Cydecor is seeking a Data Scientist to support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI) to enable decision-support and remain ahead of ever-evolving national security challenges.
Requirements
- Minimum 8 years of related experience with at least a portion of the experience within the last 2 years.
- Bachelor's degree in a related area from a college or university accredited by an agency recognized by the U.S. Department of Education.
- Demonstrated comprehensive mission knowledge and skills that affirms completion of all developmental training and related experiences.
- Demonstrated ability to communicate understanding from information that may be incomplete, indirect, highly complex, seemingly unrelated, and / or technically advanced.
- Ability to structure analytic questions based on trends in reporting and a range of analytic perspectives from other analysts, organizations, and intelligence disciplines.
- Working knowledge of coding and scripting, information science, mathematics, machine learning, visual analytic modeling tools, and relevant Standard Operating Procedures (SOPs)
- Experience with data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis
Responsibilities
- Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
- Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
- Creates various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
- Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
- Uses data visualization and graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
- Leverages knowledge of large data multi-INT analytics, ML, and automated predictive analytics.
- Designs, develops, and evaluates leading-edge algorithmic intelligence concepts, practices, and technologies for implementation into all-source analysis tradecraft, assessments, production, and dissemination.
Other
- Minimum 8 years of related experience with at least a portion of the experience within the last 2 years.
- Bachelor's degree in a related area from a college or university accredited by an agency recognized by the U.S. Department of Education.
- Active TS/SCI Security Clearance
- Demonstrated ability to work independently with minimal oversight and direction.
- Demonstrated ability to collaborate and work with other IC members on information sharing, driving collection, and addressing analytic disputes and conflict resolution.
