Socure

2 months ago

Head of Data Science - Identity & Compliance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Lead and scale the Data Science function for identity and compliance products (KYC, International KYC, Global Watchlist, Identity Graph) at Socure. Define the technical vision for production-scale AI, including graph neural networks, agent-based systems, and autonomous decisioning, while building and mentoring a high-performing team to deliver measurable improvements in accuracy, coverage, latency, and customer impact.

Location: San Francisco, New York, Miami, Seattle, Washington DC

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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.
•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.

Pay and Benefits

Salary: USD 250,000 - 300,000 annually

Equity and Bonus:Equity

Key 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.
•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.
•Hands-on proficiency in Python and modern ML frameworks (e.g., PyTorch), with experience in large-scale distributed data systems (e.g., Apache Spark).

Experience:FintechIdentityKYCAMLFraud detection

Education:Master's

Skills:LeadershipCommunicationProblem-solvingStrategic thinkingStakeholder management

Languages:English

Tech Stack:PythonPyTorchApache SparkGraph Neural NetworksGraph MLEntity resolution

Company Brief

Socure

Provides AI-driven digital identity verification and fraud prevention solutions that analyze device, behavioral, and contextual data to detect synthetic identities, stop account takeover, and enable secure onboarding for banks, fintechs, and enterprises.

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: New York, United States

Founded: 2012

Glassdoor: 4.1

Website LinkedIn

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Socure

2 months ago

Head of Data Science - Identity & Compliance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: San Francisco, New York, Miami, Seattle, Washington DC

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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.
•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.

Pay and Benefits

Salary: USD 250,000 - 300,000 annually

Equity and Bonus:Equity

Key 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.
•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.
•Hands-on proficiency in Python and modern ML frameworks (e.g., PyTorch), with experience in large-scale distributed data systems (e.g., Apache Spark).

Experience:FintechIdentityKYCAMLFraud detection

Education:Master's

Skills:LeadershipCommunicationProblem-solvingStrategic thinkingStakeholder management

Languages:English

Tech Stack:PythonPyTorchApache SparkGraph Neural NetworksGraph MLEntity resolution

Company Brief

Socure

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: New York, United States

Founded: 2012

Glassdoor: 4.1

Website LinkedIn