Data Scientist

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.

• 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 Graph
  
  ML, 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.

• Familiarity with Natural Language Processing (NLP) techniques.
• Working knowledge of generative and agentic Artificial Intelligence models, usage, and training techniques.
• Expertise in blockchain architecture and cryptocurrency data analytics.
• Understanding of machine learning algorithms and their application in cybersecurity analytics.