Business Data Scientist, Global Affairs

• Support the development and implementation of data driven solutions, with a focus on large language models (LLMs) and AI, to address business problems in Global Affairs, including providing trusted advice to policymakers, building an industry leading regulatory and compliance system, and protecting our ability to provide high quality products.
• Work with cross-functional teams to address AI/ML issues and opportunities, specifically leveraging LLMs for text analysis and knowledge extraction, and translating business needs into actionable analyses and evaluation metrics.
• Stay current on emerging trends and best practices in data science and business analytics.

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  
• 3 years of experience using analytics to solve product or business issues, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  
• Experience developing and deploying machine learning solutions, with a focus on Generative AI, Natural Language Processing (NLP), and Large Language Models (LLMs).

Preferred qualifications:

• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  
• 3 years of experience using analytics to solve product or business issues, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  
• Experience developing and deploying machine learning solutions, with a focus on Generative AI, Natural Language Processing (NLP), and Large Language Models (LLMs).