ExtraHop - Senior Data Scientist

• Bachelor’s degree in Data Science, Computer Science, Mathematics, or another quantitative discipline, or equivalent practical experience. • 7+ years of professional experience in data science, including developing and evaluating machine learning models for real-world use cases, defining meaningful success metrics, and conducting rigorous offline and online evaluations. • Strong foundation in statistics, experimental design, machine learning, and model evaluation. • Experience working with incomplete, noisy, or highly imbalanced data; performing detailed error analysis; and identifying the causes of false positives and false negatives. • Strong proficiency in Python and SQL, experience with common data science and machine learning libraries, and the ability to write maintainable, tested, and reviewable code. • 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. • Excellent written and verbal communication skills, including the ability to explain technical findings, uncertainty, and tradeoffs to varied audiences. • 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. • The salary range for this role is $165,000 - $180,000 + bonus + benefits • ExtraHop is reinventing Network Detection and Response (NDR) to offer enterprises unparalleled visibility, context, and control against emerging threats. The platform integrates NDR with Network Performance Management (NPM), Intrusion Detection Systems (IDS), and forensics, providing a single, comprehensive solution. By decrypting and analyzing complete packet-level data at wire speed and leveraging cloud-scale machine learning, ExtraHop empowers Security Operations Centers (SOCs) to detect, investigate, and remediate modern cyber risks in real time across their entire hybrid infrastructure, including data center, cloud, and SASE environments. • This comprehensive approach and market innovation have earned ExtraHop unique recognition as the only NDR vendor acknowledged as a leader by all major analyst firms, including the 2025 Gartner® Magic Quadrant for Network Detection and Response™, the 2025 Forrester® Wave for Network Analysis and Visibility, the 2024 IDC® Marketscape for NDR, and the 2025 Gigamon® Radar Report for Network Detection and Response. Since 2007, ExtraHop has consistently helped organizations worldwide extract in-depth network telemetry and contextual insights, affirming its commitment to protecting and empowering the connected enterprise. • OUR VALUES • Our culture is rooted in our five Values. These set the expectations for how we work individually and collectively as a team. • Values • Lead with Purpose: We are driven to deliver results that create a positive impact for our customers, partners, and colleagues. • Lead with Purpose: • Act with Integrity: We operate with transparency, authenticity, and always in the best interest of the company. • Act with Integrity: • Find a Way: We are resourceful, tackle hard problems with a sense of urgency and ownership, and do what it takes to get the job done. • Find a Way: • Innovate: We listen to customers, partners, and the market, and respectfully push boundaries and challenge the status quo. • Innovate: