48627 Data Scientist

Data Scientist What you'll work on: Work with subject matter experts, team leads, and third-party vendors to define new data science prototypes. Build AI solutions – NLP, regression, clustering, embedding, recommendation, retrieval, anomaly detection, LLM. Design, code, test, and document data science microservices – typically in Python, React, and Docker. Support the mapping of disparate bulk data sources to a unified database. Create graph traversal queries and analytic pipelines to support analyst use cases. Support transitioning custom pipeline from dev to test to production, incorporating feedback from leadership and user base. Extract meaningful information from unstructured text such as entities, identifiable attributes, and relationships, including SAR narratives and web scraped data. Your areas of expertise: Python React R Tableau/Qlik VectorDB Gremlin/Cypher/GraphML/Neo4J or other experience with graph traversals Network analytics such as centrality, community detection, link prediction, pattern recognition, blockchain analytics SQL or other relational database query experience Graph structured data and analytics NLP Required Skills: Data Visualization: Qlik Tableau Databases Python (Programming Language) SQL (Structured Query Language) Anomaly Detection Data Science Data Visualization Neo4J Knowledge Graphs Natural Language Processing (NLP) Day-to-day Responsibilities: Interface with the team and clients in group and one-on-one settings to determine program technical development needs and execute on them. Contribute to daily stand-up meetings. Expected Deliverables: Working visualizations, prototype analytics, documentation. Education: Bachelor's Degree

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