Design and build autonomous red-team systems and agents that discover, exploit, and report vulnerabilities in apps and digital infrastructure at scale. Develop agentic workflows leveraging coding agents, RAG, domain knowledge repositories, and tool-integrated agents to accelerate the development, evaluation, and continuous improvement of red-team agents and systems. Design reusable data processing frameworks, canonical data models, and data contracts that accommodate evolving red teaming and business require Lead architectural decisions across cloud data platforms, distributed compute engines, data lakes, streaming and batch processing, and analytical serving systems, balancing data freshness, correctness, performance, and cost. Streamline red-team agent development through automated pipelines for code reviews, failure triage, root-cause analysis, and operational knowledge discovery. Establish governance and quality guardrails for red team agents including automated testing, correctness validation, security reviews, and production-readiness checks. Embody our culture and corporate values. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to Scala, Python, C#, Java OR equivalent experience. 3+ years of experience in deep learning and development of advanced AI systems and agents Practical experience applying AI coding assistants, LLMs, and agentic workflows to software development, code modernization, testing, and engineering automation. Experience in RAG, embeddings, semantic search, tool calling, and agent orchestration, with experience implementing appropriate security, correctness, reliability, and human oversight controls. Demonstrated understanding of statistical analysis, time-series analytics, anomaly detection, and forecasting. Extensive experience in data modeling, analytical data systems, and SQL-based data analysis, including translating ambiguous business requirements into actionable metrics and insights. Proven ability to lead cross-team technical initiatives, influence architecture and engineering strategy, navigate ambiguity, and deliver measurable business outcomes. Deep proficiency in Apache Spark, Delta Lake, distributed systems, SQL, or large-scale batch and streaming data processing.