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.
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.
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 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.
1-3 years of experience in a similar role
Strong communication and collaboration skills.
Ability to work in a dynamic and fast-paced environment.