Data Science Innovation Specialist
19 hours ago
Gensler's Global Design Technology Studio is at the forefront of our firm's digital transformation, driving innovative solutions for creative and project delivery practices worldwide.
We're a dynamic team that thrives on co-creation, leveraging advanced methodologies and technological solutions to deliver impactful designs for our clients.
Our GoalJoin us in shaping the future of design technology by applying your expertise as a Data Scientist. You'll be instrumental in developing and deploying machine learning classification algorithms, exploring trends, and defining insights aligned with business and client needs.
You will also define and develop data pipelines in MS Azure, delivering data and insights via Web APIs into data visualization platforms and other Gensler IP in partnership with Data Engineering colleagues.
Your Key Responsibilities- Collaborate with the Data team to train and deploy ML classification algorithms using 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.
- Develop data pipelines in MS Azure to deliver data and insights via Web APIs into data visualization platforms and other Gensler IP.
- Collaborate with studio colleagues on strategies and 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 provide recommendations on build vs. buy strategies.
- Support R&D of future Strategic Insights initiatives.
- Support a fast-growing data-driven design community of practitioners within the firm.
- Drive technical upskilling of project teams to implement sophisticated PowerBI solutions on projects.
We are seeking an experienced Data Scientist with 10+ years of strong practical experience in statistical analysis, machine learning, and/or predictive modeling (AEC Industry experience a plus).
The ideal candidate should possess a 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.
A track record of staying current with best practices and new technology solutions is essential, as well as 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.
Proficiency in SQL, Python, and R programming languages for data manipulation, analysis, and model development is required, along with experience with various machine learning & generative AI technologies, performance evaluation, and creating end-to-end ML pipelines in Azure.
Benefits and CompensationWe offer a competitive compensation package, including a base salary range of $120-130k plus bonuses and benefits in Los Angeles, contingent on relevant experience.
In San Jose and San Francisco, the target base compensation range is $140-150k plus bonuses and benefits, also contingent on relevant experience.
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