Develop machine learning models for application security at Akamai, using Python and SQL or Spark on large datasets.

As a Senior II Data Scientist, you will strengthen security products by analyzing data, addressing customer challenges, and improving detection. You will collaborate across development teams to implement solutions and provide insights shaping strategy and performance. The work supports highly scalable technologies within Akamai’s Global Web Security group.

Key Responsibilities

Analyze large datasets to distinguish legitimate and fraudulent traffic

Develop detection rules and models for security products

Improve production-ready data collection and analysis processes

Troubleshoot issues in highly distributed environments





Provide insights supporting product improvements and detection accuracy

Requirements

Eight years of relevant experience and bachelor’s degree or equivalent

Experience using SQL or Spark and Python with large datasets

Understanding of probability, statistics, and machine learning techniques

Practical knowledge of bot or fraud detection products

Familiarity with TCP/IP, HTTP, DNS, and TLS/SSL protocols

Apply machine learning, data analysis, and application security expertise to improve Akamai’s detection products and distributed systems.

📌 Senior Machine Learning Security Scientist (Winnipeg)
🏢 Akamai Technologies
📍 Winnipeg