Gensler
Overview
Design Technology Data Scientist - Senior at Gensler. Placed at the heart of Gensler’s Global Design Technology Studio, the team drives the firm’s digital transformation of design delivery practices. The role focuses on leveraging advanced methodologies and technologies to co-create a design technology ecosystem that delivers impactful designs to clients. We seek a disruptive technologist ready to contribute big and meaningful ideas to an innovative, award-winning team. What You Will Do
Collaborate with the Data team to develop, train and deploy ML classification algorithms leveraging a continuous flow of data from data-rich design authoring tools. Leverage outcomes of trained data models to explore trends and define insights aligned 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 and innovative solutions to drive insights back into early design stages. Research opportunities and integrate additional datasets such as geospatial data, proprietary data, and operational data. Research emerging technologies in the AEC space and advise on build vs. buy strategies. Support R&D of future Strategic Insights initiatives. Support a fast-growing data-driven design community and upskill project teams to implement sophisticated PowerBI solutions on projects. Participate in the convergence of multiple aspects of the firm’s digital strategy with data and insights generation aligned to business goals. Your Qualifications
Bachelor's or Master’s degree in Data Science, Statistics, Applied Math, or Computer Science, with equivalent practical experience in data, data engineering, or data science. 15+ years of practical experience in statistical analysis, machine learning, and/or predictive modeling (AEC industry experience a plus). Ability to work in a highly creative environment and collaborate on solutions to complex problems. Proficiency with Azure services (Azure Machine Learning, Azure Databricks, Azure Data Factory) and data sources (SQL, NoSQL, Cosmos DB, blob storage, vector databases). Proficiency in SQL, Python and R (or equivalent) for data manipulation, analysis, and model development. Experience with machine learning and generative AI technologies, end-to-end ML pipelines in Azure, and LLMs/NLP. Understanding of data governance, data privacy regulations, and security best practices. Proficiency with data visualization tools (Power BI, DAX, Power Query) and visualization of ML/GenAI apps (Plotly, Seaborn, D3, Streamlit). Experience with Git and source control; experience with Microsoft Fabric is a plus. Experience with serverless compute (Azure Functions) is a plus; computer vision and REST API development experience are pluses; C# and event-driven architectures are a plus. Azure or other cloud provider certifications are a plus. Life at Gensler
At Gensler, we are committed to enjoying life as we deliver best-in-class design. Our offices reflect our people’s diverse interests with activities such as curated art exhibits, internal design competitions, and Well-being Awareness Week. We encourage a healthy, balanced life with comprehensive benefits including medical, dental, vision, disability, wellness programs, flex spending, paid holidays, paid time off, a 401k, profit sharing, employee stock ownership, and annual bonus opportunities. We also offer reimbursement for professional licenses, professional development and tuition for eligible programs. Seniority level
Not Applicable Employment type
Full-time Job function
Engineering and Information Technology Industries
Architecture and Planning Design Services
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Design Technology Data Scientist - Senior at Gensler. Placed at the heart of Gensler’s Global Design Technology Studio, the team drives the firm’s digital transformation of design delivery practices. The role focuses on leveraging advanced methodologies and technologies to co-create a design technology ecosystem that delivers impactful designs to clients. We seek a disruptive technologist ready to contribute big and meaningful ideas to an innovative, award-winning team. What You Will Do
Collaborate with the Data team to develop, train and deploy ML classification algorithms leveraging a continuous flow of data from data-rich design authoring tools. Leverage outcomes of trained data models to explore trends and define insights aligned 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 and innovative solutions to drive insights back into early design stages. Research opportunities and integrate additional datasets such as geospatial data, proprietary data, and operational data. Research emerging technologies in the AEC space and advise on build vs. buy strategies. Support R&D of future Strategic Insights initiatives. Support a fast-growing data-driven design community and upskill project teams to implement sophisticated PowerBI solutions on projects. Participate in the convergence of multiple aspects of the firm’s digital strategy with data and insights generation aligned to business goals. Your Qualifications
Bachelor's or Master’s degree in Data Science, Statistics, Applied Math, or Computer Science, with equivalent practical experience in data, data engineering, or data science. 15+ years of practical experience in statistical analysis, machine learning, and/or predictive modeling (AEC industry experience a plus). Ability to work in a highly creative environment and collaborate on solutions to complex problems. Proficiency with Azure services (Azure Machine Learning, Azure Databricks, Azure Data Factory) and data sources (SQL, NoSQL, Cosmos DB, blob storage, vector databases). Proficiency in SQL, Python and R (or equivalent) for data manipulation, analysis, and model development. Experience with machine learning and generative AI technologies, end-to-end ML pipelines in Azure, and LLMs/NLP. Understanding of data governance, data privacy regulations, and security best practices. Proficiency with data visualization tools (Power BI, DAX, Power Query) and visualization of ML/GenAI apps (Plotly, Seaborn, D3, Streamlit). Experience with Git and source control; experience with Microsoft Fabric is a plus. Experience with serverless compute (Azure Functions) is a plus; computer vision and REST API development experience are pluses; C# and event-driven architectures are a plus. Azure or other cloud provider certifications are a plus. Life at Gensler
At Gensler, we are committed to enjoying life as we deliver best-in-class design. Our offices reflect our people’s diverse interests with activities such as curated art exhibits, internal design competitions, and Well-being Awareness Week. We encourage a healthy, balanced life with comprehensive benefits including medical, dental, vision, disability, wellness programs, flex spending, paid holidays, paid time off, a 401k, profit sharing, employee stock ownership, and annual bonus opportunities. We also offer reimbursement for professional licenses, professional development and tuition for eligible programs. Seniority level
Not Applicable Employment type
Full-time Job function
Engineering and Information Technology Industries
Architecture and Planning Design Services
#J-18808-Ljbffr