Senior Security Data Scientist

Summary

Join Elastic's Security ML team as a Senior Security Engineer with Data Science experience to build and innovate AI/ML solutions for Endpoint Security. You will perform data analysis, collaborate with cross-functional teams, and maintain ML models. The role involves promoting long-term model performance monitoring, identifying areas for improvement, and leveraging feedback. You will need experience in building security solutions, threat hunting, Python programming, testing, and data analysis. The position offers a competitive salary, stock options, 401k matching, and a comprehensive benefits package focused on employee well-being. Elastic is a distributed company that values diversity and inclusion, offering flexible work arrangements and generous benefits.

Requirements

• Experience building Security solutions (Endpoint, Network, UEBA, etc.)
• Experience with threat hunting and malware analysis
• Proficiency in Python programming skills
• Experience with writing and running tests (unit tests, integration tests, regression tests)
• Experience with performing data analysis as required to support data quality decisions
• Ability to both give and receive helpful code reviews
• Be comfortable working in a fully-remote environment
• Be able to communicate clearly to diverse groups of stakeholders coming from different disciplines, time zones, and programming language preferences
• Willingness to learn new things and ask for help

Responsibilities

• Contribute to developing ML solutions for Endpoint Security
• Perform data analysis on our sources to identify new solutions and improvements
• Collaborate within the Security ML team and with members of other teams to build, ship, and maintain ML models
• Promote long-term vision for monitoring performance of deployed models to identify concept drift and determine retraining cadence
• Determine how to improve models over time by leveraging implicit and explicit feedback

Preferred Qualifications

• Experience designing, training, and evaluating models using popular ML frameworks
• Experience with AWS or GCP
• Experience with Kubernetes
• Experience with Buildkite or other CICD tooling

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave
• Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program
• Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being