Data Scientist Fraud Detection Models

Analyze fraud traffic and build detection models as a Senior II Data Scientist at Akamai. Work across teams while improving security product accuracy in a flexible FlexBase environment.

You will address customer challenges through large-scale data science and production-ready analysis. The work combines SQL, Spark, Python, probability, statistics, and machine learning algorithms. You will also troubleshoot complex production issues and communicate technical insights clearly.

Key Responsibilities:

• Differentiate legitimate traffic from fraudulent activity using large datasets
• Implement rules and models improving detection accuracy and effectiveness
• Enhance processes for manipulating and presenting production data
• Analyze datasets supporting product performance and strategic insights
• Resolve production issues in distributed systems

Requirements:

• Eight years of relevant experience with bachelor’s degree or equivalent
• Large dataset experience using SQL, Spark, and Python
• Knowledge of probability, statistics, and machine learning algorithms
• Excellent problem-solving skills for complex troubleshooting
• Strong communication and organizational skills explaining technical information

Bring data science, fraud detection, and troubleshooting expertise to Akamai’s security product improvements.