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Data Scientist
Company | Gensler |
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Location | New York, NY, USA |
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Salary | $90000 – $120000 |
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Type | Full-Time |
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Degrees | Bachelor’s, Master’s |
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Experience Level | Mid Level, Senior |
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Requirements
- 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.
- 3-5 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 in SQL and Python (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
- 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 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
- Support a fast-growing data-driven design community of practitioners in the region
- Collaborate with studio colleagues on strategies & innovative solutions for driving insights back into early stages of the design process
- 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
- 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
- Participate in the convergence of multiple aspects of our overall digital strategy with data and insights generation in alignment with business goals
Preferred Qualifications
- Experience with Azure and Microsoft Fabric are a plus
- Experience with development of serverless 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