Senior Data Scientist, Product, Shopping

vor 2 Wochen

Zürich, Zürich, Schweiz Google Vollzeit CHF 120'000 - CHF 180'000 pro Jahr
Senior Data Scientist, Product, Google Shopping
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corporate_fare Google place Zürich, Switzerland ; London, UK Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area Apply
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info_outline X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Zürich, Switzerland; London, UK Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of experience with a Master's degree).
Preferred qualifications:
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • Experience building commerce/shopping related products.
About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next Responsibilities
  • Act as a consultant and thought partner to Engineering and Program Management leads, providing data-driven perspectives on product direction and opportunities. Define, track, and analyze key metrics and attribution mechanisms to guide product development.
  • Conduct deep-dive analyses to identify the most significant opportunities for improving the Shopping Graph. Identify and advocate new investigative approaches.
  • Design and implement analysis (evals, log analysis etc.) to measure the impact of Shopping Graph data on key shopping experiences (especially AI-powered experiences like AIM and Gemini).
  • Communicate complex findings and recommendations clearly and effectively to technical and non-technical stakeholders, including executive leadership.
  • Operate with a high degree of autonomy, managing projects end-to-end from conception to impact.

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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.

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