Senior Product Data Scientist, Google Messages, Spam and Abuse

About the role

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 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

[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.