Bachelor's degree in Computer Science or related field, or equivalent experience, with 10+ years in computer vision and machine learning.
Proven experience designing, deploying, and improving production ML systems at scale.
Demonstrated technical leadership across multiple ML projects, mentoring other data scientists.
Strong understanding of the full ML lifecycle from data strategy to production monitoring.
Excellent written and verbal communication skills for influencing stakeholders.
Responsibilities
Serve as a domain expert in computer vision and machine learning for document verification projects.
Oversee the end-to-end ML lifecycle, including data selection, model development, and deployment.
Guide and mentor data scientists through complex modeling and production challenges.
Establish best practices and technical standards for model development and evaluation.
Identify technical risks and drive solutions to improve model performance and reliability.
Partner with engineering, product, and customers to translate needs into modeling strategies.
Communicate model behavior and performance clearly to technical and non-technical stakeholders.
Benefits
Opportunity to lead and shape innovative document verification solutions.
Collaborative environment with cross-functional teams including engineering and product.
Mentorship opportunities to guide and develop other data scientists.
Engagement with enterprise customers and exposure to regulated environments.
Full Job Description
Overview
We are seeking a Staff Data Scientist with deep expertise in computer vision and machine learning to provide technical leadership for our document verification solutions. This role is responsible for setting technical direction, guiding data scientists through complex challenges, and ensuring the quality of ML solutions across the full model lifecycle-from data strategy and model development to deployment, monitoring, and production usage.
You will serve as a domain expert and trusted technical advisor, raising the technical bar across the team while partnering with engineering, product, and customers to deliver effective document verification solutions. Responsibilities
Serve as a domain expert in computer vision and machine learning, providing technical direction and guidance across document verification projects.
Oversee the end-to-end ML lifecycle, including data selection, model development, evaluation, deployment, monitoring, and continuous improvement.
Guide and mentor data scientists through complex modeling and production challenges, helping teams make sound technical decisions and tradeoffs.
Establish best practices and technical standards for model development, evaluation, and production readiness.
Identify technical risks and opportunities across projects and drive solutions that improve model performance, scalability, and reliability.
Partner with engineering, product, and customers to translate business and customer needs into effective modeling strategies.
Communicate model behavior, performance, limitations, and technical decisions clearly to both technical and non-technical stakeholders.
Requirements
Bachelor's degree in Computer Science or a related field, or equivalent experience, with 10+ years or equivalent professional experience and deep expertise in computer vision and machine learning.
Proven experience designing, deploying, and improving production ML systems at scale.
Demonstrated technical leadership across multiple ML projects, including mentoring and guiding other experienced data scientists.
Strong understanding of the full ML lifecycle, from data strategy and model development through deployment and production monitoring.
Strong technical judgment and ability to navigate complex and ambiguous modeling problems.
Excellent written and verbal communication skills, including the ability to influence technical, business, and customer stakeholders.
Nice to Have
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.
Experience with transformer-based vision models, multimodal systems, foundation models, or LLMs.
Experience working with enterprise customers or in regulated environments.
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About Socure Inc.
Socure is a New York-based technology company that provides digital identity verification services. The company's products use artificial intelligence and machine learning to verify the identities of individuals in real-time. Socure's customers include financial institutions, online marketplaces, and other businesses that need to verify the identities of their users. The company was founded in 2012 by Sunil Madhu and Johnny Ayers and has raised over $70 million in funding to date.
