TechOp Solutions International
Sr. Data Scientist
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.
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.