Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
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.
ResponsibilitiesServe 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.
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.
Socure is an equal opportunity employer that values diversity in all its forms within our company. 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.
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Skills Required
- Bachelor's degree in Computer Science, a related field, or equivalent experience
- 10+ years or equivalent professional experience
- Deep expertise in computer vision and machine learning
- Experience designing, deploying, and improving production ML systems at scale
- Technical leadership across multiple ML projects
- Experience mentoring and guiding experienced data scientists
- Strong understanding of the full ML lifecycle
- Strong technical judgment for complex and ambiguous modeling problems
- Excellent written and verbal communication skills
- 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 with enterprise customers or regulated environments
What We Do
Socure is the leading platform for digital identity trust. Its predictive analytics platform applies artificial intelligence and machine learning techniques with trusted online/offline data intelligence from email, phone, address, IP, device, velocity, and the broader internet to verify identities in real time. The company has more than 750 customers across the financial services, gaming, telecom, and e-commerce industries, including three of the top five banks, seven of the top 10 card issuers, three of the top MSBs, the top payroll provider, the top credit bureau, and over 100 of the largest and most successful FinTechs. Marquee customers include Chime, Varo Money, Public, Stash, and DraftKings. Socure has received numerous industry awards and accolades, including being named to Forbes America’s Best Startup Employers 2021, being awarded Best New Technology Introduced over the Last 12 Months – Data and Data Services at the 2020 American Financial Technology Awards (AFTAs), being ranked number 70 in Deloitte’s Technology Fast 500™, being listed as a Gartner Cool Vendor, being recognized by Forbes as one of the Top 25 Machine Learning Startups to Watch, being named to CB Insights: The FinTech 250, and being awarded Finovate’s Award for Best Use of AI/ML, to name a few.
Why Work With Us
Socure is a critical part of the infrastructure of the digital economy and what we do is critical to ensure the safety of anyone doing any sort of business on the internet. Because of our technology digital identity theft will be eradicated and more people will be included in the digital economy than ever before.
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