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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Proofpoint - **Location:** Sunnyvale, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Artificial Neural Networks, Distributed Systems, Fraud Prevention and Detection, Machine Learning, Tensorflow, Pytorch, Large Language Models, Apache Spark, Deep Learning, Xgboost - **Published:** August 26, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pfdy6gepe2 ## About the Role * Experience leading high-impact machine learning projects with demonstrated results in production environments * Deep expertise in neural network architectures with proven experience applying them to real-world problems. Experience with graph neural networks or advanced fraud detection techniques is highly desirable * Proficiency with one or more deep learning frameworks (PyTorch, TensorFlow, JAX). Experience with PyTorch Geometric or DGL is a plus * Hands-on expertise with gradient boosting frameworks (XGBoost, CatBoost, LightGBM) for imbalanced classification tasks * Experience monitoring and maintaining model performance in production, including detection and mitigation of model and data drift * Experience leveraging LLMs and agentic workflows for research and problem-solving is a plus * A collaborative mindset with genuine passion for high-impact work and a commitment to fostering innovative thinking within the team * Strong listening skills; open to input from other team members and departments ## Description Proofpoint is looking for a Senior Data Scientist to join our Machine Learning team. In this role, you'll drive the evolution of our email threat detection engine, which protects some of the largest enterprises globally, from sophisticated email-based threats. You will collaborate cross-functionally and lead major initiatives end-to-end ensuring that we apply state-of-the-art machine learning techniques to identify and solve the most impactful problems. You will also help promote machine learning best practices and encourage innovative approaches to problem-solving within the team., * Extract and derive actionable insights from massive volumes of unstructured email datasets using distributed computing tools (Spark, Iceberg, Athena) and AWS SageMaker * Engineer features that capture communication behaviors and patterns across billions of email records, translating domain expertise into scalable feature pipelines * Fine-tune LLMs for domain-specific tasks (email topic detection, NER) and train neural network models from scratch on massive volumes of email data to identify anomalous patterns and behaviors indicative of malicious threats * Apply classical machine learning techniques (e.g., boosting, bagging) to train models that classify large volumes of imbalanced datasets with low-latency inference * Deploy trained models to production using AWS SageMaker, directly impacting the effectiveness of our core threat detection products * Partner with Product and Engineering teams to identify high-impact research areas and drive data-driven decision-making * Mentor junior data scientists and drive adoption of ML best practices, fostering a culture of experimentation and continuous learning * Evaluate emerging machine learning and AI advancements, and integrate promising techniques into our threat detection solutions ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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