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Gis Machine Learning Jobs in Florida (NOW HIRING)

... with GIS • Experience with WFS/WMS layers • Experience with Cesium • Experience with ... Preferred : • Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D ...

Ontologist

Doral, FL · On-site

$99K - $225K/yr

Experience with natural language processing, text mining, or machine learning techniques * Bachelor ... GIS, Data Science, Business Analytics, or Cognitive Science Compensation At Booz Allen, we ...

Experience with GIS * Experience with WFS/WMS layers * Experience with Cesium * Experience with ... Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling * Geospatial ...

Experience with GIS * Experience with WFS/WMS layers * Experience with Cesium * Experience with ... Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling * Geospatial ...

Experience with GIS * Experience with WFS/WMS layers * Experience with Cesium * Experience with ... Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling * Geospatial ...

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Gis Machine Learning information

What are GIS Machine Learning jobs?

GIS Machine Learning jobs involve applying machine learning techniques to geographic information systems (GIS) data to analyze spatial patterns, make predictions, and solve complex geospatial problems. Professionals in this field use algorithms and models to process location-based data, automate mapping tasks, and extract insights from satellite imagery or sensor data. These roles often require skills in programming, data analysis, and an understanding of both GIS principles and machine learning methodologies. GIS Machine Learning specialists can work in industries like urban planning, environmental monitoring, agriculture, and disaster management.

What are some common challenges faced when integrating machine learning models with GIS data, and how can they be addressed?

One common challenge in GIS machine learning roles is handling the complexity and diversity of spatial data, which often comes in various formats and resolutions. Ensuring data quality and alignment is crucial, as inconsistencies can negatively impact model performance. Another challenge is computational efficiency, since spatial datasets can be very large. Collaboration with data engineers and GIS analysts is often necessary to preprocess data effectively and optimize workflows. Staying updated with advancements in geospatial libraries and cloud-based solutions can help address these challenges.

What are the key skills and qualifications needed to thrive as a GIS Machine Learning Specialist, and why are they important?

To thrive as a GIS Machine Learning Specialist, you need expertise in geospatial analysis, machine learning algorithms, and a background in GIS-related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, Python, R, and libraries such as scikit-learn and TensorFlow, as well as experience with spatial databases, is crucial. Strong problem-solving, critical thinking, and effective communication skills help translate complex data into actionable insights. These abilities enable professionals to develop innovative geospatial solutions and drive informed decision-making in diverse sectors.

What is the difference between Gis Machine Learning vs GIS Analyst?

AspectGis Machine LearningGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related; knowledge of machine learningBachelor's in Geography, GIS, or related; GIS certifications often preferred
Work EnvironmentData science teams, software development, research projectsUrban planning, environmental agencies, government offices
Employer & Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, consulting firms, urban planning departments
Common Search & Comparison IntentUnderstanding technical skills and data modelingAnalyzing spatial data for projects and reports

Gis Machine Learning focuses on applying machine learning techniques to spatial data, often requiring programming and data science skills. In contrast, GIS Analysts primarily work with spatial data analysis, mapping, and reporting within various industries. While both roles involve GIS, Gis Machine Learning emphasizes advanced data modeling, whereas GIS Analysts focus on spatial data management and visualization.

What cities in Florida are hiring for Gis Machine Learning jobs? Cities in Florida with the most Gis Machine Learning job openings:
Location Analytics Developer - Lakeland

