Own our core detection KPIs and overall efficacy for Sightline Cyber Defense (e.g., precision, recall), driving continuous improvement, clear trade-offs, and transparent reporting on these metrics.
Own the detection strategy for Sightline Cyber Defense, shaping how we use data, modeling, and experimentation to stay ahead of adversaries by creating asymmetrical advantages.
Lead and grow a high-performing team of data scientists, data researchers, and security researchers, with a focus on hiring, mentoring, career development, and clear expectations.
Drive end‑to‑end detection projects from hypothesis and exploratory analysis through modeling, offline validation, and production deployment in real‑time systems.
Partner closely with Product and Engineering to prioritize roadmaps, translate customer problems into detection work, and deliver measurable impact.
Integrate Data Science into production systems, working with Engineering to design scalable data pipelines, model serving, and monitoring for billions of daily events.
Raise the bar on detection quality by setting standards and best practices for precision/recall trade‑offs, adaptation resilience, and long‑term maintainability.
Foster a healthy, inclusive team culture aligned with HUMAN’s values: Lead With Humanity, Honor the Customer Journey, Unleash Our Potential, Move As One, Act With Purpose, and Navigate with Speed.
Requirements
Experience shipping models or algorithms into production in high‑scale environments (e.g., security, risk/fraud, identity, or other adversarial, enterprise-scale domains).
Strong proficiency with Python and SQL, and familiarity with modern data/ML tooling (e.g. GCP, BigQuery, Snowflake).
Demonstrated experience working with large‑scale, raw datasets and designing robust metrics and evaluation frameworks, especially for web/app traffic (e.g., HTTP logs, headers, cookies, browser fingerprints, device/identity signals) in adversarial or noisy environments.
Proven ability to hire, develop, and retain senior technical talent in competitive markets.
Experience working cross‑functionally with Product, Engineering, and Customer‑facing teams.