Dice
Supply Chain Data Scientist
Dice, Washington, District of Columbia, us, 20022
Dice is the leading career destination for tech experts at every stage of their careers. Our client, ABS, is seeking the following. Apply via Dice today!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.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 use 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 - TSEducation
Bachelor's DegreeKnowledge, 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.Working Conditions:
Work will generally be performed in an air-conditioned office environment. Work will be non-manual, but the incumbent must be able to walk and climb among equipment and structures. There may be an occasional need to lift up to 10 pounds.Equal Opportunity
ABS Bureau is committed to the equal employment opportunity of its employees and prohibits discrimination against any employee or qualified applicant based on race, color, creed, religion, national origin, sex, gender identity, age, disability, marital status, sexual orientation, citizenship status or veteran status, or other non-work-related characteristics that may be protected under the law of the Federal Government or specific state employment laws.
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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.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 use 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 - TSEducation
Bachelor's DegreeKnowledge, 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.Working Conditions:
Work will generally be performed in an air-conditioned office environment. Work will be non-manual, but the incumbent must be able to walk and climb among equipment and structures. There may be an occasional need to lift up to 10 pounds.Equal Opportunity
ABS Bureau is committed to the equal employment opportunity of its employees and prohibits discrimination against any employee or qualified applicant based on race, color, creed, religion, national origin, sex, gender identity, age, disability, marital status, sexual orientation, citizenship status or veteran status, or other non-work-related characteristics that may be protected under the law of the Federal Government or specific state employment laws.
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