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Gensler's Global Design Technology Studio aims to digitally transform creative and project delivery practices by developing a design technology ecosystem that leverages advanced methodologies and technological solutions to enhance creativity and deliver impactful designs.

Requirements

• 15+ years of strong practical experience in statistical analysis, machine learning, and / or predictive modeling (AEC Industry experience a plus)
• Proficiency with Azure services such as Azure Machine Learning, Azure Databricks, and Azure Data Factory leveraging data sources from SQL and No SQL data sources such as graph, Cosmos DB, JSON in Blob Storage, and vector databases
• Proficiency in SQL, Python and R (or equivalent) programming languages for data manipulation, analysis, and model development
• Experience with various machine learning & generative ai technologies, performance evaluation and creating end-to-end ML pipelines in Azure
• Experience with generative AI models & development frameworks, specifically around LLMs and NLP
• Proficiency with Data Visualization Tools like PowerBI (DAX, Power Query, etc.) as well as tools for visualizing ML and GenAI apps such as plotly, seaborn, d3 and / or streamlit.
• Experience with using Git + source control in a team environment

Responsibilities

• Collaborate with the Data team to develop, train and deploy ML classification algorithms leveraging a continuous flow of data originating and extracted from data-rich design authoring tools
• Leverage the outcomes of trained data models to explore trends and define insights in alignment with business and client needs
• Define and develop data pipelines in MS Azure to deliver data and insights via Web APIs into data visualization platforms and other Gensler IP in partnership with Data Engineering colleagues
• Collaborate with studio colleagues on strategies & innovative solutions for driving insights back into early stages of the design process
• Research opportunities and implement the integration and correlation of additional datasets such as geospatial data, proprietary data, and operational data
• Research emerging technologies in the AEC space and make recommendations on build vs. buy strategies
• Support R&D of future Strategic Insights initiatives

Other

• Ability to work in a highly creative environment and collaborate on solutions to complex problems
• Track record of staying current with best practices and new technology solutions
• Bachelor's or Master's degree in Data Science, Statistics, Applied Math, or Computer Science, along with equivalent practical experience in Applied Data, Data Engineering, and or Data Science.
• Please note, you would be required to commute into the office 5 days per week.