Candidates must be able to work on a W-2.

Day to Day Responsibilities:

• Perform ad-hoc strategic analysis of structured and unstructured data across multiple data sources reflecting global real estate markets and the operations of real estate assets
• Develops data structures and pipelines to organize collect cleanse and standardize data in order to generate insights and addresses reporting needs.
• Experience working on LLMs Large language models will be able to work on creating foundation models and/or customized models.
• Defines data requirements and gathers and validates information using judgment and statistical tests.
• Well versed in knowledge of creating algorithms identifying patterns and insights from structured and unstructured data sets utilizing graphs trees and/or other data representation techniques as required
• Identifies opportunities to maximize data usage applying modeling and optimization methods to develop new strategies and improve business performance.
• Develops ad-hoc analytics and reporting based on analysis of existing data sources utilizing a variety of tools i.e. Google Looker Tableau.
• Exhibits analytical rigor judgment and ability to present a comprehensive 'data story' to multiple levels of the organization.
• Google AI/ML experience is a definite plus - like Vertex AI Document AI Dialog Flow