Senior Data Scientist

The role

You will advance machine learning and artificial intelligence capabilities for Network Detection and Response products. You will analyze large-scale network telemetry and develop methods to identify malicious behavior.

What you will do

• Analyze large-scale network telemetry to identify behavioral patterns, anomalies, and signals associated with malicious activity.
• Design, develop, and refine machine learning and AI-based methods that support ExtraHop’s products.
• Develop evaluation methods appropriate for cybersecurity data.
• Conduct exploratory data analysis, feature engineering, model development, and error analysis.
• Research emerging machine learning and AI techniques and assess applicability to products.
• Establish metrics and monitoring strategies for measuring model and detector performance.
• Communicate findings, limitations, tradeoffs, and recommendations to technical stakeholders and product leaders.
• Provide technical leadership and mentorship to other data scientists.
• Document methodologies, experiments, model behavior, and evaluation results.
• Write clean, maintainable, and well-tested production-quality code.

Required qualifications

• Bachelor’s degree in Data Science, Computer Science, Mathematics, or another quantitative discipline, or equivalent practical experience.
• Strong proficiency in Python and SQL.
• Experience with common data science and machine learning libraries.
• Ability to write maintainable, tested, and reviewable code.
• 7+ years of professional experience in data science.
• Experience developing and evaluating machine learning models for real-world use cases.
• Experience defining meaningful success metrics and conducting offline and online evaluations.
• Strong foundation in statistics, experimental design, machine learning, and model evaluation.
• Experience working with incomplete, noisy, or highly imbalanced data.
• Experience performing detailed error analysis and identifying causes of false positives and false negatives.
• Experience collaborating with software engineers to integrate data science methods into production systems.
• Strong problem-solving skills, intellectual curiosity, and a track record of independently owning complex technical work.

Nice to have

• Master’s degree or Ph.D. in Data Science, Computer Science, Mathematics, or another quantitative discipline.
• Experience applying data science or machine learning to cybersecurity, fraud detection, abuse detection, anomaly detection, or another adversarial domain.
• Familiarity with Network Detection and Response, network protocols, threat detection, or incident investigation.
• Experience with time-series analysis, anomaly detection, actuarial modeling, clustering, graph analytics, or unsupervised and semi-supervised learning.
• Experience evaluating models in domains where positive examples are rare, labels are incomplete, and the underlying behavior changes over time.
• Experience with generative AI, large language models, agentic systems, or other emerging AI techniques.
• Familiarity with cloud platforms such as AWS or GCP.

Benefits

• Medical, dental, and vision coverage
• 401(k) with employer match
• Flexible PTO
• Parental leave
• Sick Time Prorated Based on Date of Hire
• All Federal Holidays (US Only)
• 3 Days of Paid Volunteer Time
• Annual Discretionary Bonus Plan eligibility
• FSA and Dependent Care Accounts
• EAP
• Educational Reimbursement
• Pet Insurance (US Only)

About the company

ExtraHop is reinventing Network Detection and Response (NDR) to offer enterprises visibility, context, and control against emerging threats. The platform integrates NDR with Network Performance Management (NPM), Intrusion Detection Systems (IDS), and forensics.