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Data Scientist
Job summary
A leading technology firm is seeking a talented Data Scientist to design and implement data science solutions. The role requires proficiency in Python, experience with graph traversal languages, and strong SQL skills. Candidates must hold a relevant degree and possess an active Top Secret clearance. This position offers the opportunity to work on innovative analytical projects in a dynamic environment.
Qualifications
- 1-3 years of experience in a similar role.
- Active Top Secret clearance required.
- Experience integrating GPS technology into analytical processes.
Responsibilities
- Collaborate with teams to define new features for automation.
- Design, code, test, and document data science microservices.
- Support integration of disparate data sources into a unified database.
- Develop and optimize graph traversal queries for analyst use cases.
- Extract information from unstructured text related to analysis.
Skills
Education
Tools
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 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.
- 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. 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
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.