Data Scientist, Research, Search Platforms

Google LLC

  • Mountain View, CA
  • 7 days ago

    Highlights

    This includes scaling User-Perceived Reliability metrics, applying advanced causal inference techniques to measure the impact of user friction on long-term retention, and engineering creative workarounds-like using LLMs to synthesize ground-truth labels-when clean data is unavailable. Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

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    LocationMountain View, CA

    Description

    Data Scientist, Research, Search Platforms - Google Careers

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    Data Scientist, Research, Search Platforms

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    corporate_fareGoogleplaceMountain View, CA, USA; Cambridge, MA, USA

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

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    XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Cambridge, MA, USA.

    Minimum qualifications:

    • Master"s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.

    • 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 3 years of work experience with a PhD degree.

    Preferred qualifications:

    • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

    • Ability to take open-ended problems, provide better definition and eventually solutions.

    About the job

    Search Platform Data Science team works on understanding, measuring, and improving Search systems, including but not limited to Experiment, Reliability, Velocity, Latency, Capacity, Content, Regulation, and Antiscraper. Our team sits at the intersection of Advanced Causal Inference, Product Analytics, and Machine Learning.

    As a Data Scientist on this team, you will pioneer methodological innovations to capture and improve the end-to-end user experience. This includes scaling User-Perceived Reliability metrics, applying advanced causal inference techniques to measure the impact of user friction on long-term retention, and engineering creative workarounds-like using LLMs to synthesize ground-truth labels-when clean data is unavailable. Furthermore, you will drive analytical excellence across the organization by authoring frameworks and best practices to educate the broader Data Science community.

    In Google Search, we"re reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you"ll have an opportunity to make an impact on billions of people globally.

    Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

    US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

    Learn more about benefits at Google.

    Responsibilities

    • Extract strategic insights from large and complex datasets spanning client-side and server-side logs. Address intricate, non-routine analytical challenges by utilizing advanced methodologies as required to optimize the user experience for AIM, AIO products.

    • Execute comprehensive, end-to-end analyses encompassing data ingestion, requirements specification, processing, modeling, continuous deliverables, and professional presentations. Build and prototype analysis pipelines iteratively to provide insights at scale.

    • Interact cross-functionally with a wide variety of people and teams. Work closely with engineers (e.g., Platform, Product, and etc.) to identify opportunities for, design, and assess improvements to AI products.

    • Make strategic business recommendations (e.g., estimating growth headroom, cost-benefit of engineering optimizations, and marketing campaign effectiveness) with effective presentations of findings to multiple levels of leadership.

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate 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 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.

    Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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