Senior Applied Data Scientist

February 15

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Abnormal Security

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Abnormal provides total protection against the widest range of attacks including phishing, malware, ransomware, social engineering, executive impersonation, supply chain compromise, internal account compromise, spam, and graymail.

Email Security • Business Email Security • Cloud Email Security • Phishing Detection • Business Email Compromise

501 - 1000 employees

📋 Description

• Abnormal Security is looking for an Applied Data Scientist to join the Message Detection - Attack Detection team. • The Attack Detection team plays the central role of building an extremely high recall Detection Engine that can operate on hundreds of millions of messages at milliseconds latency. • This team is solving a multi-layered detection problem, which involves modeling communication patterns to establish enterprise-wide baselines, incorporating these patterns as robust signals, and combining these signals with contextual information to create extremely precise systems. • This role would also have an opportunity to have a significant impact on the overall charter, direction and roadmap of the team.

🎯 Requirements

• 5+ years experience designing, building product machine learning applications in one of the domains of text understanding, entity recognition, NLP experience, computer vision, recommendation systems, or search. • Experience with data analytics and wielding SQL+ pandas framework to both build metric and evaluation pipelines, and answer critical questions about counterfactual treatments. • Ability to understand business requirements thoroughly and bias toward designing a simplest yet generalizable ML model / system that can accomplish the goal. • Ability to rapidly iterate on 0-to-1 model prototypes, interpret results, and pivot an approach, in order to evaluate most promising solutions as new problems arise. • Uses a systematic approach to debug data issues within both ML and heuristics models. • Fluent with Python and machine learning toolkits like numpy, sklearn, pytorch and tensorflow. • Effective programming skills which enable them to quickly add incremental logic to our codebase with readable, well tested and efficient code. • BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field