Data Scientist

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Corporate Overview
Proofpoint is a leading cybersecurity company protecting organizations’ 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 organizations 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’s why we’re a leader in next-generation cybersecurity.
Protection Starts with People.
 

The Role

Proofpoint is looking for a Data Scientist III to join the Algo team within the Tessian Business Unit. In this role, your key responsibility will be to analyse data, build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world.
 

You will collaborate with Product and Engineering teams to identify and solve the most impactful problems applying state-of-the-art machine learning tools and techniques. You'll be surrounded by incredibly smart, talented and friendly colleagues. Engineers at Tessian love to learn from each other and pull together as a team to succeed.

Your day-to-day

• Wrangle and draw meaningful insights from massive amounts of unstructured textual data using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker

• Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns

• Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers, LLMs, anomaly detection as well as classical ML models to solve a multifaceted problem

• Engineer new features, train and deploy models to production using AWS SageMaker as the MLOps platform

• Adopt a data-driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms

• Promote and drive ML best practices and cultivate an environment of experimentation and learning

• Stay up to date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable

What you bring to the team

• Experience contributing to multiple highly impactful machine learning projects with proven results

• Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus)

• Experience monitoring and maintaining performance of models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX)

• A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team

Nice to have

• Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus

• Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data

Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We’re a customer-focused and a driven-to-win organization 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

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If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!