Socure

Head of Data Science - Identity & Compliance at Socure (San Francisco, CA)

Socure· San Francisco, CA· $250k–$300k·

Role details

Salary
$250k–$300k
Work type
Hybrid
Employment
Full-Time
Level
VP / Head of
Equity
Yes
Skills
Machine LearningDeep LearningGraph Neural NetworksEntity ResolutionLarge-scale Data SystemsAgentic System DesignApache SparkPythonPyTorchKYC/AMLFraud DetectionRisk Modeling
Benefits

Equity · Bonus · Competitive Compensation

Socure at a glance

AI-powered platform for digital identity verification, fraud prevention, and risk decisioning, used by enterprises and government agencies to verify consumers, businesses, and employees.

Socure runs RiskOS, a single AI-native decisioning platform that verifies identities and scores fraud, risk and compliance across the customer journey (onboarding, login, payments, account changes). It combines a large identity graph with fraud, biometric, device and behavioral signals so customers can approve more legitimate users while blocking fraud in real time.

$650M raised · latest: Series E · $450M · 2021 · backed by Accel, T. Rowe Price, Tiger Global, Bain Capital Ventures

Summary

Lead the Data Science function for Identity & Compliance, building AI-powered identity verification, and compliance solutions. Drive the development of intelligent, agent-driven systems using machine learning and graph intelligence to automate identity decisioning and fraud detection.

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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Why work at Socure

  • Remote-First Culture: Socure is a remote-first company with talent hubs in San Francisco, Seattle, New York, Washington DC, Miami, London, Chennai, Bangalore, and Hyderabad. Employees have flexibility and autonomy.
  • High-Impact Work: The company tackles hard problems in digital identity and fraud, which are central to trust in the digital world. The culture emphasizes high performance and purpose.
  • Benefits:
    • Market-competitive base salary and performance bonuses.
    • Equity for all full-time employees.
    • Comprehensive medical, dental, and vision insurance.
    • Mental health support.
    • 401(k) with company match.
    • Flexible PTO and generous paid parental leave.
    • Professional development stipend.
    • Work-from-home stipend and Deskpass access for coworking.
    • Hackathons to fuel innovation.
  • Growth & Development: Internal mobility and career pathing opportunities, access to the latest technology.
  • Team Size: Approximately 386 total employees (per Built In), with 100 open positions signaling strong growth.

Application questions