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Google Business Data Scientist, Product and Tools Operations in Boulder, Colorado

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

Minimum qualifications:

  • Bachelor's degree in Computer Science or equivalent practical experience.

  • 2 years of experience coding with a general purpose programming language (ie. Java, C/C++, Python).

  • Experience working with web technologies including, but not limited to: HTML, CSS, JavaScript and HTTP.

  • Customer-facing experience translating technical concepts and solutions to non-technical and executive audiences.

Preferred qualifications:

  • Master's degree in Statistics, Computer Science, Engineering, Mathematics, or a related field.

  • Experience with big data and cloud platforms to deploy large-scale data science solutions.

  • Experience in SQL, R, Python, Marketing Analytics, or Software Development.

  • An understanding of media and the statistical algorithms typically used in marketing analytics.

gTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.

Our mission is to understand and improve the Google Ads Customer Experience (CX) by uncovering data-driven actionable insights at scale. These insights are highly sought after by Product Area leadership to inform business and product decision making, providing the best experiences possible to our users. The Customer Experience (CX) Lab conducts recurring customer satisfaction (CSAT) surveys and Scaled Qualitative Studies - customer-facing research - on behalf of Ads Ecosystem Leadership. We assess the experiences of the direct users of Google's Ads products, distill and analyze these findings, and document and present associated insights to Google Ads leadership.

The Customer Experience Lab conducts scale, global customer satisfaction surveys and scaled survey research with advertisers who use Google’s Advertising and Marketing Solutions. The team is charged with generating actionable insights for Product Area leadership to inform business and product decision-making to improve the advertiser experience. As a Data Scientist, you will be familiar with Google’s advertising products and are passionate about translating data into actionable insights via modeling and analysis.

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) .

Additional Information

(Colorado only*) Minimum salary of $118,000 + bonus + equity + benefits.

*Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired into our offices in Colorado.

  • Leverage critical thinking and problem statement definition, decomposition, and problem solving skills to ensure efforts are focused on delivering impactful and actionable outcomes.

  • Adopt and develop data engineering methodologies including data source and feature identification and integration, data pipelining, feature engineering, data munging, and analysis using script/code driven methods that can translate from research to production.

  • Analyze and develop explanatory, predictive, and prescriptive models using appropriate mathematical methods including but not limited to frequentist statistics, Bayesian statistics, time-series analysis, supervised and unsupervised machine learning methods, natural language process, and semantic analysis.

  • Develop and conduct experiments to validate or clarify findings from observational research.

  • Collaborate across internal, cross-functional stakeholder teams, managing opportunities and challenges in ways that improve processes.

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 Google's EEO Policy (https://careers.google.com/eeo/) and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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