Data Scientist (Supply Chain Risk Management)

## Data Scientist (Supply Chain Risk Management)

We are seeking a skilled Data Scientist to enhance our supply chain risk management capabilities through advanced analytical methods.

• *Key Responsibilities:**
• Apply Artificial Intelligence/Machine Learning (AI/ML) and scientific methods to identify, predict, and assess supply chains, associated risks, vulnerabilities, and mitigations.
• Utilize scientific methods, including regression, decision tree analytics, probability and game theory, and statistical analysis, to research and improve supply chain risk assessment processes.
• Transform existing or develop new computational and analytical methods to enhance application methodologies and strategies.
• Provide recommendations to improve precision in the Agency's Supply Chain operations, focusing on analytical results, data utilization, and decision-making capabilities.
• *Qualifications:**
• **Education:** Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or a directly related field; or an equivalent combination of education (30 semester hours in a relevant field) and experience.
• **Experience:** One year of specialized experience applying AI/ML and scientific methods to supply chain risk management, equivalent to a GS-13 level in federal service or a comparable role in the private sector.
• **Skills:** Demonstrated proficiency in scientific methods such as regression, decision tree analytics, probability, game theory, and statistical analysis.
• Ability to develop and implement new analytical methodologies.
• Creditable experience includes both paid and unpaid work (e.g., volunteer service).