Staff Data Scientist (DocV)

Join our team as a Staff Data Scientist specializing in document verification solutions. In this role, you will provide technical leadership, guide data scientists through complex challenges, and ensure the quality of machine learning solutions throughout the entire model lifecycle. You will serve as a domain expert in computer vision and machine learning, overseeing the end-to-end ML lifecycle and establishing best practices for model development and evaluation. Additionally, you will partner with engineering, product, and customers to translate business needs into effective modeling strategies. This position offers a comprehensive benefits package, including health coverage, generous parental leave, a 401k plan, and the flexibility to work remotely.

• Oversight of the end-to-end machine learning lifecycle, including data selection, model development, evaluation, deployment, monitoring, and continuous improvement.
• Guidance and mentorship to data scientists through complex modeling and production challenges, helping teams make sound technical decisions and tradeoffs.
• Establishment of best practices and technical standards for model development, evaluation, and production readiness.

• Proven experience designing, deploying, and improving production ML systems at scale
• 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
• 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
• Strong understanding of the full ML lifecycle, from data strategy and model development through deployment and production monitoring
• Demonstrated technical leadership across multiple ML projects, including mentoring and guiding other experienced data scientists
• 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