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Senior Data Scientist

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Remote

Senior Data Scientist

ExtraHop

Senior Data Scientist

Skills

Google Cloud PlatformSQL QueriesPythonData ScienceCybersecurityData AnalysisMachine LearningAIAWSFinancial Planning

1 month ago

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Important information


Salary:

$165,000 – $180,000 / year

Location:

United States

Work mode:

Remote

Published on:

12 September 2026

What they need


Who you are

  • 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
  • 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 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

What the job involves

  • 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

Benefits

  • Flexible Time Off | PTO policies that trust you to manage your time and recharge when you need it most
  • Remote & Hybrid Work Options | Work where you work best. We support remote, hybrid, and in-office arrangements based on your role and preference
  • Paid Company Holidays | Enjoy time with family and friends during major holidays
  • Voluntary Time Off | 3 community service days each year to give back to causes you care about
  • Global Collaboration | Work with teammates around the globe. Bring your perspective to a truly international team
  • Team Events & Offsites | Regular team gatherings, department offsites, and company-wide celebrations to build connections
  • Comprehensive Medical Coverage | Health and Wellness benefits to fit your needs
  • Wellness Program | Access to Employee Assistance Programs (EAP), gym membership discounts, and resources to support your physical and mental well-being
  • Life & Disability Insurance | Company-provided life insurance and disability coverage to protect you and your loved ones
  • Commuter Benefits | Commuter benefits to make your journey to a local office easier
  • Competitive Compensation | Market-rate salaries benchmarked against data to ensure you’re paid fairly for your expertise and impact
  • Competitive Compensation | Market-rate salaries benchmarked against data to ensure you’re paid fairly for your expertise and impact
  • Performance Incentives | Bonus or commission opportunities based on role and performance
  • Employee Referral Program | Generous referral bonuses when you help us find great talent; your network matters
  • Financial Planning Resources | Access to financial wellness programs and planning tools to help you make informed decisions about your future
  • Parental Leave | Generous paid parental leave for new parents, because welcoming a new family member is a life-changing moment
  • Family Medical Leave | Extended leave options for family caregiving, medical situations, and life transitions
  • Family-Inclusive Benefits | Healthcare coverage that extends to domestic partners, spouses, and dependents
  • Professional Development Budget or Tuition Reimbursement | Financial support for continuing education, certifications, and degree programs relevant to your career. Annual budget for conferences, courses, workshops, and learning resources
  • Internal Mobility | Career growth happens in multiple directions — move up, across functions, or to new locations as opportunities arise
  • Mentorship | Connect with experienced leaders across the organization who can guide your career development
  • Craft beer on tap for celebrations and team gatherings
  • Fully stocked kitchen with snacks and beverages
  • Collaboration spaces designed for both focused work and team brainstorming
  • Cafe for vibing, gaming, and recharging between meetings
  • Walking distance to restaurants, shops, and the waterfront

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