Data Scientist Research, Cloud Security

Company: Google Inc.
Location: San Francisco
Posted on: April 1, 2025

Job Description:

corporate_fare Google place San Francisco, CA, USA ; Sunnyvale, CA, USAApplyinfo_outlineinfo_outline X Info Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Sunnyvale, CA, USA.Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of 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:
  • 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
  • 3 years of experience developing and deploying machine learning and AI models in production settings.
  • Experience applying a variety of unsupervised, semi-supervised, and supervised machine learning techniques, and the ability to turn big data into actionable intelligence.About the jobThe Google Cloud Security Data Science Research team develops innovative, data-driven solutions to today's most challenging cybersecurity problems. By leveraging data derived from Google, Mandiant, and VirusTotal's unparalleled view of the threat landscape, the team provides solutions with significant impact for our customers and the broader cybersecurity industry.As a Data Scientist, you will help us solve challenging cybersecurity problems and protect billions of customers by applying your expert knowledge of machine learning and statistics. You will use your previous experience in applying machine learning and statistical techniques to cybersecurity problems, building models and analytic products that have been deployed to customers, and work with massive datasets.In this role, you will partner with Google and Mandiant 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 handles a wide range of cybersecurity challenges from threat intelligence scoring to dark web threat detection to automated security operations with generative AI. 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 $141,000-$202,000 + 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
    • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
    • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
    • Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
    • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.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.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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Keywords: Google Inc., San Francisco , Data Scientist Research, Cloud Security, Other , San Francisco, California