Design Technology Data Scientist

Your Role

Placed at the heart of Gensler s People + Process + Technology the Global Design Technology Studio drives the firm s digital transformation of our creative and project delivery practices throughout the globe. Our ultimate outcome is to co-create a design technology ecosystem that enables our practitioners to leverage the most advanced methodologies and technological solutions reaching a new level of creativity and delivering the most impactful designs to our clients. So, if you are a disruptive technologist that s ready to change the world with big and impactful ideas, we want you to join our growing and 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 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

Your Qualifications

• Bachelors 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.
• 10+ years of strong 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
• Track record of staying current with best practices and new technology solutions
• Proficiency with Azure services such as Azure Machine Learning, Azure Data bricks, 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
• Understanding of Data governance practices, data privacy regulations, and security best practices
• Proficiency with Data Visualization Tools like Power BI (DAX, Power Query, etc.) as well as tools for visualizing ML and Gen AI apps such as plotly, seaborn, d3 and / or stream lit.
• Experience with using Git + source control in a team environment
• Experience with Microsoft Fabric is a plus
• Experience with development of server less compute services like Azure Functions a plus
• Computer Vision experience is a plus
• Experience in REST API service development a plus
• C# as well as event-driven architectures is a plus
• Azure (or other cloud provider) certifications a plus