The Sr. Data Scientist will design and implement data science solutions, collaborate with teams, optimize data queries, and extract insights from unstructured data while enhancing investigative capabilities.
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.
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.
- 4 plus 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!
- 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
Top Skills
Amazon Web Services
Cypher
Docker
Graphml
Gremlin
Kubernetes
Python
SQL
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Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
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