Socure

2 months ago

Head of Data Science - Document Verification & Biometrics

✓ 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 define the data science vision for AI-powered document verification, biometrics, and reusable identity systems; build and scale a high-performing team; architect state-of-the-art computer vision and multimodal systems; develop domain-specific foundation models; drive adoption of agentic systems and robust fraud detection.

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

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Own and define the data science vision for Document Verification, Biometrics, and Reusable ID, delivering step-function improvements in accuracy, speed, and user experience.
•Lead and scale a high-performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability.
•Architect and deploy state-of-the-art computer vision and multimodal systems, including vision-language models (VLMs), for document understanding, face matching, liveness detection, and identity verification.
•Drive the development of domain-specific foundation models tailored to identity, documents, and biometrics, leveraging large-scale proprietary datasets.
•Lead the transition to agentic systems, building intelligent agents that can reason over document and biometric signals, automate verification workflows, and adapt dynamically to new fraud patterns.

Pay and Benefits

Salary: USD 250,000 - 300,000 annually

Equity and Bonus:Equity

Perks:EquityBenefits

Key Requirements

•Advanced degree (MS/PhD preferred) in Computer Science, Electrical Engineering, Machine Learning, or a related field.
•10+ years of experience in data science, machine learning, or applied AI with a strong track record of building and deploying production systems.
•Deep expertise in computer vision and multimodal AI, including experience with vision-language models (VLMs).
•Proven experience building domain-specific foundation models or large-scale representation learning systems.
•Strong understanding of biometric systems, including face recognition, liveness detection, and anti-spoofing techniques.

Experience:10+ yearsAIMachine learningComputer visionBiometrics

Education:

Skills:LeadershipCommunicationStrategic thinkingTeam-buildingStakeholder management

Languages:English

Tech Stack:PythonPyTorchVision-language modelsVector databasesEmbedding-based retrievalMultimodal AI

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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 - Document Verification & Biometrics

✓ 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: New York, San Francisco, Seattle, Washington, Miami

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Own and define the data science vision for Document Verification, Biometrics, and Reusable ID, delivering step-function improvements in accuracy, speed, and user experience.
•Lead and scale a high-performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability.
•Architect and deploy state-of-the-art computer vision and multimodal systems, including vision-language models (VLMs), for document understanding, face matching, liveness detection, and identity verification.
•Drive the development of domain-specific foundation models tailored to identity, documents, and biometrics, leveraging large-scale proprietary datasets.
•Lead the transition to agentic systems, building intelligent agents that can reason over document and biometric signals, automate verification workflows, and adapt dynamically to new fraud patterns.

Pay and Benefits

Salary: USD 250,000 - 300,000 annually

Equity and Bonus:Equity

Perks:EquityBenefits

Key Requirements

•Advanced degree (MS/PhD preferred) in Computer Science, Electrical Engineering, Machine Learning, or a related field.
•10+ years of experience in data science, machine learning, or applied AI with a strong track record of building and deploying production systems.
•Deep expertise in computer vision and multimodal AI, including experience with vision-language models (VLMs).
•Proven experience building domain-specific foundation models or large-scale representation learning systems.
•Strong understanding of biometric systems, including face recognition, liveness detection, and anti-spoofing techniques.

Experience:10+ yearsAIMachine learningComputer visionBiometrics

Education:

Skills:LeadershipCommunicationStrategic thinkingTeam-buildingStakeholder management

Languages:English

Tech Stack:PythonPyTorchVision-language modelsVector databasesEmbedding-based retrievalMultimodal AI

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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