Senior Data Scientist

Role overview Join a cybersecurity team building Network Detection and Response capabilities that help organizations investigate and stop threats across hybrid infrastructure. As a Senior Data Scientist, you will work on ambiguous, high-impact problems by applying statistical analysis, experimentation, and machine learning to large-scale network telemetry. This is an applied role partnering closely with other data scientists, threat researchers, and engineers to turn research into reliable product features.

Responsibilities - Analyze large-scale network telemetry to surface behavioral patterns, anomalies, and signals tied to malicious activity. - Design, develop, and refine machine learning and AI methods that detect threats in real time. - Build evaluation approaches suited to cybersecurity data, including imbalanced datasets, incomplete labels, rare events, and shifting attacker behavior. - Perform exploratory analysis, feature engineering, model development, and error analysis on complex, high-volume datasets. - Research emerging ML and AI techniques and assess applicability to existing detection products. - Define metrics and monitoring strategies that track model and detector performance over time. - Communicate findings, limitations, and tradeoffs to technical stakeholders and product leaders. - Mentor other data scientists through code reviews, design discussions, and contributions to team standards. - Document methodologies, experiments, and evaluation results. - Write clean, maintainable, well-tested production code.

Requirements - Bachelor's degree in Data Science, Computer Science, Mathematics, or another quantitative discipline, or equivalent practical experience. - 7+ years of professional data science experience building and evaluating ML models for real-world use cases. - Strong foundation in statistics, experimental design, machine learning, and model evaluation. - Experience working with incomplete, noisy, or highly imbalanced data and performing detailed error analysis. - Strong proficiency in Python and SQL, plus common data science and ML libraries. - Experience partnering with software engineers to ship data science work 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 explaining technical findings and uncertainty to varied audiences.

Nice to have - Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, or a related quantitative field. - Experience applying data science to security, networking, or related domains.

Benefits and work setup - Health, dental, and vision coverage for employees and families. - Flexible PTO, prorated sick time, federal holidays, and paid volunteer days. - Eligibility for an annual discretionary bonus plan for non-commissioned roles. - FSA and dependent care accounts, plus an employee assistance program where applicable. - Educational reimbursement and a 401(k) with employer match or pension where applicable. - Pet insurance and parental leave. - Hybrid and remote work model.