Data Scientist (W2 Only)
Job Title: Data Scientist
Location: Richardson, TX (Hybrid)
Direct Client
Long term contract
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• Need only USC, GC & EADs on W2
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• Local consultants most preferred
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• 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
Years’ Experience Required:
Minimum of 5 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS including 3-5 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work. Google AI/ML experience is a definite plus.
• Education Requirements: HSD
• Systems/Software Proficiencies: Tableau, PowerBI, Google Looker is plus
• Certifications: Google Analytics nice to have
