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LeadFull-timePythonRustMachine LearningData ScienceGitML
Salary Range
$165,750 - $224,250 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
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.
Key Responsibilities
- →Lead the evaluation and continuous improvement of entity resolution and entity linking pipelines
- →Design and implement a comprehensive data quality framework for graph-based identity data
- →Identify and operationalize high-impact predictive signals derived from graph structure
- →Collaborate closely with Engineering, Product Management, and multiple product teams
- →Act as a technical leader within the Identity organization
Requirements
- ✓Strong proficiency in Python and PySpark
- ✓Deep experience with classification models, Learning-to-Rank, Anomaly Detection, and Statistical Modeling
- ✓Hands-on experience with Databricks
- ✓Familiarity with graph databases and query languages
- ✓5+ years of experience in applied data science with focus on graph-based modeling
- ✓Summary Bullets
- ✓Lead advanced data science and R&D efforts for Socure's ID Graph platform
- ✓Develop scalable approaches to link prediction and semi-supervised learning
- ✓Design methods to assess entity confidence and quality across the graph
- ✓Implement data quality frameworks for graph-based identity data
- ✓Collaborate with cross-functional teams to optimize entity linking systems
- ✓Explore advanced graph modeling techniques including GNNs
- ✓Mentor peers and influence technical standards and best practices
- ✓Requirement Bullets
- ✓Strong proficiency in Python and PySpark
- ✓Deep experience with classification models, Learning-to-Rank, Anomaly Detection, and Statistical Modeling
- ✓Hands-on experience with Databricks
- ✓Familiarity with graph databases and query languages
- ✓Experience building production-grade ML systems at scale
- ✓Master's or PhD in Computer Science or related field
- ✓5+ years experience in applied data science with focus on graph-based modeling
- ✓Benefit Bullets
- ✓[]
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