Senior Data Scientist - Cybersecurity ML

About the role

ExtraHop builds Network Detection and Response (NDR) solutions that give organizations real-time visibility into cyber threats, vulnerabilities and network performance issues. As a Senior Data Scientist, you will advance the machine learning and AI capabilities behind the products, analyzing large-scale network telemetry and improving threat detection accuracy. This is an applied data science role working with data scientists, threat researchers and software engineers, based remotely (US) or in Seattle.

Key responsibilities

• Analyze large-scale network telemetry to find behavioral patterns, anomalies and signals of malicious activity.
• Design, develop and refine machine learning and AI methods for the products.
• Build evaluation methods for cybersecurity data, including imbalanced datasets, incomplete labels and rare events.
• Run exploratory data analysis, feature engineering, model development and error analysis on high-volume data.
• Research emerging ML and AI techniques and assess their fit for the products.
• Set metrics and monitoring for model and detector performance over time.
• Communicate findings, limitations and recommendations to technical stakeholders and product leaders.
• Mentor other data scientists and document methodologies and experiments.

Required profile

• Bachelor's degree in Data Science, Computer Science, Mathematics or another quantitative field, or equivalent experience.
• 7+ years of professional data science experience, including ML model development and evaluation.
• Experience with incomplete, noisy or highly imbalanced data and error analysis.
• Experience collaborating with software engineers to integrate data science into production systems.
• Preferred: Master's or Ph.D., and experience in cybersecurity, fraud or anomaly detection.

Required skills

• Strong foundation in statistics, experimental design, machine learning and model evaluation.
• Python and SQL, with common data science and ML libraries.
• Preferred: time-series analysis, anomaly detection, clustering, graph analytics, generative AI, LLMs, AWS or GCP.

What we offer

• Salary of $165,000 - $180,000 per year, plus discretionary bonus and stock options.
• Medical, dental and vision coverage, 401(k) with employer match, flexible PTO and parental leave.
• Hybrid and remote work model.