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, 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 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:

Bachelors Degree

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