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Business Data Scientist
Business Data Scientist-September 2024
Boulder
Sep 9, 2025
ABOUT GOOGLE
Our mission is to organize the world’s information and make it universally accessible and useful.
10,000+ employees
Technology
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About Business Data Scientist

  The application window will be open until at least January 23, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.

  Minimum qualifications:

  Master's degree in Computer Science, Mathematics, Applied Statistics, Machine Learning, or equivalent practical experience.

  5 years of experience in a data science field.

  Experience with statistical software (e.g., R, Python, MATLAB) and database languages (i.e. SQL).

  Preferred qualifications:

  Demonstrated knowledge of SQL/MySQL, and Unix/Linux operating systems and commands.

  Ability to collaborate, build consensus, deliver, and drive technical decisions with various sized customer stakeholder groups.

  Ability to travel to meet with specific partner and client stakeholders.

  Technical leadership, project management, analytical problem-solving, and troubleshooting skills.

  At gTech’s Users and Products team (gUP), our mission is to help users get the most out of Google. We represent Google's users and many of our partners globally, sharing insights with the larger Google organization to enable exceptional customer and product experiences.

  gUP builds innovative solutions that take user experience and engagement with Google to the next level, supporting users across products, countries, cultures, incomes, and identities. We advocate for users through partnerships with product areas at Google (and some Alphabet businesses), supporting Google’s consumer products ecosystem and enabling numerous launches for Google’s consumer products each year.

  Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

  To learn more about gTech, check out our video (https://www.youtube.com/watch?v=HcjR6ZngQcw) .

  The US base salary range for this full-time position is $146,000-$220,000 + 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 for new hire 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 (https://careers.google.com/benefits/) .

  Translate business problems from your supported organization or functional area into analytical solutions and insights.

  Provide technical mentorship in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business.

  Work closely with product and engineering teams to analyze impact on product or Google-wide metrics (including daily activities, retention, churn).

  Collaborate with Consumer and Engineering teams to write complex code, and implement tools to improve troubleshooting efficiency and the end user experience.

  Manage stakeholder expectations and communicate with internal teams and external consumers, advertisers, and publishers to provide technical and business feedback as well as deliver technical solutions.

  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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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