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Staff Data Scientist - Identity Graph

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Socure

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

170000.00 - 205000.00 USD / Year
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Job Description:

We are seeking a Staff Data Scientist to lead advanced data science and R&D efforts for the ID Graph, Socure’s foundational platform powering identity intelligence across our product ecosystem. This Staff-level role operates at platform scale, with responsibility extending beyond a single model or pipeline. You will work at the intersection of graph modeling, machine learning, and product innovation, collaborating closely with Engineering, Product Management, and multiple product teams. The ID Graph is the core intelligence backbone for many downstream products, and your work will directly impact Socure’s ability to deliver trusted, scalable, and explainable identity solutions.

Job Responsibility:

  • Lead the evaluation and continuous improvement of entity resolution and entity linking pipelines
  • Debug new builds, identify anomalies, and recommend modeling or system-level improvements
  • Define, implement, and maintain scalable performance and quality metrics, leveraging automation and LLM-based approaches where appropriate
  • Partner with Engineering to optimize entity linking and ranking systems using Learning-to-Rank and related techniques
  • Design methods to assess and classify entity confidence and quality across the graph
  • Design and implement a comprehensive data quality framework for graph-based identity data
  • Translate abstract quality concepts (e.g., reliability, stability, consistency) into measurable signals
  • Use data quality insights to guide modeling decisions, experimentation strategy, and product prioritization
  • Identify and operationalize generalized, high-impact predictive signals derived from graph structure, temporal dynamics, and relational patterns
  • Develop scalable approaches to link prediction, label propagation, and semi-supervised learning within the ID Graph
  • Explore and evaluate advanced graph modeling techniques, including graph-based ML, knowledge graph methods, and Graph Neural Networks (GNNs), when appropriate
  • Focus on durable abstractions rather than one-off features, ensuring solutions are explainable, compliant, and reusable across multiple products
  • Collaborate closely with Engineering, Product Management, Compliance, and downstream product teams
  • Act as a technical leader within the Identity organization, influencing modeling standards, experimentation rigor, and best practices
  • Translate complex technical findings into clear insights and recommendations for both technical and non-technical stakeholders
  • Support the launch of new product capabilities built on top of the ID Graph

Requirements:

  • Strong proficiency in Python and PySpark
  • Deep experience with: Classification models
  • Learning-to-Rank
  • Anomaly Detection
  • Statistical Modeling
  • Experience building and maintaining production-grade ML systems at scale
  • Hands-on experience with Databricks
  • Familiarity with graph databases and query languages such as NeptuneDB and OpenCypher
  • Experience with graph processing frameworks (e.g., GraphFrames)
  • Master’s or PhD in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field
  • 5+ years of experience in applied data science, machine learning, or artificial intelligence, with a focus on graph-based modeling and large-scale data systems

Nice to have:

  • Experience applying LLMs for evaluation, automation, or signal discovery
  • Familiarity with Knowledge Graphs and Graph Neural Networks (GNNs)
What we offer:
  • Offers Equity
  • Offers Bonus
  • Benefits

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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