Senior Data Scientist - Computer Vision
Role summary
The Senior Data Scientist - Computer Vision will develop and lead machine learning systems for identity and document image analysis within the digital identity verification industry. This role involves designing, developing, and maintaining deep learning models (CNNs, transformers) for tasks like classification, fraud detection, and authenticity verification. Responsibilities include end-to-end ML system management, from data analysis to deployment and monitoring. The position requires strong customer-facing technical communication skills to explain model performance and translate business needs into technical goals, collaborating closely with engineering and product teams to build scalable verification solutions. A Bachelor's degree in a related field and 8+ years of professional experience in computer vision are required.
- About Our Client:
The organization operates in the digital identity verification industry, addressing the challenge of securely validating identities in real time to prevent fraud. It provides identity trust infrastructure that impacts businesses, governments, and millions of people by verifying legitimate identities promptly and stopping fraudulent activity before it begins. The company focuses on building advanced solutions for the future of digital identity with a commitment to precision and responsibility.
- About the Opportunity:
The \*\*Senior Data Scientist - Computer Vision\*\* will develop and lead machine learning systems that analyze identity and document images at scale. This role is critical for delivering effective document verification solutions through technical ownership and customer collaboration. The position combines hands-on development of advanced models with responsibilities for communicating technical insights to stakeholders and ensuring the adoption of these solutions by customers.
- Responsibilities:
• Design, develop, and maintain deep learning models such as CNNs and transformer-based vision or multimodal architectures for document classification, fraud detection, image quality, field extraction, and authenticity verification
• Manage machine learning solutions end to end, including data analysis, model training, deployment, monitoring, and continuous improvements
• Serve as the technical contact for customers, leading deep dives, explaining model performance, and supporting evaluations or escalations
• Translate customer, regulatory, and business needs into clear modeling goals and communicate results to both technical and non-technical audiences
• Collaborate with engineering and product teams to build scalable, reliable document verification systems
- Requirements:
• Bachelor’s degree in Computer Science or related field, or equivalent experience, with 8+ years of professional experience and strong hands-on expertise in computer vision
• Experience designing, building, and maintaining production machine learning systems
• Strong written and verbal communication skills, including customer-facing technical experience
• Ability to translate technical details into business-focused explanations, emphasizing both “what” and “why”
• Skill in balancing technical accuracy with customer, business, and compliance requirements
- Pay Range and Compensation Package:
• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.
Equal Opportunity Statement:
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.
