Socure Logo

Socure

Staff Data Scientist, DocV

Posted 17 Days Ago
Remote or Hybrid
Hiring Remotely in Seattle, WA, USA
191K-230K Annually
Expert/Leader
Remote or Hybrid
Hiring Remotely in Seattle, WA, USA
191K-230K Annually
Expert/Leader
Provides technical leadership for document verification machine learning solutions. Oversees the full ML lifecycle, including data strategy, model development, evaluation, deployment, monitoring, and improvement. Mentors data scientists, establishes technical standards, identifies risks, and improves model performance, scalability, and reliability. Partners with engineering, product, and customers to translate needs into modeling strategies and communicates technical decisions to diverse stakeholders.
The summary above was generated by AI
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.

Follow Us!

YouTube | LinkedIn | X (Twitter) | Facebook

Similar Jobs

33 Minutes Ago
Remote or Hybrid
US
107K-150K Annually
Senior level
107K-150K Annually
Senior level
Information Technology
Leads the design, integration, and delivery of production-grade AI, generative AI, agentic AI, and MLOps solutions for clients. Serves as technical lead, translates requirements into scalable architectures, mentors engineers, manages technical risks and timelines, supports sales proposals, and presents recommendations to stakeholders. Responsibilities include application integration, security, observability, evaluation, model serving, documentation, testing, and operational readiness.
Top Skills: Agentic AiAi GatewaysAPIsAutomated TestingCi/CdContainersEvaluation FrameworksGitGpu InfrastructureHugging FaceKubernetesMlopsModel Lifecycle PlatformsModel-Serving PlatformsNvidia BlueprintsNvidia NimObservability FrameworksPythonPyTorchRetrieval-Augmented GenerationVector DatabasesVector Search
33 Minutes Ago
Remote or Hybrid
US
132K-193K Annually
Expert/Leader
132K-193K Annually
Expert/Leader
Information Technology
Leads ServiceNow CSM and TPSM process design for customer service, client onboarding, managed services, account management, and technology service delivery. Facilitates discovery and future-state workshops, translates requirements into functional designs and user stories, defines onboarding workflows, and aligns stakeholders with ServiceNow best practices. Provides functional leadership across customer management, case handling, entitlements, service relationships, integrations, CSDM, and ITSM. Supports prioritization, UAT, business readiness, roadmap decisions, and traceability across a large enterprise transformation.
Top Skills: Agent WorkspaceCmdbCsdmCustomer Service Management (Csm)IntegrationhubItomItsmService Portfolio Management (Spm)ServicenowTechnology Provider Service Management (Tpsm)
33 Minutes Ago
Remote or Hybrid
US
168K-240K Annually
Expert/Leader
168K-240K Annually
Expert/Leader
Information Technology
Leads CDW’s AI advisory consulting portfolio, including strategy, governance, operating models, adoption, roadmaps, methodologies, and delivery standards. Advises customers and executives, facilitates discovery and workshops, develops proposals and business cases, supports presales pursuits, and partners with technical teams on integrated AI solutions. Oversees delivery quality, risk management, staffing, and customer outcomes while mentoring consulting and presales professionals.
Top Skills: Ai GovernanceAnalyticsArtificial Intelligence (Ai)Data FoundationsData ScienceEnterprise ArchitectureMachine Learning

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account