Senior Data Scientist, Cyber Risk & Threat Intelligence

Doist; Córdoba; Híbrido; ARS 135.820.000 - 226.367.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Comprehensive benefits

Flexible work environment

Wellness days

Recognition program

Global collaboration

Descripción de la vacante

Proofpoint is a global leader in human- and agent-centric cybersecurity, protecting how people and AI agents connect across email, cloud, and collaboration tools. Our mission is to safeguard the digital world and empower people to work securely and confidently.

As a core team member, you will architect scalable ML systems and own end-to-end development and deployment of ML models, from infrastructure design to monitoring and optimization.

Formación

• Proficiency in Python and software fundamentals.
• Experience building ML systems end-to-end (pipelines, training, serving, monitoring).
• Hands-on with ML frameworks (PyTorch, TensorFlow, Scikit-learn).
• Familiarity with ML deployment/serving: MLflow, TensorFlow Serving, KServe.
• Experience with cloud platforms, AWS in particular (EC2, S3, SageMaker).
• Knowledge of CI/CD, testing, and version control practices.
• Basic adversarial ML concepts and security analytics a plus.

Responsabilidades

• Design and build scalable ML pipelines and data infrastructure for high-throughput threat detection systems.
• Own end-to-end deployment and monitoring of ML models in production, including A/B testing and optimization.
• Architect model serving solutions (REST APIs, batch, streaming) to meet latency/throughput requirements.
• Collaborate with data scientists to translate model requirements into production systems.
• Implement monitoring, logging, and alerting for ML models in production.

Conocimientos

Python

Data structures

Algorithms

System design

ML pipelines

Model training

Model serving

Monitoring

Go

AWS

Herramientas

PyTorch

TensorFlow

Scikit-learn

MLflow

TensorFlow Serving

KServe

GoLang

AWS

Descripción del empleo

Cordoba, Argentina
Full time
R14503

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

What You Bring to the Team

As a core team member, you will play a crucial role in architecting scalable ML systems and ensuring production excellence. You will own the end-to-end development and deployment of ML models, from infrastructure design to optimization and monitoring. You work closely with data scientists, MLOps engineers, data engineers, and security specialists to ensure models scale, perform reliably, and integrate seamlessly into our production environments.

Desired Skills & Experience

• Strong software engineering fundamentals: proficiency in Python, solid understanding of data structures, algorithms, and system design.
• Experience building ML systems end-to-end: data pipelines, feature engineering, model training, model serving, and monitoring.
• Hands‑on experience with ML frameworks: PyTorch, TensorFlow, or Scikit‑learn in production settings.
• Familiarity with ML deployment and serving frameworks: MLflow, TensorFlow Serving, KServe, or similar.
• Familiarity with goLang.
• Experience with cloud platforms, particularly AWS (EC2, S3, SageMaker, Lambda, RDS) for building scalable systems.
• Understanding of software engineering best practices: testing, CI/CD, code review, and version control.
• Basic understanding of adversarial ML concepts and security analytics is a plus.

Day‑to‑Day Responsibilities

• Design and build scalable ML pipelines and data infrastructure for high‑throughput threat detection systems.
• Own the end‑to‑end deployment and monitoring of ML models in production, including A/B testing and performance optimization.
• Architect model serving solutions (REST APIs, batch prediction, streaming) that meet latency and throughput requirements.
• Build feature pipelines and data infrastructure to support model training and inference at scale.
• Collaborate with data scientists to understand model requirements and translate them into production systems.
• Implement monitoring, logging, and alerting for ML models in production to detect performance degradation and failures.
• Optimize model performance and resource utilization, managing compute costs and inference latency tradeoffs.
• Actively engage with the team including data scientists, engineers, ML platform specialists, security analysts, and product management to deliver robust solutions.

Why Proofpoint?

• 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 .

Contract and Location

Type of work: Full time (M-F)- long term - contractor (USD) - Hybrid

Equipment: Company‑provided work laptop

English Level: Advanced, written and spoken

The contractor must be based in: Córdoba, Argentina

Renewal Salary

No salary information provided in the excerpt retained above.