Note: The job is a remote job and is open to candidates in USA. Dice is recruiting for a Data Scientist - Geospatial role focused on advanced analytics and spatial data solutions. The position leads the design and delivery of scalable GIS tools, analytical applications, spatial data products, pipelines, APIs, and automation workflows while mentoring data scientists and collaborating with GIS teams and business leaders.
Responsibilities
- Working on spatial data and architecture and automation, data relationships and building workflow to support analysts who build maps
- The Senior Data Scientist - Geospatial serves as a technical leader responsible for designing and delivering advanced analytical and modeling solutions using geospatial data. This role leads complex spatial analytics efforts, mentors less experienced data scientists, and collaborates with GIS teams and business leaders to translate geospatial data into actionable insights. The position requires deep expertise in data science techniques and hands on experience with spatial analytics at scale
- This position leads the design and development of scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities that support complex business and operational needs. Responsibilities include establishing technical standards and development frameworks; guiding the architecture of enterprise geospatial solutions; developing and overseeing spatial data pipelines, APIs, and automation workflows; and integrating GIS capabilities with cloud platforms, enterprise data systems, and AI services
Skills
- Candidates should hold an advanced degree, with at least 6-8 years of experience in data science and a preference for data science in GIS during the last 4 years
- Extensive experience developing production-grade analytical tools and applications, and a strong track record of delivering enterprise-level business impact
- Geospatial/GIS Specialist with a data science background (must have strong background in Geospatial and ESRI tools/platform for creation of products; ARC GIS Enterprise
- Best candidates will have Databricks and AI/ML
- Preferred qualifications include significant experience developing GIS tools and applications using Esri technologies such as ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online, ArcPy, the ArcGIS API for Python, ArcGIS REST APIs, and ArcGIS Maps SDKs
- Experience developing custom geoprocessing tools, Python toolboxes, web-based mapping applications, dashboards, widgets, extensions, and automated spatial analysis workflows is highly valued
Benefits
- Medical, dental & vision
- Critical Illness, Accident, and Hospital coverage
- 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
- Life Insurance (Voluntary Life & AD&D for the employee and dependents)
- Short and long-term disability
- Health Spending Account (HSA)
- Transportation benefits
- Employee Assistance Program
- Time Off/Leave (PTO, Vacation or Sick Leave)
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