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September 13, 2026

Senior Product Data Scientist, Google Messages, Spam and Abuse

Senior

163,000 - 236,000 USD/yr

San Jose, CA

Quick Facts

  • Role: Data Scientist for Android and Business Communication (ABC)

  • Focus: Protect users and businesses across Rich Communication Services (RCS) and RCS Business Messaging (RBM) from spam, abuse, and malicious traffic

Description

You will deliver critical insights, predictive models, and measurement frameworks to safeguard the messaging ecosystem. You will analyze complex communication data to identify emerging abuse vectors, model adversarial behaviors, and partner with product and engineering teams on anti-spam and trust and safety strategies.

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 efficacy and side effects of anti-spam rules, ML model updates, and UI interventions

  • Partner with Product, Engineering, Policy, and UX teams to identify spam trends and prioritize enforcement roadmaps

  • Conduct exploratory data analyses on evolving adversarial behaviors in conversational messaging

  • 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

Requirements

  • 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

Benefits

  • Individual pay is determined by job-related skills, experience, and relevant education/training

  • US: $163000–$236000 (USD) + 15% bonus target + equity + benefits