-performance ...

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 ...

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 ...

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 ...

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 ...

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Job Summary We are seeking a talented and driven mid-level Data Scientist to join our evolving and ... cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI ...

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 ...

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 ...

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

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 Sep 6, 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.

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 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.

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 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 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:

Infographic showing various Cybersecurity Data Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Data Scientist, Preparedness

OpenAI

Los Angeles, CA • On-site

$120 - $160/hr

Other

Posted 5 days ago


Key responsibilities

  • Evaluate and improve mitigation systems, including classifiers and detection pipelines across domains.

  • Diagnose false positives and false negatives with error analysis and root cause investigation, and recommend mitigation adjustments.

  • Build monitoring and measurement frameworks to track mitigation effectiveness over time and across user segments and use cases.


Job description

Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.

The mission of the Preparedness team is to:

Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards misuse risks whose impact could be catastrophic to our society

Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems

Preparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society.

About the Role

We’re hiring a Data Scientist to help build, evaluate, and continuously improve mitigations that prevent extreme harms from AI systems. This role is for an experienced, highly autonomous individual contributor who can take ambiguous problem statements, structure rigorous analyses, and translate findings into actionable product and policy changes.

This position goes beyond “running evals.” You’ll help create mitigation intelligence and monitoring systems that enable OpenAI to detect issues early, measure effectiveness over time, and reduce both over-blocking (unnecessary friction) and under-blocking (missed harm).

What You’ll Do

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.

You might thrive in this role if you are:

An autonomous operator: you can take a problem statement and independently structure the analysis end-to-end.

Strong at executive-ready communication: concise, clear, and outcome-oriented.

Skilled in turning analysis into productable changes: you’re comfortable influencing across functions to drive mitigation improvements.

Qualifications

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.

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

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).

Trust & Safety experience is helpful, but not required.

Genuine interest in AI safety, alignment, and catastrophic risk prevention.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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