Senior Applied Data Scientist - Remote

Overview

Abnormal Security is looking for an Applied Data Scientist to join the Message Detection - Attack Detection team. At Abnormal, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Security. That’s what makes our novel behavioral-based approach so…Abnormal. Abnormal has constantly been named as one of the top cybersecurity startups and our behavioral AI system has helped us win various cybersecurity accolades resulting in being trusted to protect more than 17% of the Fortune 1000 (and ever growing).

In Short

• Deep inspection and row level data analysis of false negatives and false positives.
• Understand features that distinguish safe emails from email attacks.
• Train models and develop detectors on well-defined datasets.
• Identify and recommend new features groups or ML model approaches.
• Write code with testability, readability, edge cases, and errors in mind.
• Actively monitor and improve FN rates and efficacy rates.
• Contribute in other areas of the stack.

Requirements

• 5+ years experience in machine learning applications.
• Experience with data analytics and SQL + pandas.
• Ability to understand business requirements thoroughly.
• Ability to rapidly iterate on model prototypes.
• Systematic approach to debug data issues.
• Fluent with Python and machine learning toolkits.
• Effective programming skills.
• BS degree in Computer Science or related field.

Benefits

• Opportunity to impact the overall charter and direction of the team.
• Work in a leading cybersecurity startup.
• Collaborate with a talented team.