The role
From Google's own posting.
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 and 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 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 excellence and product execution by designing end-to-end classification and detection pipelines, running robust offline and online evaluations, and translating complex investigative 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 about benefits at Google .
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.
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.
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.