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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.

• 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

• 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