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Mindlance

DATA SCIENTIST-Level 2 - Experienced (6 - 10 Years)

Pay: Not specified

Posted: 2 weeks ago

Location: Juno Beach, FL (Onsite)

Last Updated: 1 day ago

Hours: Full-Time

Expires: 10/4/2026

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What they do

A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.

$102,036 / year median in Florida

+23% projected growth

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Job Description

DATA SCIENTIST-Level 2

Experienced (6
10 Years)#26-23172 Juno Beach, FL Onsite Job Description Senior Data Scientist
Revised 08/05/26 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. 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, Arc

GIS 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.

EEO:

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of

Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.