Product Engineer - Data Science

Esri   •  

Arlington, VA

Industry: Technology

  •  

Less than 5 years

Posted 160 days ago

This job is no longer available.

RESPONSIBILITIES

  • Participate 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