Design Technology Data Scientist - Senior

The Global Design Technology Studio at Gensler is looking for a Senior Data Scientist to join our team. In this role you will bring crucial leadership and capability into our Design Technology team that is delivering innovative solutions connecting the data and outcomes from our designs to our practitioners, projects, and clients through a highly creative and collaborative culture. You will be required to demonstrate strong technical aptitude with traditional and cutting-edge methodologies for the collection, management, analysis, synthesis, and assessment of large datasets with an objective of identifying trends, insights, and opportunities for improvement.

What You Will Do:

• 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
• Support a fast-growing data-driven design community of practitioners in the firm
• Support and drive technical upskilling of project teams to implement sophisticated Power BI solutions on projects
• Participate in the convergence of multiple aspects of our overall digital strategy with data and insights generation in alignment with business goals