Level

Socure

Staff Data Scientist, DocV

AI in this role

Provides technical leadership for document verification machine learning solutions across the full model lifecycle.

pythonpytorch
computer-vision

Why Socure?

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.

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.

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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How we rate this

Staff Data Scientist, DocV at Socure rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer VisionPythonPyTorch

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Walk me through how you've used Python in your day-to-day work.
  3. What are the limits of PyTorch that you've run into, and how did you work around them?
  4. How would you decide a model or AI system is ready to ship?
  5. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: Computer Vision, Python, and PyTorch. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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