Research Data Scientist, Merchant Shopping Share Research Data Scientist, Merchant Shopping _corporate_fare_ Google _place_ Mountain View, CA, USA

• Mid•Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Research Data Scientist, Merchant Shopping

• Minimum qualifications:
• + Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. + 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
• Preferred qualifications:
• + 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
• About the job
• The Merchant Data Science team is a group of data scientists (US, London, Zurich) within the Merchant Shopping Organization.

We work on building scalable data products that empower data-driven decision-making. We are looking for a passionate, engineering-minded Data Scientist who is eager to innovate on data science using genAI tools and build durable, impactful data products. In this role, you will need to be a full-stack expert who can bridge the gap between software engineering, data engineering, and data science. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US:

$147000 - $210000 (USD) + 15% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

• Responsibilities
• + Build innovative data products like self-serve tools, experiment frameworks, autorater and human evaluations.

+ Operate and contribute towards building a data science team that has engineering style work quality.

+ Provide data-driven perspectives on product direction and opportunities. Define, track, and analyze key metrics and attribution mechanisms to guide product development.

+ Conduct in-depth research and analyses to identify the most significant opportunities for improving the Shopping Graph.

+ Communicate complex findings and recommendations clearly and effectively. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . 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.

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