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$165k–$180k/yr
Full-time
bachelor degree, postgraduate degree
Health insurance, Dental insurance, Vision insurance, Flexible PTO, Sick time, Paid volunteer time
Posted 15h ago
~40 hrs/week
Responsibilities
You will analyze large-scale network telemetry to develop and refine machine learning models for real-time cyber threat detection. Additionally, you will collaborate with cross-functional teams to translate research into reliable product capabilities and provide technical leadership to other data scientists.
Requirements
Candidates must have a bachelor's degree in a quantitative discipline and at least 7 years of professional experience in data science. Strong proficiency in Python, SQL, and experience with machine learning model development in complex, real-world environments are required.
Full job description
At ExtraHop, we’re on a mission to protect and empower the connected enterprise. We reveal what is happening in the very infrastructure that sustains businesses, lives, and communities, and ensure the integrity of networks, data, systems, and processes. Organizations rely on ExtraHop to provide visibility into the cyber threats, vulnerabilities, and network performance issues that evade their existing security and IT tools. With this insight, organizations can investigate smarter, stop threats faster, and keep operations running.
Our mission is fueled by a profound social and moral responsibility to be the best at what we do, ensuring a secure world where everyone can thrive. If this sounds like a place you’d like to spend the next chapter of your career, we’d love to hear from you.
Position Summary
ExtraHop is at the forefront of cybersecurity innovation, delivering Network Detection and Response (NDR) solutions that help organizations detect, investigate, and respond to cyber threats in real time.
Join ExtraHop as a Senior Data Scientist and help advance the machine learning and artificial intelligence capabilities that power our products. You will analyze large-scale network telemetry, develop and evaluate methods for identifying malicious behavior, and improve the accuracy and efficacy of ExtraHop’s threat detection capabilities.
This is an applied data science role for someone who enjoys solving ambiguous, high-impact problems using statistical analysis, experimentation, and machine learning. You will work closely with other data scientists, threat researchers, and software engineers to translate research and prototypes into reliable product capabilities.
Key Responsibilities
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, including highly imbalanced datasets, incomplete labels, rare events, and changing attacker and network behavior.
Conduct exploratory data analysis, feature engineering, model development, and error analysis using complex, high-volume datasets.
Research emerging machine learning and AI techniques, relevant cybersecurity developments, and assess their applicability to ExtraHop’s products.
Establish metrics and monitoring strategies for measuring model and detector performance over time.
Communicate findings, limitations, tradeoffs, and recommendations clearly to technical stakeholders and product leaders.
Provide technical leadership and mentorship to other data scientists through code reviews, design discussions, technical strategy, and contributions to the team’s analytical and engineering standards.
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.
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.
Preferred Qualifications
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, behavioral 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
ABOUT EXTRAHOP
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.
Lead with Purpose: We are driven to deliver results that create a positive impact for our customers, partners, and colleagues.
Act with Integrity: We operate with transparency, authenticity, and always in the best interest of the company.
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.
Innovate: We listen to customers, partners, and the market, and respectfully push boundaries and challenge the status quo.
Share Success: We run together, we win together. We value diverse perspectives, hold space for all voices, and achieve the best results as a team.
BENEFITS
Employees' wellbeing is top of mind for the ExtraHop team. Employees and their families will have the option to participate in the following benefits:
Health, Dental, and Vision Benefits
Flexible PTO, Sick Time Prorated Based on Date of Hire, and All Federal Holidays (US Only) + 3 Days of Paid Volunteer Time
Non-Commissioned Positions may be eligible to participate in the Annual Discretionary Bonus Plan
FSA and Dependent Care Accounts + EAP, where applicable
Educational Reimbursement
401k with Employer Match or Pension where applicable
Pet Insurance (US Only)
Parental Leave (US Only)
Hybrid and Remote Work Model
Our people are our most important competitive advantage, leading the charge against cyber criminals. Join the fight today!
Interested in building your career at ExtraHop? Get future opportunities sent straight to your email.
Related keywords
Data ScienceCybersecurityNetwork Detection and ResponseNDRMachine LearningArtificial IntelligencePythonSQLTelemetryAnomaly DetectionThreat IntelligenceAWSGCPTime-series AnalysisGraph AnalyticsGenerative AI
Decision-Grade Intelligence for the Agentic Enterprise
Industry
Computer and Network Security
Company size
501-1,000 employees
Founded
2007
Headquarters
Seattle, Washington
LinkedIn followers
44,150
Total funding
$162M
ExtraHop is a leader in real-time network intelligence, empowering organizations with the high-fidelity context they need to power security and IT AI automation, detect risks faster, and respond with confidence.
ExtraHop anchors AI agents with the real-time, ground-truth foundation they need to operate reliably in the SOC and NOC. For security, that means surfacing threats and providing definitive evidence to investigate and respond to novel AI attacks and unsanctioned usage at machine speed. For IT operations, it means identifying and resolving performance issues in seconds to keep critical systems running.
Engineered for unmatched scale, the ExtraHop RevealX platform delivers a complete, unified view of the network for the largest enterprises in the world. Capturing and analyzing network data across data centers, campus, branch, cloud, and AI environments, ExtraHop combines behavioral analysis with deep visibility into encrypted traffic to uncover what others miss.
Offices: 520 Pike St, Suite 1700, Seattle, Washington 98101, US · 3 Temasek Ave, Singapore, Singapore 039190, SG · Devonshire Square, WeWork 8, London, England EC2M 4PL, GB
IT ManagementIT Operations ManagementApplication Performance ManagementUser Experience MonitoringIT Operations AnalyticsIT Operational IntelligenceWire Data AnalyticsSecurityNetwork Traffic AnalysisNetwork Security
Based on 2461 listings with disclosed salaries, most software jobs in Seattle, WA pay between $132k–$250k per year. Individual offers vary with seniority, company size, and specialization.
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