Head of Data Science - Identity & Compliance
Hybrid - San Francisco, CA · Hybrid - Seattle, WA · Hybrid - New York, NY · Hybrid - Miami, FL · San Francisco, United States
- Pay
- Pay not listedSimilar roles state $153K–$225K
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
AI and Data — team source
Department: AI and Data
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
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.
Read the full posting
What you’ll work on
Full postingWe are seeking a highly driven and innovative leader to build and scale the next generation of AI-powered identity and compliance solutions.
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.
Set the data science vision and execution strategy for identity and compliance products
Lead, build and develop a team of data scientists and applied researchers
Architect and deploy ML systems for identity verification, entity resolution and sanctions screening
Lead design of agent-based AI systems for decisioning, case triage and investigations
Drive graph-based intelligence, including graph neural networks, for Identity Graph and watchlist matching
From the employer’s posting
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.
Own and drive the data science vision
Lead, build, and develop a high-performing team
Architect and deploy advanced machine learning systems
Lead the design and implementation of agent-based AI systems
Drive the development of graph-based intelligence
What you’ll bring
All qualificationsCore experience
- 10+ years of experience in data science and machine learning, with a strong track record of delivering production-grade AI systems at scale.
- 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.
Preferred experience
- Proficiency in Python and modern ML frameworks (e.g., PyTorch), and familiarity with graph ML frameworks is a plus.
- Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred.
Qualification wording
10+ years of experience in data science and machine learning, with a strong track record of delivering production-grade AI systems at scale.
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.
Proficiency in Python and modern ML frameworks (e.g., PyTorch), and familiarity with graph ML frameworks is a plus.
Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred.
Education & alternatives
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.
Tools in this posting
- Python
- Spark
- PyTorch
Source — Tool mentions in context
- 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.
- 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.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 149 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 149 days ago
- Recorded sightings
- 210
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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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- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- 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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