We are seeking a talented and experienced Sr. 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.

Work-Life Balance—Hybrid Position

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 blockchain analytics (Preferred).
• Strong SQL or other relational database query experience.
• In-depth knowledge of graph-structured data and analytics.
• Familiarity with Natural Language Processing (NLP) techniques.
• Background in financial and banking data analytics, including insights from data and unstructured data-information extraction.
• Expertise in blockchain architecture and cryptocurrency data analytics.
• Knowledge of GPS technology and its integration into analytical processes.
• Experience with cloud platforms, specifically Amazon Web Services (AWS).
• Understanding of machine learning algorithms and their application in cybersecurity analytics.

Qualifications:

• Bachelor's or advanced degree in Computer Science, Data Science, or a related field.
• 5 plus years’ experience in a similar role
• Strong communication and collaboration skills.
• Ability to work in a dynamic and fast-paced environment.