Research Data Scientist, Cybersecurity, Google Cloud

Google LLC

Reston, VA

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Big Data, Cloud Computing, Cloud Storage, Computer Security, Conferences, Construction, Cross-Functional, Data Management, Data Science, Database Analysis, Documentation, Economics, English Language, Equal Employment Opportunity (EEO), Fonts, Genetics, Internet Security, Machine Learning, Marketing, Mathematics, Network Operations Center, Operations Management, Operations Research, Physics, Problem Solving Skills, Process Improvement, Product Management, Project/Program Management, Proof of Concept, Publications, Python Programming/Scripting Language, R Programming Language, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Research & Development (R&D), SQL (Structured Query Language), Scalable System Development, Scientific Research, Security Attacks, Software Engineering, Statistics, Stock Purchase Plans, Systems Administration/Management, Technical Leadership, Telemetry, Thought Leadership, White Papers, YouTube
LOCATION
Reston, VA
POSTED
4 days ago

Research Data Scientist, Cybersecurity, Google Cloud - Google Careers

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Research Data Scientist, Cybersecurity, Google Cloud

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corporate_fareGoogleplaceSan Francisco, CA, USA; Reston, VA, USA

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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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; Reston, VA, USA.

Minimum qualifications:

  • Master"s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.

  • 3 years of work 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:

  • 3 years of experience developing and deploying machine learning and AI models in production settings.
  • Experience at the intersection of security or fraud and ML.
  • Experience applying a variety of unsupervised, semi-supervised, and supervised machine learning techniques, and the ability to turn big data into actionable intelligence.
  • Experience building LLM-powered applications to automate the analysis and contextualization of complex data.
  • Experience with the challenges in applying machine learning in a non-stationary and adversarial environment.
  • Ability to evaluate, analyze, and improve machine learning models and LLM-driven systems.

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 Google"s 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.

We are looking for a Research Data Scientist to help us solve challenging cybersecurity problems and protect billions of customers by applying their expert knowledge of machine learning, statistics, and Generative AI. In this role, you will partner with 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 works on a wide variety of cybersecurity challenges including agentic security operations, threat intelligence contextualization, security-tuning LLMs, dark web threat detection, and more. We encourage sharing impactful learnings through publications at academic conferences and talks at industry venues.

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

US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Explore promising areas of future research at the intersection of cybersecurity and machine learning.

  • Drive the research and development of new models and analytic products to solve cybersecurity problems.

  • Develop models and analytics. Move from proof of concept to minimum viable product quickly and efficiently.

  • Work closely with other engineering teams to develop scalable data pipelines, deploy models/analytics, and enact telemetry-driven model improvements over time.

  • Communicate research results to stakeholders and the research community through documentation, white papers, peer-reviewed publications, and presentations.

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

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