Head of Data Science (Document Verification & Biometrics)

Join Socure, a leading provider of AI-powered identity verification solutions. As the Head of Data Science, you will drive the strategy and execution of document verification and biometrics, leading a high-performing team and architecting state-of-the-art systems. You will also represent Socure as a thought leader in the industry. Enjoy a comprehensive benefits package, including remote work flexibility, generous PTO, and a self-education allowance.

• Define and execute the data science strategy for Document Verification, Biometrics, and Reusable ID, delivering significant improvements in accuracy and user experience.
• Lead and scale a high-performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability.
• Architect and deploy state-of-the-art computer vision and multimodal systems, including vision-language models (VLMs), for document understanding, face matching, liveness detection, and identity verification.
• Advanced degree (MS/PhD preferred) in Computer Science, Electrical Engineering, Machine Learning, or a related field
• Experience detecting and mitigating deepfakes, presentation attacks, and counterfeit documents
• Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents
• Proficiency in Python and modern ML frameworks (e.g., PyTorch)
• Experience with vector databases and embedding-based retrieval systems
• Proven experience building domain-specific foundation models or large-scale representation learning systems
• Proven ability to lead and scale high-performing teams while delivering under ambiguity and tight timelines
• Deep expertise in computer vision and multimodal AI, including experience with vision-language models (VLMs)
• Strong awareness of emerging attack vectors, including prompt injection, adversarial inputs, and model exploitation techniques
• Strong understanding of biometric systems, including face recognition, liveness detection, and anti-spoofing techniques
• 10+ years of experience in data science, machine learning, or applied AI, with a strong track record of building and deploying production systems
• Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred
• Proven ability to engage with customers and external stakeholders, clearly explaining complex AI systems, trade-offs, and outcomes to both technical and non-technical audiences