You'll build and maintain backend services, APIs, and internal tools supporting an email threat detection engine protecting large enterprises. The role requires a degree in Computer Science or related field with strong Python fundamentals, knowledge of data structures, algorithms, REST APIs, and Git, plus basic SQL and structured data experience. You'll work closely with senior engineers and data scientists on real products while debugging systems and collaborating on deployments in AWS.
Written from this posting by Neural Jobs AI. The full description is below.
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
TheRole
Proofpoint is looking for a Junior Data Scientist to join our Machine Learning team. You will build and maintain the software systems and tools that support our email threat detection engine, which protects some of the largest enterprises globally. You will work closely with senior engineers and data scientists, contributing to real products from day one while growing your skills in a fast-paced, high-impact environment.
What you'll do:
Build and maintain backend services, APIs, and internal tools that support the team's workflows
Write clean, well-tested, and documented code
Contribute to data processing utilities and automation scripts
Debug and resolve issues in existing systems
Participate in code reviews and apply feedback from senior engineers
Collaborate with engineers and data scientists to understand requirements and deliver reliable software
Support service deployment and monitoring in AWS
What We're Looking For
A degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience)
Strong programming fundamentals in Python
Familiarity with core software engineering concepts: data structures, algorithms, REST APIs, and Git
Basic knowledge of SQL and working with structured data
Familiarity with AWS is a plus
A collaborative mindset and genuine desire to learn
Openness to feedback and strong communication skills
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 [email protected].
How to Apply
Interested? Submit your application along with any supporting information- we can’t wait to hear from you!