Senior Product Data Scientist, Google Messages, Spam and Abuse
Share Senior Product Data Scientist, Google Messages, Spam and Abuse
corporatefare_ Google place San José, CA, USA; 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 Senior Product Data Scientist, Google Messages, Spam and Abuse
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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: San José, CA, USA; Mountain View, CA, USA .
Minimum qualifications:
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).
Experience with A/B testing methodologies.
Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
Experience developing and using AI tools in the @context of data science for large, consumer facing internet products.
About the job
Android, Business, and Communications (ABC) is at the core of how people and businesses connect across the globe. Our mission is to build the world's most helpful, expressive, and secure communication experiences. With nearly 2 billion active users on Google Messages and nearly 1 billion using the Phone app (Dialer), we ship products that make a meaningful difference in lives worldwide.
We define standard-setting "toothbrush journeys"-from fundamental calling reliability to high-resolution media sharing and expressive reactions. Beyond peer-to-peer connection, we are pioneering the next generation of conversational commerce, enabling businesses to deliver app-like experiences directly within the messaging interface. Whether adapting mobile features for a multi-device world on Wear OS or driving engagement with best-in-world features like Call Screen, we focus on high-impact innovation that connects everyone, regardless of their device.
As a Data Scientist for Android & Business Communication (ABC), you will deliver critical insights, predictive models, and measurement frameworks to protect users across Rich Communication Services (RCS) and RCS Business Messaging (RBM) from spam, abuse, and malicious traffic.
In this role, you will analyze complex, large-scale communication data to identify emerging abuse vectors, model adversarial behaviors, and guide product and engineering teams on anti-spam and trust and safety strategies. You will bridge technical rigor and product execution by designing end-to-end classification and detection pipelines, running robust offline and online evaluations, and translating complex analytical findings into actionable recommendations that safeguard ecosystem trust and enhance the messaging experience globally.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
Define and track core metrics for spam prevalence, false positives, enforcement efficacy, and user impact. Develop automated dashboards, anomaly detection alerts, and reporting pipelines to monitor ecosystem health in real time.
Design and execute A/B tests and counterfactual analyses to evaluate the efficacy and side effects of anti-spam rules, ML model updates, and UI interventions.
Partner closely with Product, Engineering, Policy, and UX teams to identify spam trends, prioritize enforcement roadmaps, and balance security with user engagement.
Conduct exploratory data analyses on evolving adversarial behaviors in conversational messaging and present technical insights to cross-functional stakeholders.
Evaluate and iterate on statistical models, heuristics, and classification algorithms (e.g., text classifiers, graph signals, behavioral anomaly detection) to detect spam, phishing, and unwanted traffic across P2P RCS and commercial RBM channels.
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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 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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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.
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.
