Sr. Data Scientist (Content Security)

External

Trend Micro · Taipei, Taiwan

Full-timeOn-siteToday

AirflowAWSAzureData ModelingDocumentationFeature Engineering

Cover Letter Connect

Prepare for this interview

Elite

AI-generated questions, company research, and talking points tailored to this role

About the role

AI is currently at the forefront of technological advancement, marking a transformative shift across industries. As a global cybersecurity leader, Trend Micro is committed to staying at the cutting edge of this evolution. You will work with large-scale data, deliver AI solutions, and collaborate with threat experts to enhance cybersecurity for millions of users. We are building an AI-native engineering organization . That means AI is not an optional accelerator - it is a core part of how we design, build, test, and ship. We are looking for data scientists who have already established their own AI-driven development workflows and are ready to bring that mindset to petabyte-scale, security-critical problems.

Responsibilities

Drive the full data science lifecycle with AI at every stage - from problem framing and feature engineering, through model development, evaluation, deployment, and monitoring - using tools like Claude Code, GitHub Copilot, or Cursor as a first-class part of your workflow.

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.

How You'll Adopt AI

Established a repeatable AI-native development workflow for data science tasks - from EDA and feature engineering to model iteration and documentation.

Practices context engineering: actively managing what is given to AI tools to produce high-quality, project-appropriate outputs such as analysis code, model architectures, and experiment writeups.

Familiarity with AI-native tools (e.g., Claude Code, GitHub Copilot, Cursor) and how to configure them for a data science codebase (e.g., CLAUDE.md, Cursor Rules).

Validates AI-generated code and analysis - reviewing logic, statistical soundness, edge cases, and alignment with security domain requirements.

Experience building or using Agent Skills or MCP servers to extend AI capabilities within a data or research workflow.

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.

Sr. Data Scientist (Content Security)

About the role

Responsibilities

Requirements

Additional Information

Your Match

Company Intel

What employees say

Interested in this role?