Data Scientist, Marketing, Google Cloud_

Minimum qualifications:+ Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.+ Experience with A/B testing or other experimental design methodologies.+ Experience with statistical software (e.g., R, Python, MATLAB) and database languages (e.g., SQL).+ Experience leveraging data insights into storytelling for business stakeholders.Preferred qualifications:+ 2 years of experience with A/B testing or other experimental design methodologies.+ 2 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 with machine learning on large-scale computing systems like Hadoop, MapReduce, or similar environments.+ Proficiency in data visualization tools (e.g., Looker) and the ability to create clear and impactful presentations.Google Cloud provides organizations with leading infrastructure, platform capabilities, and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.As a Data Scientist, you will support analyses, experimentation, and machine learning projects for security offerings within Google Cloud Marketing.Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.The US base salary range for this full-time position is $108,000-$158,000 + bonus + equity + 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 share more 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.+ Build and refine machine learning models to assess potential customers.+ Analyze security product usage and market data to uncover insights.+ Collaborate with cross-functional teams on data science projects to optimize Sales and Marketing efforts.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also oogle.com/eeo/ and oogle.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: l/forms/aBt6Pu71i1kzpLHe2.