Sr. Data Scientist

Delan Associates, Inc; Juno Beach (FL); On-site; USD 120,000 - 160,000; Full time

Job summary

Delan Associates, Inc. is seeking a Senior Data Scientist – Geospatial to lead advanced geospatial analytics, design scalable GIS tools, and mentor team members. The role collaborates with GIS teams and business leaders to translate geospatial data into actionable insights.

Candidates should have an advanced degree and 6–8 years in data science, with a strong preference for GIS-focused experience in the last four years. ArcGIS Pro, ArcGIS Online, and related Esri tools are highly valued.

Qualifications

• Advanced degree required.
• 6–8 years of data science experience, with preference for GIS experience in the last 4 years.
• Experience delivering production‑grade geospatial analytics tools.

Responsibilities

• Lead design and development of scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities.
• Define technical standards and development frameworks for enterprise geospatial solutions; architect geospatial systems.
• Develop and oversee spatial data pipelines, APIs, and automation workflows; integrate GIS with cloud platforms and AI services.
• Mentor experienced data scientists and translate geospatial insights to business leaders.

Skills

Geospatial analytics

Technical leadership

Mentoring

Data science

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.