Senior Data Scientist - International eKYC, Identity Graph
New
S
SocureIdentity Trust
Remote - USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6+ years
- Required Skills
- PythonSQLMachine LearningSparkDatabricksPySpark
Requirements
- Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field, or equivalent practical experience.
- 6+ years of hands-on applied ML / data science experience (4+ with Ph.D.).
- Significant prior work on international or multi‑region products is strongly preferred.
- Expert‑level proficiency in Python.
- Expert‑level proficiency in SQL.
- Extensive experience in distributed data processing (Spark/PySpark, Databricks or similar) on very large datasets.
- Deep experience designing, training, and deploying models for classification, ranking, anomaly detection, and/or graph learning.
- Proven expertise with graph technologies (e.g., Neo4j, AWS Neptune, GraphFrames, DGL, PyTorch Geometric) and graph algorithms at scale.
Responsibilities
- Lead the design, development, and deployment of ML and graph-based algorithms for international entity resolution, identity trust scoring, and anomaly detection.
- Architect reusable matching and linking frameworks that work across multiple ID schemes and local name/address conventions.
- Develop probabilistic and rule‑augmented models that handle noisy, sparse, or partially labeled international data.
- Define and evolve the international extension of Socure’s identity graph: schema design, linkage strategies, quality tiers, and confidence scoring.
- Design and implement robust data quality and monitoring frameworks for international identity data.
- Build scalable approaches for handling linguistic and cultural variation in the identity graph and matching pipelines.
- Own experimentation strategy for major international eKYC initiatives, designing offline evaluations and online A/B tests.
- Define and maintain evaluation frameworks specific to international eKYC.
- Lead the evaluation and integration of international data vendors.
- Collaborate with engineering leaders to design scalable, reliable international data and model pipelines.
- Mentor Data Scientists and Senior Data Scientists on best practices for international modeling.
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