Socure - Head of Data Science
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Requirements
• 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. • identity verification, KYC/AML, fraud detection, or risk modeling • 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. • modern machine learning techniques • graph neural networks • Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents. • agentic system design • Strong experience working with heterogeneous data sources, including structured data, text, network/graph data, and third-party identity signals. • heterogeneous data sources • Demonstrated ability to drive ambiguous, high-impact problems to production, balancing speed, rigor, and business outcomes. • drive ambiguous, high-impact problems to production • Hands-on experience with Apache Spark and large-scale distributed data systems. • Apache Spark • 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. • engage with customers and external stakeholders • Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred. • customer-facing discussions, executive briefings, or public speaking engagements • What You'll Get • 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 • 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.
Responsibilities
• 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. • Own and drive the data science vision • Lead, build, and develop a high-performing team of data scientists and applied researchers, fostering a culture of technical excellence, speed, and accountability. • Lead, build, and develop a high-performing team • Architect and deploy advanced machine learning systems across identity verification, entity resolution, sanctions screening, and compliance risk modeling. • Architect and deploy advanced machine learning systems • 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. • Drive the development of graph-based intelligence • graph neural networks (GNNs) • Lead the design and implementation of agent-based AI systems, enabling automated decisioning, case triage, investigation workflows, and adaptive compliance strategies. • Lead the design and implementation of agent-based AI systems • Advance state-of-the-art modeling approaches, including deep learning, representation learning, graph learning, and multimodal fusion across structured and unstructured data. • Advance state-of-the-art modeling approaches • Drive innovation in Identity Graph and Prefill systems, improving identity resolution, linking, and enrichment capabilities across global datasets. • Drive innovation in Identity Graph and Prefill systems • Partner closely with Product, Engineering, Risk, and Go-to-Market teams to translate business needs into scalable AI solutions that deliver customer value. • Partner closely with Product, Engineering, Risk, and Go-to-Market teams • Own the end-to-end model lifecycle, including data strategy, feature engineering, model development, evaluation, deployment, and monitoring. • Own the end-to-end model lifecycle • Ensure alignment with regulatory and compliance requirements, balancing model performance with explainability, auditability, and governance. • Ensure alignment with regulatory and compliance requirements • Continuously raise the bar on experimentation and execution velocity, enabling rapid iteration while maintaining high standards for reliability and impact. • Continuously raise the bar on experimentation and execution velocity • 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. • Own customer communication and stakeholder management, • Represent Socure externally as a thought leader in identity, compliance, and applied AI. • Represent Socure externally
Benefits
• $250K – $300K • Offers Equity • Offers Bonus • This is a base salary range for this job based on the job requirements. • Base pay is only one component of Socure's compensation and our total rewards package includes equity, benefits, and an annual bonus or a commission plan. • annual bonus • commission plan. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • Please note: we have set up limits for applications for this role. • Candidates may not apply more than 3 times in any 30 day span for any job at Socure. • Candidates may not re-apply to the same role within 30 days. • or drag and drop here • Domain experience is required to be considered for this role. We really read these! • Unfortunately we are unable to hire employees residing in these states. • You may have to go into office 2-3 times a week. • San Francisco, CA • New York City, NY • Socure's Recruiting Privacy Policy • Decline to self-identify • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. • Hispanic or Latino • White (Not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. • White • Black or African American (Not Hispanic or Latino) - A person having origins in any of the black racial groups of Africa. • Black or African American • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. • Native Hawaiian or Other Pacific Islander • Asian (Not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. • Asian • American Indian or Alaska Native (Not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment. • American Indian or Alaska Native • Two or More Races (Not Hispanic or Latino) - All persons who identify with more than one of the above five races. • Two or More Races • Hispanic or Latino • White (Not Hispanic or Latino) • Black or African American (Not Hispanic or Latino) • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) • Asian (Not Hispanic or Latino) • American Indian or Alaska Native (Not Hispanic or Latino) • Two or More Races (Not Hispanic or Latino) • I identify as one or more of the classifications of protected veteran listed above • I am not a protected veteran
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