Senior Data Scientist

About Us:   Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people. How We Work: At Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:  Bold in how we dream and innovate Responsive to feedback, challenges and opportunities Accountable for results and best in class outcomes Visionary in future focused problem-solving Exceptional in execution and impact Corporate Overview  Proofpoint is a leading cybersecurity company protecting organisations’ greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organisations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.   We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That is why we are leaders in next-generation cybersecurity.    The Role    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.  Key Responsibilities   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    What We're Looking For  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    Why Proofpoint  Protecting people is at the heart of our award-winning cybersecurity solutions, and the people who work here are the key to our success.  We’re a customer-focused and driven-to-win organisation with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly ‘culture-add’, and we strongly encourage people from all walks of life to apply.    We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint  Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you’ll love working with us: Competitive compensation Comprehensive benefits Career success on your terms Flexible work environment Annual wellness and community outreach days Always on recognition for your contributions Global collaboration and networking opportunities   Our Culture: Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to accessibility@proofpoint.com.   How to Apply Interested? Submit your application along with any supporting information- we can’t wait to hear from you!