(Senior) Director of Research and Detection, HUMAN

• Detection & adversarial mindset: You are motivated by adversarial domains (fraud, abuse, security, risk, integrity, or similar), ideally with prior experience as a hands‑on fraud fighter or bot hunter, and you understand how attackers adapt to defenses and the underlying economics of abuse
• People leader: You have a strong track record of managing and growing senior individual contributors and/or managers in Data Science, ML, or adjacent technical fields
• Applied Data Science leader: You’ve led teams that productionize models and data‑driven systems at scale, not just proof‑of‑concept analytics.-
• Technically credible: You can dive into details of modeling choices, data quality, and system design, and you are comfortable reviewing analysis, code, and metrics when needed. You have a strong mental model of how the Internet works end‑to‑end (DNS, TCP/IP, HTTP, TLS, CDNs) and how modern browsers execute and expose behavior (DOM, JavaScript, cookies, fingerprints, automation frameworks)
• Product‑oriented: You are adept at turning ambiguous business and customer problems into clear detection and analytics work, with well‑defined success metrics
• Excellent communicator: You can explain complex technical topics to executives and customers, and you can align diverse stakeholders around a clear plan
• Bias for impact: You optimize for meaningful, measurable outcomes (e.g., improved recall, reduced FPs, better customer experience) rather than purely academic solutions
• Culture carrier: You care deeply about psychological safety, feedback, coaching, and building a team that others are excited to work with
• 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

Desirable

• The Research & Detection organization at HUMAN is dedicated to protecting the Internet by disrupting the economics of cybercrime. We design, build, and operate large-scale detection systems that distinguish real humans from sophisticated bots, fraud & abuse to instill trust in the customer journey
• We are looking for an experienced and hands-on Leader for our Sightline Research & Detection team to lead a team of data scientists, data researchers, and security researchers who own the core detection and analytics capabilities behind HUMAN’s Sightline product
• This role sits at the intersection of data, security, and product, and is critical to our long‑term detection strategy. You bring a deep understanding of how the Internet and modern browsers work and, ideally, a track record as a hands‑on fraud fighter
• 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