Senior Data Scientist
New
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ExtraHopCybersecurity, NDR
Remote (US) | Seattle, WAFull-TimeSenior
Salary$165,000 - $180,000 + bonus + benefits
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLCybersecurityMachine LearningData science
Requirements
- 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.
- 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.
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.
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