Sr. Data Scientist (Content Security)

Trend Micro is seeking a Sr. Data Scientist to join their mission to make the world safer for exchanging digital information. The role involves tackling cybersecurity threats using AI and machine learning, working with large-scale data, delivering AI solutions, and collaborating with threat experts to enhance cybersecurity for millions of users.

Must Have

• Design, develop, and deploy scalable data processing pipelines for AI-driven threat detection.
• Work with petabyte-scale datasets, applying advanced statistical analysis, data mining, and machine learning.
• Build and optimize machine learning models to detect and mitigate emerging threats in real time.
• Collaborate with threat researchers, security analysts, and product teams on AI solutions.
• Minimum 4 years of professional experience as a Data Scientist.
• Proficient in Python and PySpark for large-scale data processing and analysis.
• Familiarity with cloud-based big data platforms (AWS EMR, Google Cloud Dataproc, Azure Databricks).
• Strong hands-on experience in designing, building, and deploying machine learning models and pipelines.
• Solid computer science fundamentals: algorithms, data structures, data modeling, system programming.
• Broad knowledge of statistics, data mining, machine learning, and artificial intelligence algorithms.

Good to Have

• Experience or understanding of email threat detection, email security, or related cybersecurity domains.
• Previous publications or presentations in top-tier machine learning conferences or journals.
• Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, Airflow).
• Proficiency in SQL and experience with relational and NoSQL databases.

Join Trend ‧ Join New Generation

Overview

At Trend Micro, we are on a mission to make the world safer for exchanging digital information. Join us to tackle the challenges of threats using AI and machine learning. You will work with large-scale data, deliver AI solutions, and collaborate with threat experts to enhance cybersecurity for millions of users.

What You’ll Do

• Design, develop, and deploy scalable data processing pipelines to support AI-driven threat detection and cybersecurity solutions.
• Work with petabyte-scale datasets from diverse sources, applying advanced statistical analysis, data mining, and machine learning techniques.
• Build and optimize machine learning models to detect and mitigate emerging threats in real time.
• Collaborate closely with threat researchers, security analysts, and product teams to translate complex security patterns into deployable AI solutions.

Qualification/Requirement

• Minimum 4 years of professional experience as a Data Scientist or in a related analytical role.
• Proficient in Python and PySpark for large-scale data processing and analysis.
• Familiarity with cloud-based big data platforms (e.g., AWS EMR, Google Cloud Dataproc, Azure Databricks).
• Strong hands-on experience in designing, building, and deploying machine learning models and pipelines.
• Solid computer science fundamentals, including a deep understanding of algorithms, data structures, data modeling, and system programming.
• Broad knowledge of statistics, data mining, machine learning, and artificial intelligence algorithms.
• Demonstrated ability to work independently to solve complex problems
• Excellent communication skills and the ability to translate complex technical concepts into actionable business insights.

Nice to Have

• Experience or understanding of email threat detection, email security, or related cybersecurity domains.
• Previous publications or presentations in top-tier machine learning conferences or journals, such as:
• NeurIPS (Conference on Neural Information Processing Systems)
• ICML (International Conference on Machine Learning)
• KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining)
• AAAI (Association for the Advancement of Artificial Intelligence)
• CVPR (Conference on Computer Vision and Pattern Recognition)
• Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, Airflow).
• Proficiency in SQL and experience with relational and NoSQL databases.