Staff Data Scientist, DocV
Seattle, Washington, United StatesAll locationsSeattle, Washington, United StatesCalifornia - RemoteSacramento, California, United StatesSan Francisco, California, United StatesMiami, Florida, United StatesNew York, New York, United States Hybrid
$191,000–$230,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
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.
What you'll bring
- 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.
- 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.
- We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
- If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.