PaloAltoRecruiter Since 2001
the smart solution for Palo Alto jobs

Research Data Scientist, Cloud Security

Company: Google
Location: San Francisco
Posted on: May 24, 2025

Job Description:

corporate_fare Google place San Francisco, CA, USA; Sunnyvale, CA, USA
Mid
Experience driving progress, solving problems, and mentoring junior team members; deeper expertise and applied knowledge within relevant area.
Apply


  • link Copy link

    info_outline info_outline Note: By applying to this position, you will have the 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 in 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 in analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or a PhD.
      • 3 years of experience developing and deploying machine learning and AI models in production settings.
      • Experience applying various machine learning techniques (unsupervised, semi-supervised, supervised) and transforming big data into actionable insights.
      • Experience with security data.

        About the Job
        The Google Cloud Security Data Science Research team develops innovative, data-driven solutions to cybersecurity challenges. Leveraging data from Google, Mandiant, and VirusTotal, the team offers impactful solutions for customers and the cybersecurity industry.
        As a Data Scientist, you will solve cybersecurity problems and protect billions of users by applying machine learning and statistical expertise. You will build models and analytics products deployed to customers, working with large datasets.
        You will collaborate with Google and Mandiant experts, develop new capabilities, and work with Engineering to deploy and maintain solutions. The team tackles challenges like threat intelligence scoring, dark web threat detection, and automated security operations with generative AI. We promote sharing insights through academic publications and industry talks.
        The US base salary range for this full-time position is $141,000-$202,000 plus bonus, equity, and benefits. Salary is role, level, and location-dependent, with individual pay influenced by skills, experience, and education. Your recruiter can provide specific salary details during hiring.
        Responsibilities

        • Collaborate with stakeholders to identify and refine business or product questions, translating them into analysis, evaluation metrics, or models.
        • Design and evaluate models using custom or existing data infrastructure to solve defined problems.
        • Gather information on business goals, priorities, and data infrastructure.
        • Extract, compile, and validate data across sources using tools like SQL, R, Python, ensuring data quality for analysis.

          Google is committed to diversity and equal opportunity employment, fostering a culture of inclusion and belonging. We prohibit discrimination based on race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related conditions.
          English proficiency is required for all roles to facilitate global collaboration.
          Note: Google does not accept agency resumes. Resumes sent unsolicited will not be acknowledged or compensated.
          #J-18808-Ljbffr

Keywords: Google, Palo Alto , Research Data Scientist, Cloud Security, Other , San Francisco, California

Click here to apply!

Didn't find what you're looking for? Search again!

I'm looking for
in category
within


Log In or Create An Account

Get the latest California jobs by following @recnetCA on Twitter!

Palo Alto RSS job feeds