Analyze large and complex datasets to aid in cybercrime investigations, develop ETL processes, and collaborate closely with cybercrime investigators and forensic analysts to enhance investigative outcomes.
Requirements
- Proficiency in programming languages such as Python, R, or similar.
- Proficiency with ETL processes and data integration.
- Strong knowledge of data indexing, search, and discovery techniques.
- Proficiency in database systems and SQL.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Experience in developing and implementing algorithms and prototypes.
- Understanding of Large Language Models (LLMs) and their application to NLP problems.
Responsibilities
- Analyze large and complex datasets to identify patterns, anomalies, and trends that can aid in cybercrime investigations.
- Utilize advanced statistical methods and algorithms to extract actionable insights from data.
- Develop and implement ETL (Extract, Transform, Load) processes to ensure data is efficiently processed and integrated.
- Design and optimize data indexing and search processes to facilitate efficient data retrieval and discovery.
- Work closely with cybercrime investigators and forensic analysts to provide data-driven insights that enhance investigative outcomes.
- Create data visualizations and dashboards to present findings in an easily interpretable manner for both technical and non-technical stakeholders.
- Understand and apply Large Language Models (LLMs) to traditional Natural Language Processing (NLP) problems.
Other
- 5+ years
- 100% Onsite work (non-negotiable)
- US Citizenship Is Required
- DHS Suitability - nice to have
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences.
