Supply Chain Data Scientist with Security Clearance, ABS Group, Arlington, VA
ABS Group -
Arlington, VA,
US
Supply Chain Data Scientist with Security Clearance
Date Posted: 2024-05-10
Job description
The Supply Chain Data Scientist supports CISA and NRMC activities to quantify the impacts of supply chain disruptions from the failure of vendors, assets, or systems and/or qualify impacts under a situation of compromise. The Data Scientist provides technical staff with competencies in data science and data engineering that will specifically focus on data science workflow automation and developing technical data artifacts.
Description for Internal Candidates The Supply Chain Data Scientist supports CISA and NRMC activities to quantify the impacts of supply chain disruptions from the failure of vendors, assets, or systems and/or qualify impacts under a situation of compromise. The Data Scientist provides technical staff with competencies in data science and data engineering that will specifically focus on data science workflow automation and developing technical data artifacts. Who We Are: At ABS Group, risk analysis is our foundation. ABS Group is a global professional services company with 100+ offices in 30+ countries. Our Global Government division, headquartered in Washington, DC, deploys cutting-edge technical expertise for federal agencies such as the Department of Homeland Security (DHS), Federal Emergency Management Agency (FEMA), the United States Coast Guard (USCG), and the Department of Transportation (DoT). What You Will Do: Work with data engineers/scientists to provide exploratory data visualization support for use in analytic products and deliverables compiled by partner task areas. Perform data quality audits around inconsistent data, incomplete data, business rule violations, incorrect data, etc.
Help collect metric requirements, document data needs, and write scripts to transform data and calculate metrics for us in visualization.
Evaluate, collect, and organize information and data relevant to developing or using analytic workflows to answer data-related questions specific to understanding the risk to supply chains from threats and hazards.
Develop the methodology to ensure deliverables can interoperate with code and models developed by other entities and meet the requirements of externally maintained systems.
Perform data processing activities that support the creation, curation, dissemination/information sharing, standardization, and decommissioning of various forms of data.
Support qualitative and quantitative techniques and processes used.
What You Will Need: Security Clearance Active Top-Secret Security Clearance - TS
Education Bachelor s Degree
Knowledge, Skills, and Abilities Must be eligible to retain Sensitive Compartmented Information (SCI) eligibility/access.
Experience with business intelligence and data visualization frameworks (e.g., Power BI, Tableau, etc.)
Familiarity with Python scripting language and associated visualization packages (e.g. Plotly, PyVis, Altair, Vega, etc.)
Demonstrate competencies in data science and data engineering.
Experience in data science workflow automation, systems engineering of data workflows, and development of technical data artifacts.
Experience in data acquisition from public and private sector data sources (including tasks focused on extracting, transforming, and Loading (ETL)) and data analysis requirement collection.
Reporting Relationships: Reports directly to a senior-level manager and has no direct reports.
Description for Internal Candidates The Supply Chain Data Scientist supports CISA and NRMC activities to quantify the impacts of supply chain disruptions from the failure of vendors, assets, or systems and/or qualify impacts under a situation of compromise. The Data Scientist provides technical staff with competencies in data science and data engineering that will specifically focus on data science workflow automation and developing technical data artifacts. Who We Are: At ABS Group, risk analysis is our foundation. ABS Group is a global professional services company with 100+ offices in 30+ countries. Our Global Government division, headquartered in Washington, DC, deploys cutting-edge technical expertise for federal agencies such as the Department of Homeland Security (DHS), Federal Emergency Management Agency (FEMA), the United States Coast Guard (USCG), and the Department of Transportation (DoT). What You Will Do: Work with data engineers/scientists to provide exploratory data visualization support for use in analytic products and deliverables compiled by partner task areas. Perform data quality audits around inconsistent data, incomplete data, business rule violations, incorrect data, etc.
Help collect metric requirements, document data needs, and write scripts to transform data and calculate metrics for us in visualization.
Evaluate, collect, and organize information and data relevant to developing or using analytic workflows to answer data-related questions specific to understanding the risk to supply chains from threats and hazards.
Develop the methodology to ensure deliverables can interoperate with code and models developed by other entities and meet the requirements of externally maintained systems.
Perform data processing activities that support the creation, curation, dissemination/information sharing, standardization, and decommissioning of various forms of data.
Support qualitative and quantitative techniques and processes used.
What You Will Need: Security Clearance Active Top-Secret Security Clearance - TS
Education Bachelor s Degree
Knowledge, Skills, and Abilities Must be eligible to retain Sensitive Compartmented Information (SCI) eligibility/access.
Experience with business intelligence and data visualization frameworks (e.g., Power BI, Tableau, etc.)
Familiarity with Python scripting language and associated visualization packages (e.g. Plotly, PyVis, Altair, Vega, etc.)
Demonstrate competencies in data science and data engineering.
Experience in data science workflow automation, systems engineering of data workflows, and development of technical data artifacts.
Experience in data acquisition from public and private sector data sources (including tasks focused on extracting, transforming, and Loading (ETL)) and data analysis requirement collection.
Reporting Relationships: Reports directly to a senior-level manager and has no direct reports.