The Product Engineer for applied Data Science will perform a wide variety of statistical and analytical techniques using the ArcGIS API for Python and other Web GIS tools along with other open source or proprietary analytic tools and capabilities commonly employed across national security related problems. All work performed in this role is from the perspective of a customer-user in the role of a Data Scientist working on national security challenges and problems. From this perspective, the overarching goal of the Product Engineer is to create the right ArcGIS products and experiences to meet the analytic needs across the national security community. This work will include performing, documenting and teaching a wide variety of technical tasks, developing best practices, creating tutorials and documentation, identifying new technical requirements, and improving the analysis tools and APls.

ResponsibilitiesParticipate in the design, release and successful adoption of the Python API for ArcGIS across multiple industries and a particular focus on national security interests.
Develop sample integrations, tutorials and documents for working with Jupyter Notebooks and the ArcGIS System
Leverage open source as well as proprietary modules using Python
Perform bug fixes and maintenance tasks for relevant and related products
Write samples and guides using Jupyter Notebooks, SOK guides and blog posts
Design, test, release, and support ArcGIS software for geoprocessing and analysis to enhance overall product quality and applicability for supporting data science workflows and needs
Participate in the design of new functionality for future releases
Identify workflow, data sources and enhancements for existing analytic methods and techniques
Evangelize data science community to our software community through various venues such as user documentation, educational materials, social media and online content
Requirements
Ability to apply analytical rigor and statistical methods to data and be comfortable manipulating and analyzing complex, high-volume, and high-dimensionality data from varying sources.
Incumbents are effective communicators capable of independently driving issues to resolution and communicating insights to non-technical audiences.
Strong background in statistical theory and application
Industry experience with case analysis, requirement gathering, and documenting to enhance existing software
Experience with designing, documenting, and executing functional test plans, in a commercial software environment
Knowledge of mocking up user experience modifications to support new software features
2 or more years experience with geoprocessing and Python scripting
Knowledge of RDBMSs, such as Oracle, SQL Server, etc.
Bachelor’s or master’s in GIS, statistics, geoscience, or related field, depending on position level

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