Work on a variety of problems that seek to better understand how customers use Autodesk products and what drives deeper adoption and usage of these products. Apply your quantitative analysis, data mining and knowledge of machine learning algorithms to build models that make sense of user needs, usage patterns, factors that drive deeper adoption and contribute to subscriber churn. As part of a technical team, actively work on the productization of machine learning pipelines i.e., define architecture and solutions for automating data extraction, data processing and the entire machine learning lifecycle; and actively participate in the maintenance and improvement of existing models/pipelines. Write algorithms to efficiently detect and analyze patterns in very large datasets in order to mine useful insights that could Influence product development, strategy and roadmap prioritization through the application of analysis. Leverage knowledge of the Data warehouse to develop dashboards and reports based on the analysis to convey insights to the stakeholders. Tackle complex problems requiring a creative mindset to find innovative and elegant solutions. Some telecommuting is permitted.