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Cybersecurity Analytics Specialist

2 months ago


Reston, Virginia, United States Google Full time

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 utilizing analytics to address 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 fields 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 applying analytics to resolve product or business issues, proficient in coding (e.g., Python, R, SQL), database querying, 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-driven solutions to tackle the most pressing cybersecurity challenges of today.

By harnessing data derived 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, plus bonus, equity, and benefits. Our salary ranges are determined by role, level, and location.

The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations.

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 provide more information 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 across various projects and team settings to identify and clarify business or product inquiries.

Provide insights to translate and refine business questions into actionable analysis, 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 challenges with limited precedent.

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 it is prepared for analysis.