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Google Senior Information Security Engineer Product Engineering Cloud 
Spain, Andalusia, Málaga 
312486326

Today
Info This role may also be located in our Playa Vista, CA campus.Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County 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: Chicago, IL, USA; Atlanta, GA, USA; New York, NY, USA; Los Angeles, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; San Francisco, CA, USA.

This role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County 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:.
Minimum qualifications:
  • Master's degree in Statistics, Mathematics, Bioinformatics, Economics, a quantitative field, or equivalent practical experience.
  • 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  • 2 years of experience in a data science field.
  • Experience with statistical software (e.g., R, Python, MATLAB) and database languages (e.g. SQL).

Preferred qualifications:
  • 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  • Experience delivering insights from ML to customers (problem scoping/definition, modeling, interpretation).
  • Experience using or deploying digital analytics and measurement solutions.
  • Proficiency with data extraction and modeling tools (SQL, Python), and an understanding of the statistical algorithms used in Marketing Analytics.
  • Proficiency in Computer Vision and NLP in the context of marketing analytics, and the ability to bring cutting-edge generative AI technologies to customer issues in marketing.