socure

Staff Data Scientist, DocV

Listed by employer · Checked

Posted within 60 days ·

  • hybrid
  • FullTime
  • AI and Data
  • Hub - San Francisco
  • Hub - Miami
  • Hub - New York
  • Hub - Seattle
Work arrangement
hybrid
Employment
FullTime
Stated compensation
USD 191,000–230,000 1 YEAR
Stated sponsorship
Not stated
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Requirements

2 with evidence7 unclear or unstated
Remote policy
hybrid
“Provider workplace type: hybrid”
From employer posting metadata
Minimum experience (years)
10
“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.”
See matched passage in original description ↓
Employment type
FullTime
Compensation
USD 191,000–230,000 1 YEAR
7 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Work authorization
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

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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.
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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. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook
Original formatting and links

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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