Remote Senior Data Scientist - Cybersecurity ML & NDR

Talanto; Northern (KY); Hybrid; USD 165,000 - 180,000; Full time

Benefits offered by this job

Health, Dental, Vision

Flexible PTO

401k with match

Educational reimbursement

Hybrid/Remote work model

Job summary

ExtraHop is seeking a Senior Data Scientist to advance machine learning capabilities powering our Network Detection and Response products. You will analyze large-scale network telemetry, build and evaluate models for threat detection, and translate research into reliable production features.

You will collaborate with data scientists, threat researchers, and software engineers to operationalize research, deliver robust analytics, and continually improve detector performance in a fast-paced,

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 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.

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.

Skills

Python

SQL

Statistics

Machine learning

Data analysis

Education

Bachelor’s degree in Data Science/CS/Math

Master’s or PhD in Data Science/CS/Math (preferred)

Job description

ExtraHop is seeking a Senior Data Scientist to advance machine learning capabilities powering our Network Detection and Response products. You will analyze large-scale network telemetry, build and evaluate models for threat detection, and translate research into reliable production features.

You will collaborate with data scientists, threat researchers, and software engineers to operationalize research, deliver robust analytics, and continually improve detector performance in a fast-paced,