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Sr. Data Scientist

Delan Associates • Python • 2 months ago
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Salary
≈ $113k – $216k per year (Estimated)
Location
In office (Juno Beach)
Seniority
Senior · 6+ years exp
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Aug 11, 2026. Delan Associates scores B on the Alion truth index.

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Delan Associates

Delan Associates is a professional services, engineering and IT staffing firm based in Freeport, New York, founded in 2002 by Michael Chung. A graduate of the SBA 8(a) program and a certified Small Disadvantaged Business, it has provided instructors and student support for US Army schools, facilities maintenance for US Central Command counter-narcotics operations, and SIPR and NIPR network engineering. It now recruits mostly contract IT professionals for client projects, such as Java and PHP developers, Salesforce and Power BI developers, SAP and Oracle architects, Splunk detection engineers, vulnerability analysts and scrum masters.
delanhq.com • HQ: Freeport, United States • Recruiting & Staffing • IT Staffing & Staff Augmentation • Est. 2002

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.

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