Head of Data Science - Identity & Compliance
Socure is hiring a Head of Data Science - Identity & Compliance in San Francisco, United States. It pays $250k-$300k a year and Level rates it ; you can apply on Socure.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting allows some remote work.
- Tools and skills the posting cites include PyTorch, Python and Gnn.
- Level classifies it as a lead role.
- Level lists 82 other open roles at Socure.
AI in this role
Lead the data science function to build and scale AI-powered identity, compliance, and autonomous multi-agent systems.
Why Socure?
Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
About the Role
We are seeking a highly driven and innovative leader to build and scale the next generation of AI-powered identity and compliance solutions. This role will lead the Data Science function across core identity and compliance products, including KYC, International KYC, Global Watchlist, Advanced Prefill, and Identity Graph.
In addition to advancing core modeling capabilities, you will spearhead the development of intelligent, agent-driven systems that automate and optimize identity decisioning, investigation, and compliance workflows. You will define the technical vision and execution strategy for identity at scale, pushing the boundaries of machine learning, graph intelligence, and autonomous systems to solve some of the hardest problems in digital identity and regulatory compliance.
This role requires a leader who sets a high bar for execution, thrives in ambiguity, and consistently translates complex, high-stakes problems into scalable, production-grade systems.
What You'll Do
Own and drive the data science vision for Identity & Compliance, delivering measurable improvements in accuracy, coverage, latency, and customer impact across all products in scope.
Lead, build, and develop a high-performing team of data scientists and applied researchers, fostering a culture of technical excellence, speed, and accountability.
Architect and deploy advanced machine learning systems across identity verification, entity resolution, sanctions screening, and compliance risk modeling.
Drive the development of graph-based intelligence, including large-scale graph neural networks (GNNs) and link analysis models to power Identity Graph, fraud detection, and watchlist matching.
Lead the design and implementation of agent-based AI systems, enabling automated decisioning, case triage, investigation workflows, and adaptive compliance strategies.
Advance state-of-the-art modeling approaches, including deep learning, representation learning, graph learning, and multimodal fusion across structured and unstructured data.
Drive innovation in Identity Graph and Prefill systems, improving identity resolution, linking, and enrichment capabilities across global datasets.
Partner closely with Product, Engineering, Risk, and Go-to-Market teams to translate business needs into scalable AI solutions that deliver customer value.
Own the end-to-end model lifecycle, including data strategy, feature engineering, model development, evaluation, deployment, and monitoring.
Ensure alignment with regulatory and compliance requirements, balancing model performance with explainability, auditability, and governance.
Continuously raise the bar on experimentation and execution velocity, enabling rapid iteration while maintaining high standards for reliability and impact.
Own customer communication and stakeholder management, serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong, long-term relationships.
Represent Socure externally as a thought leader in identity, compliance, and applied AI.
What You Bring
Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or a related field.
10+ years of experience in data science and machine learning, with a strong track record of delivering production-grade AI systems at scale.
Significant experience in identity verification, KYC/AML, fraud detection, or risk modeling in fintech or adjacent domains.
Proven leadership experience managing and scaling high-performing data science teams.
Deep expertise in modern machine learning techniques, including deep learning, graph neural networks, entity resolution, and large-scale data systems.
Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents.
Strong experience working with heterogeneous data sources, including structured data, text, network/graph data, and third-party identity signals.
Demonstrated ability to drive ambiguous, high-impact problems to production, balancing speed, rigor, and business outcomes.
Hands-on experience with Apache Spark and large-scale distributed data systems.
Proficiency in Python and modern ML frameworks (e.g., PyTorch), and familiarity with graph ML frameworks is a plus.
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.
Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred.
What You'll Get
Work on some of the most challenging and impactful problems in identity and fraud prevention
Build industry-defining AI systems at the intersection of graph intelligence and autonomous agents
Join a fast-moving, high-caliber team that values innovation and ownership
Competitive compensation, equity, and benefits
Opportunity to shape the future of digital identity at global scale
Please note that we can only hire within ~45 miles of San Francisco, New York, Seattle, Miami, and DC. We are unable to provide sponsorship support now or in the future.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
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How we rate this
Head of Data Science - Identity & Compliance at Socure rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
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- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where team leadership was part of your work. What did you do?
- Tell me about a project where agentic systems was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Machine learning, Data Science, Team Leadership, and Agentic Systems. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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