Senior Data Scientist

at  Proofpoint

It’s fun to work in a company where people truly BELIEVE in what they’re doing!
We’re committed to bringing passion and customer focus to the business.
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.
About the Team
Proofpoint Labs is an internal machine learning group that consults across Proofpoint’s entire product portfolio. We are a group of data scientists and engineers who love keeping up with the latest ML research, fostering a collaborative and creative workplace, and solving challenging problems. Over the past several years, we have developed data-driven product features, leveraging a range of model architectures from tree-based models to state-of-the-art transformers. The projects have spanned the full range of modern ML techniques (deep and classical learning), approaches (supervised and unsupervised learning) and data types (textual, image, and structured data). Each new project surfaces novel puzzles to be solved, while production deployments to our cloud ML Platform expose new MLOps challenges. Recently, our organization began spearheading company-wide initiatives around large language models and their application to the business by creating resources, putting together project teams, and organizing hack days.

We are a growing team with many opportunities for ownership and impact, guided by our four values:

• Human Beings, Not Human Doings: We bring our whole self into every part of our work. We possess worth and value beyond our code.
• Humble But Confident: We are confident in our current abilities while celebrating the strengths of our team and our own areas for growth.
• Openly Collaborative: We strive for pristine documentation, transparent chat rooms, and realistic management of tech debt and tribal knowledge.
• Impactful Innovators: We seek and scope meaningful work that we approach creatively but efficiently.

What You Will Do:

• Participate in shaping and executing the Large Language Model strategy for our organization and for Proofpoint.
• Mentor junior data scientists through individual project meetings and technical deep dives.
• Build out more ML-enabled features across various Proofpoint business units.
• Collaborate with ML engineers to bring models to production.
• Coach summer and academic year interns through their project selection and technical decisions (potentially).
• Present results to company stakeholders and customers.

What You Will Need:

• A proven track record for mentoring technical members in a professional setting.
• A deep understanding of recent computer vision and natural language processing algorithms and architectures.
• Fluency in the Python machine learning life cycle: designing, developing, deploying, and maintaining models in production.
• Proficiency in Linux commands, version control, unit testing, and containerization.
• A strong grasp of machine learning algorithms, both unsupervised and supervised.
• Concrete rhythms for staying current with the rapidly evolving field of machine learning.
• The ability to communicate concisely with a non-technical audience.
• The ability to collaborate frictionlessly with a wide range of technical collaborators, both inside and outside the team.
• The ability to manage several projects simultaneously, including scoping technical tasks and effectively communicating progress toward milestones.
• Passion for learning new skills and technologies.

What Will Help:

• Previous professional experience at a SaaS company.
• Knowledge of infrastructure-as-code tools such as CloudFormation or Terraform and public cloud services such as AWS or Azure.
• A graduate degree in Statistics, Machine Learning, Computer Science, or technical field.
• Interest in computer, network, or email security.

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

• Participate in shaping and executing the Large Language Model strategy for our organization and for Proofpoint.
• Mentor junior data scientists through individual project meetings and technical deep dives.
• Build out more ML-enabled features across various Proofpoint business units.
• Collaborate with ML engineers to bring models to production.
• Coach summer and academic year interns through their project selection and technical decisions (potentially).
• Present results to company stakeholders and customers