Esri

  • ArcGIS Data Scientist Product Engineer - Living Atlas

    Location US-CA-Redlands
    Job Category
    ArcGIS Product Engineering
    Job ID
    2018-8377
  • Overview

    Do you enjoy turning data into meaningful information products to make a positive difference in the world? Are you the person who others come to when they need ArcGIS help to clean or transform data? If so, you should consider working at Esri to help build the ArcGIS Living Atlas of the World. The Living Atlas is the largest geospatial data collection in the world, is widely used across the ArcGIS platform, and is fast becoming the backbone of web GIS. As a data scientist for the team, you will be involved in building and creating new KPIs for the planet using live feed information from satellites, real time sensors, weather models, and opendata sources.

     

    Responsibilities:

    • Collaborate with a small team to develop, curate, and publish global datasets as web services to support mapping and analysis
    • Integrate new data sources, update existing services with new data, and help innovate new methodologies for publishing and consuming the Living Atlas services
    • Investigate emerging trends and techniques for modeling live feed information to better serve the needs of the ArcGIS community
    • Build and curate content that enables the GIS community to work effectively, solve problems, and make better decisions
    • Prepare documentation, blogs, and white papers on analytic and publishing methods and trends
    • Team with customers such as NOAA, USDA, NCAR, NASA, and other key content building organizations to help bring their data to life in the Living Atlas
    • Support Esri’s development teams to integrate Living Atlas services across the ArcGIS platform

    Requirements

    • 1-3 years of experience with high level programming languages such as Python or Java
    • 2+ years of experience with ArcGIS software, particularly geoprocessing tools in the data management, analysis, remote sensing, spatial analyst, and statistical toolboxes
    • Strong communication skills; ability to effectively present and document relevant details about the data behind Living Atlas services to users
    • Experience managing and analyzing large, complex datasets
    • Ability to design and implement production workflows for real time data updates
    • Knowledge of the latest theories, concepts, and statistical methods for classification and evaluation of geographic data, including uncertainty and confidence measures
    • Understanding of machine learning as well as deep learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, CNNs, RNNs, LSTMs
    • Bachelor's or master's in data science, information technology, computer science, GIS, or related discipline, depending on position level

    Recommended Qualifications:

    • Experience working with Python and arcpy to automate geoprocessing workflows
    • Experience with statistical software such as R, SAS, SPSS, MATLAB, etc.
    • Experience with ArcGIS raster and mosaic datasets

     

    #LI-SH1

     

    The Company

    Our passion for improving quality of life through geography is at the heart of everything we do. Esri’s geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

     

    Carefully managed growth and zero debt give Esri stability that is uncommon in today's volatile business world. Privately held, we offer exceptional benefits, competitive salaries, 401(k) and profit-sharing programs, opportunities for personal and professional growth, and much more.

     

    Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

     

    If you need a reasonable accommodation for any part of the employment process, please email humanresources@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

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