Location Analytics Developer - Lakeland

Publix Super Markets

Lakeland, FL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Publix rating

6.8

Company rating: 6.8 out of 10

Based on 4,550 frontline employees who took The Breakroom Quiz

21st of 114 rated grocery stores


Job description

Job Summary:
Publix Super Markets is a leading grocery chain based in Florida, and they are seeking a Location Analytics Developer to provide location-specific recommendations to support various business initiatives. The role involves automating data-driven solutions, analyzing datasets, and training GIS Analysts to enhance location analytics capabilities.
Responsibilities:
• Analysis & Report Automation: Maintain/develop a self-serve environment that allows department-specific users to exploit Spatial Data Science & GIS’ expertise using developed applications that provide data-backed solutions to the asked business question(s).
• Research, summarize, analyze, synthesize, and visualize multiple datasets from internal sources (BAR, IS, RE, CRM, MBA, CI, LP…etc.) and external sources (competition, sales, demographics, purchase behaviors, customer data…etc.) into a comprehensive final deliverable (report, presentation, infographic, map, story-map…etc.) that enables decision makers to quickly advance our business backed by data driven decision-making.
• Support the innovation and enable the Spatial Data Science & GIS Team to maintain a high level of awareness of location-based data, systems, processes.
• Manage existing contracts and renewals to ensure Publix is not in breach of contract, and there is no lapse in data/service providers
• Train GIS Analysts on Location Analytics and the skillsets needed to progress into a Location Analytics Developer (spatial statistics, Alteryx, existing methodologies/processes…etc.)
• Dedicating time to Marketing innovation and quality improvement.
• managing special Marketing related assignments, which can include but is not limited to: project management, executing reporting and presenting results to executive leadership.
Qualifications:
Required:
• Bachelor’s degree in Geography, Geographic Information Systems, Analytics, Information Technology, Computer Science, Statistics, Data Science, Engineering, or another analytical discipline from an accredited college or university
• 3 years of geography, GIS, analytics, computer science, or similar analytics field work-related experience
• 1 Year experience developing analytical systems, tools, or programs
• 1 Year experience writing R/Python code or similar functionality within other statistical/GIS tools
• Ability to develop and automate data-driven recommendations for strategic business partners with advanced technology, tools, systems, and data
• In-depth knowledge of demographic datasets and Location Analytics
• Critical/strategic thinking, problem solving, team-work, innate curiosity, adaptability
• Decision-making, project management
• Communication (verbal/written), persuasiveness, interpersonal/emotional intelligence
• Advanced software knowledge of ESRI (ArcMap, ArcGIS Pro, ArcCatalog, ArcGIS Online)
• Basic skills in Python/extensions
• Basic knowledge of Alteryx, Alteryx Server, & R
• Willingness to travel up to one week at a time with overnight stays
• Ability to work a variable work schedule as needed including nights, holidays, weekends, and extended hours to meet deadlines
Preferred:
• MBA or Masters in Geography, Geographic Information Systems, Analytics, Information Technology, Computer Science, Statistics, Data Science, Engineering, or another analytical discipline from an accredited college or university
• 5 or more years of geography, GIS, analytics, computer science, or similar analytics field work-related experience
• 3 Years’ experience developing analytical systems, tools, or programs
• 3 Years’ experience writing R/Python code or similar functionality within other statistical/GIS tools
• Experience with distributed big data tools and processes
• Any combination of the following: GISP, ESRI Certification, Alteryx Certification, Data Science Certificate
• In-depth knowledge of existing Publix business units, processes, data storage/retrieval processes
• Expert software knowledge of ESRI (ArcMap, ArcGIS Pro, ArcCatalog, ArcGIS Online)
• Intermediate skills in Python/extensions
• Advanced knowledge of Alteryx, Alteryx Server, & R
• Advanced knowledge of Big Data and cloud-based machine learning and artificial intelligence tools such as Microsoft Azure, Hive, Presto or Hadoop
• Advanced knowledge of Publix business systems, including: PIMS, PPMS, EDW. Marketing Systems: ECMS, MCMS, Marketing Analytics DB (MADb) SQL Server, Geospatial Data Sources, Acxiom InfoBase, MRM Resource Management Tool
Company:
Founded in 1930, Publix Super Markets is the largest and fastest-growing employee-owned supermarket chain in the United States. Founded in 1930, the company is headquartered in Lakeland, USA, with a team of 10001+ employees. The company is currently Late Stage.

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