We are seeking a talented and experienced Data Scientist to join our team. As a Data Scientist, you will play a crucial role in designing, developing, and implementing data science solutions to empower investigators and enhance our capabilities in extracting meaningful information and identifying anomalous patterns of activity.

Responsibilities:

Collaborate with subject matter experts, team leads, and third-party vendors to define new features and functions for automation, aiding investigators in extracting meaningful information about a target and their surrounding network
Design, code, test, and document data science microservices primarily in Python
Support the integration of disparate bulk data sources into a unified database
Develop and optimize graph traversal queries and analytic pipelines to support analyst use cases, ensuring smooth transition from development to test and production environments
Extract valuable information from unstructured text, including SAR narratives and web scraped data related to cryptocurrency addresses and actors
Generate synthetic data for testing and development environments, as well as for the MM capstone training, adapting to evolving MM training and data holdings

Requirements

Proficient in Python programming
Experience with graph traversal languages such as Gremlin, Cypher, or GraphML, along with expertise in network analytics, including centrality, community detection, link prediction, pattern recognition, and/or blockchain analytics
Strong SQL or other relational database query experience
In-depth knowledge of graph-structured data and analytics
Knowledge of GPS technology and its integration into analytical processes
Experience with cloud platforms, specifically Amazon Web Services (AWS)
Familiarity with containerization platforms, including Docker and Kubernetes
Bachelor's or advanced degree in Computer Science, Data Science, or a related field
1-3 years' experience in a similar role
Strong communication and collaboration skills
Ability to work in a dynamic and fast-paced environment
An active Top Secret clearance is required

Great To Have! ( Preferred)

Familiarity with Natural Language Processing (NLP) techniques. Preferred
Working knowledge of generative and agentic Artificial Intelligence models, usage, and training techniques. Preferred.
Full-stack software engineering or development experience. Preferred.
Expertise in blockchain architecture and cryptocurrency data analytics. Preferred.
Understanding of machine learning algorithms and their application in cybersecurity analytics. Preferred

IND123

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Data Scientist