Senior Data Scientist

🕒 September 10

🇺🇸 United States – Remote

💵 $165k - $180k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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ExtraHop

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🔒 Cybersecurity

🔐 Security

🏢 Enterprise

💰 $41M Series C on 2014-05

Cybersecurity • Security • Enterprise

ExtraHop is a company that specializes in providing security and network management solutions, leveraging real-time analytics to help organizations detect and respond to cyber threats. By utilizing machine learning and other advanced technologies, ExtraHop offers deep visibility into IT infrastructure, ensuring optimal performance and robust security. Their platform aids enterprises in monitoring traffic patterns and identifying unusual activities to protect against data breaches and other cyber risks.

📋 Description

• 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 supporting ExtraHop products • Develop evaluation methods for cybersecurity data, including 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 and relevant cybersecurity developments • Assess applicability of research and techniques to ExtraHop products • Establish metrics and monitoring strategies for model and detector performance over time • Communicate findings, limitations, tradeoffs, and recommendations to technical stakeholders and product leaders • Provide technical leadership and mentorship through code reviews, design discussions, technical strategy, and analytical and engineering standards • Document methodologies, experiments, model behavior, and evaluation results • Write clean, maintainable, well-tested production-quality code • Collaborate with data scientists, threat researchers, and software engineers to translate research and prototypes into reliable product capabilities

🎯 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 • Experience developing and evaluating machine learning models for real-world use cases • Experience 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 • Experience performing detailed error analysis and identifying 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 and intellectual curiosity • Track record of independently owning complex technical work • Excellent written and verbal communication skills • Ability to explain technical findings, uncertainty, and tradeoffs to varied audiences

🏖️ Benefits

• Health, Dental, and Vision Benefits • Flexible PTO • Sick Time Prorated Based on Date of Hire • All Federal Holidays (US Only) • 3 Days of Paid Volunteer Time • Annual Discretionary Bonus Plan eligibility for non-commissioned positions • 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