Sr. Data Scientist

Delan Associates, Inc; Juno Beach (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Delan Associates, Inc. in Florida seeks a Senior Data Scientist - Geospatial to lead the design and delivery of advanced geospatial analytics, mentor peers, and translate spatial data into actionable insights for business leaders.

The role focuses on building scalable GIS tools, APIs, and data pipelines, with a strong emphasis on Esri technologies and enterprise-scale impact.

Qualifications

• Advanced degree in a relevant field.
• 6–8 years of data science experience, with 4 years in GIS.
• Experience delivering production-grade geospatial tools.
• Strong enterprise impact track record.

Responsibilities

• Lead design and development of scalable GIS tools and spatial data products.
• Establish technical standards and development frameworks for geospatial solutions.
• Oversee spatial data pipelines, APIs, and automation workflows; integrate with cloud platforms.
• Mentor data scientists and collaborate with GIS teams and business leaders.
• Deliver enterprise-level business impact through geospatial analytics.

Skills

Geospatial data science

Python

GIS tooling

Education

Advanced degree in a relevant field

Tools

ArcGIS Pro

ArcGIS Enterprise

ArcGIS Online

ArcPy

ArcGIS API for Python

ArcGIS REST APIs

ArcGIS Maps SDKs

Job description

Job Description:

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

Responsibilities:

• 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.
• 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.
• 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.