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Full Time Google Cybersecurity Certificate Jobs (NOW HIRING)

Lyra Health

Google Workspace & DLP Specialist

$95K - $131K/yr

Professional Google Workspace Administrator Certification preferred. * CLI Tools: Mastery of GAM ... The anticipated annual base salary range for this full-time position is $95,000 to $131,000. The ...

Astrion

Cybersecurity Lead

Farmington, NM

$107.60K - $145.40K/yr

Kirtland AFB, NM JOB STATUS: Full-time CLEARANCE: TS/SCI (SAP Eligibility) CERTIFICATION: CISSP, CEH, or Sec+ CE TRAVEL: As Needed Astrion has an exciting opportunity for a Cybersecurity Lead to ...

Tenex.AI Inc

Cybersecurity Analyst

Sarasota, FL · On-site

Google Chronicle), to enhance the detection, analysis, and response to security incidents. This ... Position Type: Full-Time (4 different shifts available to support a 24/7/365 SOC) Culture is one of ...

Crowley ISD

Director of Technology

Crowley, TX · On-site

$102.49K/yr

Education/Certification: Bachelor's degree (required) Proven experience leading and supervising an ... AD), backup/DR, cloud services (Microsoft 365/Google) Cybersecurity: firewalls, endpoint protection ...

InstantServe LLC

Cybersecurity Specialist

Boise, ID · On-site

Certifications: Relevant certifications such as CISSP, CISM, CISA, CompTIA Security+, CEH ... Experience securing cloud environments such as AWS, Azure, or Google Cloud, and using cloud-native ...

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How much do full time google cybersecurity certificate jobs pay per year?

As of May 28, 2026, the average yearly pay for full time google cybersecurity certificate in the United States is $132,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $150,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Google Cybersecurity Certificate vs Cybersecurity Analyst?

AspectFull Time Google Cybersecurity CertificateCybersecurity Analyst
CredentialsGoogle Cybersecurity Certificate, foundational knowledgeTypically requires a degree in cybersecurity, IT, or related field; certifications like CompTIA Security+ often preferred
Work EnvironmentOnline learning, entry-level roles, internships, or training programsCorporate or organizational security teams, often in office or remote settings
Industry UsageTraining and skill development for entry-level rolesActive monitoring, threat analysis, and security management in various industries

The Full Time Google Cybersecurity Certificate provides foundational cybersecurity skills through online training, ideal for beginners. In contrast, a Cybersecurity Analyst role involves applying those skills in real-world environments, often requiring additional experience or certifications. The certificate prepares individuals for entry-level positions, while analysts work actively to protect organizational assets.

More about Full Time Google Cybersecurity Certificate jobs
What cities are hiring for Full Time Google Cybersecurity Certificate jobs? Cities with the most Full Time Google Cybersecurity Certificate job openings:
What are the most commonly searched types of Google Cybersecurity Certificate jobs? The most popular types of Google Cybersecurity Certificate jobs are:
What states have the most Full Time Google Cybersecurity Certificate jobs? States with the most job openings for Full Time Google Cybersecurity Certificate jobs include:
What job categories do people searching Full Time Google Cybersecurity Certificate jobs look for? The top searched job categories for Full Time Google Cybersecurity Certificate jobs are:
Full Time Google Cybersecurity Certificate jobs near you
Infographic showing various Full Time Google Cybersecurity Certificate job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $132,962 per year, or $63.9 per hour.

Research Data Scientist, Cybersecurity, Google Cloud

Google

San Francisco, CA • On-site

Full-time

Posted 21 days ago

Google rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

37th of 184 rated software companies

Job description

info_outline
X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Reston, VA, USA.
Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:
  • 3 years of experience developing and deploying machine learning and AI models in production settings.
  • Experience at the intersection of security or fraud and ML.
  • Experience applying a variety of unsupervised, semi-supervised, and supervised machine learning techniques, and the ability to turn big data into actionable intelligence.
  • Experience building LLM-powered applications to automate the analysis and contextualization of complex data.
  • Experience with the challenges in applying machine learning in a non-stationary and adversarial environment.
  • Ability to evaluate, analyze, and improve machine learning models and LLM-driven systems.

About the job
The Google Cloud Gusto AI Data Science Research team develops innovative, data-driven solutions to today's most challenging cybersecurity problems. By leveraging data derived from Google's unparalleled view of the threat landscape, our cross-functional, applied research team experiments and delivers impactful findings for both our customers and the broader cybersecurity industry.
We are looking for a Research Data Scientist to help us solve challenging cybersecurity problems and protect billions of customers by applying their expert knowledge of machine learning, statistics, and Generative AI. In this role, you will partner with subject matter experts on the front lines defending against advanced threat actors, iteratively develop new capabilities, and work closely with our engineering team to deploy and maintain them. Our team works on a wide variety of cybersecurity challenges including agentic security operations, threat intelligence contextualization, security-tuning LLMs, dark web threat detection, and more. We encourage sharing impactful learnings through publications at academic conferences and talks at industry venues.
The US base salary range for this full-time position is $147,000-$211,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
  • Explore promising areas of future research at the intersection of cybersecurity and machine learning.
  • Drive the research and development of new models and analytic products to solve cybersecurity problems.
  • Develop models and analytics. Move from proof of concept to minimum viable product quickly and efficiently.
  • Work closely with other engineering teams to develop scalable data pipelines, deploy models/analytics, and enact telemetry-driven model improvements over time.
  • Communicate research results to stakeholders and the research community through documentation, white papers, peer-reviewed publications, and presentations.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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