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 solution – NLP, regression, clustering, embedding, recommendation, Retrieval, Anomaly detection, LLM.Design, code, test, and document data science microservices – typically in Python, React, 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. Incorporate feedback from leadership and user base.
Extract meaningful information from unstructured text such as entities, identifiable attributes, and relationships. Types of text include but are not limited to, 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 Visualisation
Neo4J
Knowledge Graphs
Data Visualization: Tableau
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: Bachelors Degree