Senior Data Scientist – Hybrid

Role Overview

• Lead the architecture and technical strategy for large-scale retrieval, ranking, vector search, RAG, and anomaly detection systems operating at enterprise scale
• Drive innovation across LLMs, AI-powered discovery, personalization, and autonomous AI workflows
• Define the future direction of AI-driven reasoning, ranking and investigation capabilities across the platform
• Own end-to-end AI/ML architecture, including data pipelines, feature engineering, model development, deployment, monitoring, evaluation, and continuous improvement
• Establish scalable architecture patterns, engineering standards, experimentation frameworks, and operational best practices across multiple teams
• Drive foundational investments and technical direction across AI platforms, retrieval infrastructure, model-serving systems, and ML tooling
• Balance model quality, customer experience, latency, scalability, reliability, security, and infrastructure cost when making architectural decisions
• Define evaluation methodologies, experimentation strategies, and success metrics to assess product, model, and business impact
• Partner closely with Product, Engineering, Security, Infrastructure, and Operations teams to identify high-value opportunities and deliver scalable AI solutions
• Communicate technical trade-offs, recommendations, and results clearly to both technical and executive audiences
• Lead highly ambiguous, multi-quarter initiatives spanning Product, Engineering, Data Science, and other stakeholders
• Influence organization-wide technical strategy, investment priorities, and long-term AI roadmap decisions
• Represent the organization in executive reviews and drive alignment on major technical and product initiatives
• Mentor junior scientists while fostering a culture of technical excellence and innovation

Requirements

• 8+ years of experience building and scaling large-scale AI/ML, search, retrieval, ranking in the cybersecurity space
• MS, PhD, or equivalent industry experience in Computer Science, Statistics, Physics, or a related quantitative discipline
• Deep expertise in semantic retrieval, vector search, ranking systems, recommendation systems, NLP/LLMs, RAG architectures, and agentic AI systems
• Strong understanding of retrieval and ranking trade-offs, experimentation methodologies, model evaluation, and operational excellence
• Experience operating large-scale production systems with demanding latency, scalability, reliability, and cost requirements
• Proven track record of delivering measurable business impact through AI and machine learning innovation
• Experience leading cross-functional initiatives across multiple organizations and stakeholder groups
• Ability to influence executive stakeholders and drive strategic technical decisions across large organizations
• Exceptional communication, leadership, strategic thinking, and mentoring skills
• Strong programming skills in Go, Python, SQL, and modern machine learning ecosystems
• Experience designing and deploying end-to-end ML solutions, including data acquisition, feature engineering, model development, evaluation, deployment, and monitoring
• Strong knowledge of experimentation frameworks, online evaluation, A/B testing, causal inference, and model validation methodologies
• Proficiency in Anomaly Detection, MITRE entities, Detection Engineering,Triage and Investigation
• Experience with modern AI infrastructure, large-scale data processing, distributed systems, and production ML platforms
• Ability to communicate data-driven insights, uncertainty, assumptions, and trade-offs to technical and non-technical audiences.

Tech Stack

• Cyber Security
• Distributed Systems
• Python
• SQL
• Go

Benefits

• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities