Senior Data Scientist, Cybersecurity ML for NDR (Hybrid)

ExtraHop; United States; Hybrid; USD 165,000 - 180,000; Full time

Benefits offered by this job

Hybrid and Remote Work Model

Health, Dental, Vision

401k with Employer Match

Paid Time Off

Job summary

ExtraHop is seeking a Senior Data Scientist to advance the machine learning and AI capabilities behind its Network Detection and Response platform. You will analyze large-scale network telemetry, build models for identifying malicious behavior, and improve detection accuracy in real time.

This applied data science role collaborates with data scientists, threat researchers, and software engineers to translate research into production-grade Python code, contributing to theRevealX platform with

Qualifications

• 7+ years of professional experience in data science, including developing and evaluating machine learning models for real-world use cases.
• Strong foundation in statistics, experimental design, machine learning, and model evaluation.
• Experience with incomplete, noisy, or highly imbalanced data; performing detailed error analysis; and identifying false positives/negatives.
• Experience collaborating with software engineers to integrate data science methods into production systems.
• Excellent written and verbal communication skills, including explaining technical findings, uncertainty, and tradeoffs.

Responsibilities

• Analyze large-scale network telemetry to identify behavioral patterns, anomalies, and signals of malicious activity.
• Design, develop, and refine ML/AI methods for ExtraHop’s products.
• Develop evaluation methods for cybersecurity data, including imbalanced datasets and changing attacker behavior.
• Perform exploratory data analysis, feature engineering, model development, and error analysis on high-volume datasets.
• Research emerging ML techniques and assess their applicability to our products.
• Establish metrics and monitoring for model performance over time.
• Communicate findings and tradeoffs to technical stakeholders and product leaders.
• Provide technical leadership and mentorship through code reviews and design discussions.
• Document methodologies, experiments, and model behavior.
• Write clean, maintainable production-grade code.

Skills

Python

SQL

Statistics

Experiment design

Model evaluation

Data storytelling

Collaboration with engineers

Communication skills

Education

Bachelor's degree in Data Science/CS/Math

Master’s or Ph.D. preferred

Tools

Common data science libraries

Job description

ExtraHop is seeking a Senior Data Scientist to advance the machine learning and AI capabilities behind its Network Detection and Response platform. You will analyze large-scale network telemetry, build models for identifying malicious behavior, and improve detection accuracy in real time.

This applied data science role collaborates with data scientists, threat researchers, and software engineers to translate research into production-grade Python code, contributing to theRevealX platform with