Senior Data Scientist

ExtraHop; Seattle (WA); Hybrid; USD 165,000 - 180,000; Full time

Benefits offered by this job

Hybrid and remote work model

Health, Dental, Vision

Educational reimbursement

401k with employer match

Paid time off

Job summary

ExtraHop is hiring a Senior Data Scientist to advance machine learning and AI capabilities powering our Network Detection and Response platform. You will analyze large-scale network telemetry, build models to identify malicious activity, and collaborate with data scientists, threat researchers, and engineers to deliver robust product features.

This role requires a strong foundation in statistics, experimental design, and scalable production code, with 7+ years of experience and a track record of

Qualifications

• 7+ years of experience in data science with ML models for real-world use cases.
• Strong foundation in statistics and experimental design.
• Experience handling incomplete, noisy, or imbalanced data and analysing errors.
• Ability to write maintainable, tested production-grade code.
• Excellent communication of findings to technical and non-technical audiences.

Responsibilities

• Analyze large-scale network telemetry to identify patterns and signals of malicious activity.
• Design and refine ML/AI methods to support ExtraHop’s products.
• Develop evaluation methods for cybersecurity data, including imbalanced datasets and changing attacker behaviour.
• Perform exploratory data analysis, feature engineering, model development, and error analysis.
• Collaborate with software engineers to integrate data science into production systems.
• Mentor other data scientists through code reviews and technical strategy.

Skills

Statistical analysis

Experiment design

Imbalanced data handling

Python

SQL

Communication

Education

Bachelor's degree in Data Science, CS, Math

Master's degree (preferred)

Tools

Python libraries (scikit-learn, TensorFlow)

SQL databases

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, organisations 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.

Position Summary

ExtraHop is at the forefront of cybersecurity innovation, delivering Network Detection and Response (NDR) solutions that help organisations 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 analyse large-scale network telemetry, develop and evaluate methods for identifying malicious behaviour, 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 into reliable product capabilities, and play a key role in contributing to the improvement of the RevealX platform.

Key Responsibilities

• Analyze large-scale network telemetry to identify behavioural 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 behaviour.
• 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-solver 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, actuarial modelling, 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 behaviour 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 analysing 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 centre, 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 organisations 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!

To learn more, visit our website or follow us on LinkedIn.