Senior Data Scientist - Computer Vision

SocureCarson City, NV
1d

About The Position

We are seeking a Senior Data Scientist with deep expertise in computer vision and machine learning to join our document verification team. This role focuses on building and owning ML systems that analyze identity and document images at scale, combining hands-on technical leadership with direct customer engagement. You will act as both a technical owner, a trusted advisor, and a story teller, helping customers understand and adopt our document verification solutions.

Requirements

  • Bachelor’s degree in Computer Science or a related field, or equivalent experience, with 8+ years or equivalent professional experience and significant hands-on work in computer vision.
  • Proven experience designing, building, and maintaining production machine learning systems.
  • Excellent written and verbal communication skills, including experience in customer-facing technical roles.
  • Adept at translating technical details into business facing descriptions, focused on not only the “what” but the “why”.
  • Ability to balance technical rigor with customer, business, and compliance needs.

Nice To Haves

  • Master’s or Ph.D. in Computer Science, Machine Learning, Computer Vision, or a related field.
  • Experience with document verification, OCR, identity, fraud detection, or image forensics.
  • Exposure to transformer-based vision models, multimodal systems, or LLMs.
  • Experience working with enterprise customers or in regulated environments.

Responsibilities

  • Design, develop, and own advanced deep learning models, including CNNs and transformer-based vision or multimodal architectures, for document verification use cases such as document classification, fraud detection, image quality assessment, field extraction, and authenticity checks.
  • Own ML solutions end to end, from data analysis and model training to deployment, monitoring, and continuous improvement in production.
  • Act as a technical point of contact for customers, leading technical deep dives, explaining model behavior, performance metrics, and tradeoffs, and supporting customer evaluations or escalations.
  • Translate customer, regulatory, and business requirements into clear modeling objectives, and communicate results effectively to both technical and non-technical stakeholders.
  • Partner closely with engineering and product teams to deliver scalable, reliable document verification systems.
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