Staff Research Data Scientist

Staff Research Data Scientist

share

Share Staff Research Data Scientist

• linkCopy link
• emailEmail a friend

corporate_fareGoogleplaceSan Francisco, CA, USA; Sunnyvale, CA, USA

bar_chartAdvanced

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Apply

share

Share Staff Research Data Scientist

• linkCopy link
• emailEmail a friend

info_outline

XApplicants 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; Sunnyvale, CA, USA.

Minimum qualifications:

• Masters degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• Experience with Machine Learning research and developing new methodologies or algorithms.
• Experience with Large Language Models (LLMs), Natural Language Processing (NLP), or Generative AI.
• Experience with Machine Learning algorithms and statistical modeling.
• Experience with cyber threat research.

Preferred qualifications:

• PhD in Computer Science, Data Science, Statistics, Electrical Engineering, or a related quantitative field.
• 7 years of experience designing, validating, and deploying machine learning models, statistical methods, or generative AI systems into production.
• 2 years of applied experience within cybersecurity, security operations, threat intelligence, fraud/abuse, or vulnerability research.
• Experience acting as a Technical Lead, workstream owner, or principal researcher directing technical projects end-to-end across cross-functional teams.
• Experience addressing distribution shifts, concept drift, or adversarial attacks in high-stakes or non-stationary environments.
• Experience in production-grade development using programming languages and modern deep learning ecosystems.

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 Googles 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.

As a Staff Research Data Scientist (Tech Lead) you will define the technical goal, drive applied research agendas, and lead the technical execution of machine learning, deep learning, and generative AI initiatives across Google SecOps, Google Threat Intelligence, and other key cybersecurity product areas in Google Cloud.

In this role, you will manage high-ambiguity, adversarial security problems at Google scale. You will act as the principal research driver and technical lead across initiatives such as agentic security operations, threat intelligence reasoning and contextualization, security-specialized LLMs/foundation models, and dark web threat detection. As a Tech Lead, you will bridge the gap between breakthrough AI research and enterprise-grade deployment: architecting novel research prototypes, steering data strategy, aligning roadmaps with cross-functional SWE and Product leaders, and mentoring junior researchers. You will represent Googles security research externally through high-impact publications, patents, and conference presentations, shaping how the broader AI Security industry defends against advanced threat actors.

A conversational AI tool that enables users to collaborate with generative AI and help augment their imagination, expand their curiosity, and enhance their productivity.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Define and drive the multi-quarter research strategy and technical roadmap at the nexus of machine learning for security, AI-powered security operations, and autonomous threat investigation and response.
• Serve as the Technical Lead (TL) for applied research workstreams, translating ambiguous threat challenges into structured, high-impact AI/ML modeling solutions with landed product impact.
• Architect state-of-the-art model architectures and agentic systems, balancing theoretical novelty with low-latency, resilient inference in adversarial environments.
• Architect end-to-end data acquisition and curation strategies across massive, heterogeneous security telemetry; establish benchmarks and evaluation pipelines for robust model assessment.
• Partner with Engineering (SWE) and Product Management (PM) leadership to establish shared architectural roadmaps, govern production ML deployments, and lead continuous post-deployment telemetry and feedback loops.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles 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 Googles 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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.