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Cybersecurity Analytics Specialist
2 months ago
Minimum qualifications:
Master's degree in a quantitative discipline such as Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related field, or equivalent practical experience. A minimum of 3 years of experience applying analytics to resolve product or business challenges, proficient in coding (e.g., Python, R, SQL), database querying, or statistical analysis, or possess a PhD degree.
Experience in the domains of cybersecurity or fraud detection is essential. Familiarity with Machine Learning frameworks (e.g., TensorFlow or PyTorch) is required.
Preferred qualifications:
A minimum of 5 years of experience leveraging analytics to address product or business challenges, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or possess a PhD degree.
About the role: The Google Cloud Security Data Science Research team is dedicated to creating innovative, data-centric solutions to tackle some of the most pressing cybersecurity challenges of our time.
Utilizing data from Google's unmatched perspective on the threat landscape, the team delivers solutions that have a substantial impact on our clients and the wider cybersecurity sector.
The US base salary range for this full-time position is $127,000-$187,000, in addition to bonuses, equity, and benefits. Our salary ranges are established based on role, level, and location.
The displayed range on each job posting represents the minimum and maximum target salaries for the position across all US locations.
Individual compensation within this range is influenced by work location and various factors, including job-related skills, experience, and relevant education or training.
Your recruiter can provide more details 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, excluding bonuses, equity, or benefits.
Learn more about benefits at Google.Responsibilities: Collaborate with stakeholders across projects and teams to identify and clarify business or product inquiries.
Provide insights to translate and refine business questions into actionable analyses, evaluation metrics, or mathematical models.
Utilize custom data infrastructure or existing data models as necessary, applying specialized knowledge. Design and assess models to mathematically articulate and resolve defined issues with limited precedents.
Collect information, business objectives, priorities, and organizational context surrounding the inquiries, as well as the existing and forthcoming data infrastructure.
Gather, extract, and compile data from various sources using relevant tools (e.g., SQL, R, Python). Format, restructure, and/or validate data to ensure quality, and review the dataset to confirm its readiness for analysis.
