Role Overview
The Head of Data Science - Core Insights position at Socure is a full-time hybrid leadership role based in San Francisco, California, offering remote flexibility. This position suits an experienced quantitative expert with a strong background in fraud analytics who wants to shape the future of identity trust infrastructure.
Key Responsibilities
Own the core research agenda by designing analytical frameworks, causal inference studies, and identification strategies to investigate fraud surges and adversarial responses.
Turn a massive global identity graph into actionable intelligence that surfaces fraud rings, emerging attack typologies, and behavioral shifts.
Bridge external macroeconomic and regulatory shifts with internal research, modeling, and product roadmaps.
Transform complex multivariate findings into compelling white papers, regulatory briefings, and presentations that shape public and industry understanding.
Build, recruit, mentor, and develop a high-performing team of researchers, data scientists, and analysts.
Influence product development, machine learning models, and go-to-market strategies through continuous data feedback loops.
Represent the organization externally at major industry conferences, regulatory working groups, and partner forums to drive market differentiation.
Requirements
Minimum of 10 years of applied experience in data science, fraud analytics, risk research, or quantitative economics with large-scale impact.
Advanced degree, such as an MS or PhD, in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
Deep domain expertise in fraud, identity risk, financial crime, or adjacent spaces like synthetic identity, account takeover, or bust-out rings.
Strong command of causal inference, statistical modeling, and modern machine learning techniques applied to adversarial problems.
Proven track record of external thought leadership, including publications, conference presentations, or regulatory engagement.
Exceptional written and verbal communication skills for translating complex insights to executive, regulatory, and technical audiences.
Experience leading and developing high-performing technical teams.
Nice to Have
Experience with graph-based analytics, identity network modeling, or fraud ring detection tools like Neo4j or AWS Neptune.
Familiarity with the regulatory landscape governing identity verification and consumer financial protection, including CFPB and FinCEN.
Experience handling document validation, selfie verification, device intelligence, or behavioral biometrics in a fraud context.
Published research in peer-reviewed journals, industry publications, or prominent market forums.
Background working in financial services, fintech, credit bureaus, payments networks, or fraud consortia.
Exposure to explainable AI, model governance, or adverse action frameworks.
Skills and Tools
Python
SQL
AWS
Graph analytics
Machine learning frameworks
Causal inference and statistical modeling
Salary and Benefits
Annual salary range between $250,000 and $300,000 USD per year.
About the Company
Socure builds the identity trust infrastructure for the digital economy, verifying identities in real time and stopping fraud before it starts. The company tackles complex problems that impact businesses, governments, and millions of individuals daily, relying on a global identity graph that incorporates PII, device signals, behavioral telemetry, and verification outcomes.
How to Apply
Interested candidates should visit the official Socure careers page to submit an application for this opportunity.
