Senior Product Data Scientist, Google Messages, Spam and Abuse

Responsibilities

The Data Scientist will develop predictive models and measurement frameworks to protect users from spam and abuse across messaging platforms. They will also partner with cross-functional teams to define metrics, execute A/B tests, and iterate on classification algorithms to enhance ecosystem trust.

Requirements

Candidates must have a bachelor's degree in a quantitative field and at least 8 years of experience in analytics, statistical analysis, and coding. Proficiency in Python, R, and SQL, along with experience in A/B testing methodologies, is required.

Skills

• Python
• R
• SQL
• Statistical Analysis
• A/B Testing
• Machine Learning
• Data Science
• Predictive Modeling
• Classification Algorithms
• Anomaly Detection
• Data Visualization
• Trust and Safety
• Product Analytics
• RCS
• RBM

Benefits

• Bonus
• Equity
• Health Insurance

About this 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.

About Google

Software Development · 10,001+ employees · headquartered in Mountain View, CA