... GIS, Database, Remote Sensing and Data Science roles to ensure compliance with established ... Microsoft Azure) • Machine Learning/Artificial Intelligence frameworks (e.g. PyTorch) • Remote ...
... GIS, Database, Remote Sensing and Data Science roles to ensure compliance with established ... Microsoft Azure) • Machine Learning/Artificial Intelligence frameworks (e.g. PyTorch) • Remote ...
Data Engineer
Reno, NV · On-site
$114K - $137K/yr
Integrate subsurface data systems with corporate platforms (Power BI, SAP, GIS) in coordination ... Enable advanced analytics, machine learning, and AI applications by structuring and preparing high ...
Data Engineer
Reno, NV · On-site
$114K - $137K/yr
Integrate subsurface data systems with corporate platforms (Power BI, SAP, GIS) in coordination ... Enable advanced analytics, machine learning, and AI applications by structuring and preparing high ...
Data Engineer
Reno, NV · On-site +1
$114K - $137K/yr
Integrate subsurface data systems with corporate platforms (Power BI, SAP, GIS) in coordination ... Enable advanced analytics, machine learning, and AI applications by structuring and preparing high ...
Data Engineer
Reno, NV · On-site +1
$114K - $137K/yr
Integrate subsurface data systems with corporate platforms (Power BI, SAP, GIS) in coordination ... Enable advanced analytics, machine learning, and AI applications by structuring and preparing high ...
Data Engineer
Reno, NV · On-site +1
$114K - $137K/yr
Integrate subsurface data systems with corporate platforms (Power BI, SAP, GIS) in coordination ... Enable advanced analytics, machine learning, and AI applications by structuring and preparing high ...
Data Engineer
Reno, NV · On-site +1
$114K - $137K/yr
Integrate subsurface data systems with corporate platforms (Power BI, SAP, GIS) in coordination ... Enable advanced analytics, machine learning, and AI applications by structuring and preparing high ...
Data Engineer
Reno, NV · On-site
$114K - $137K/yr
... machine learning, and AI applications by structuring and preparing high-quality datasets • ... GIS, cloud platforms such as Azure/AWS) • Demonstrated ability to manage data governance and ...
Data Engineer
Reno, NV · On-site
$114K - $137K/yr
... machine learning, and AI applications by structuring and preparing high-quality datasets • ... GIS, cloud platforms such as Azure/AWS) • Demonstrated ability to manage data governance and ...
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?
| Aspect | Gis Machine Learning | GIS Analyst |
|---|---|---|
| Required Credentials | Bachelor's in GIS, Computer Science, or related; knowledge of machine learning | Bachelor's in Geography, GIS, or related; GIS certifications often preferred |
| Work Environment | Data science teams, software development, research projects | Urban planning, environmental agencies, government offices |
| Employer & Industry Usage | Tech companies, research institutions, environmental firms | Government agencies, consulting firms, urban planning departments |
| Common Search & Comparison Intent | Understanding technical skills and data modeling | Analyzing 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 are popular job titles related to Gis Machine Learning jobs in Nevada? For Gis Machine Learning jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Nevada look for? The top searched job categories for Gis Machine Learning jobs in Nevada are:
What cities in Nevada are hiring for Gis Machine Learning jobs? Cities in Nevada with the most Gis Machine Learning job openings:
Exploration - Regional Principal Geoscience Data & Analytics Lead
Barrick Mining CorporationElko, NV • On-site
Full-time
Posted 27 days ago
Job description
Job Summary:
Barrick Mining Corporation is a world-class mining organization seeking a Regional Principal Geosciences Data & Analytics Lead. The successful candidate will provide technical leadership for geoscience data architecture and analytics, manage a specialist team, and drive continuous improvement in information management to support mineral exploration efforts.
Responsibilities:
• Provide technical leadership and oversight for all geochemical activities across North America, including survey design, sampling strategies, QA/QC frameworks, data management, interpretation, and integration.
• Define regional objectives for the Regional Geoinformatics/Geodata team and cascade them as a basis for local goal setting.
• Direct and lead performance, leadership, and evaluation processes for direct reports.
• Oversee mid-year and end-of-year evaluations of objectives and values.
• Manage talent within the team: identify skill gaps, develop action plans, and support career development.
• Establish succession plans by identifying key positions and potential successors within or outside the team.
• Coordinate and promote training initiatives.
• Establish and lead the Geoinformatics organization to provide tools and support for data capture, analysis, and accessibility under strict quality control standards.
• Supervise the Leader GIS, Database, Remote Sensing and Data Science roles to ensure compliance with established protocols for proper information handling and best-practice solutions.
• Drive accessibility initiatives through applications that centralize common resources and services.
• Administer regional applications used in Exploration to ensure integration, centralization, and standardization of processes.
• Maintain active participation in corporate projects to optimize processes and create synergies for new implementations.
• Oversee external consultants and supervise data acquisition to support exploration activities.
• Develop and enforce policies for information administration and management, including security and quality control.
• Manage budgets, including tracking software licenses, hardware standards, and related expenses.
• Coordinate and standardize global information management processes with regional offices, including protocol definition and knowledge transfer.
• Design, evaluate, and implement new software tools, AI solutions and data science initiatives to enhance existing processes or introduce innovative solutions.
• Preform other duties as required.
Qualifications:
Required:
• Degree in Geology (oriented to Information Analysis), Geophysics, Geochemistry, Geological Engineering, GIS, Data Science, Geography, or Remote Sensing required
• +10 years of work experience, and at least 6 years of those in functions similar to those described for the position in the Mining Sector and preferably in Mineral Exploration preferred
• Requires knowledge of: Leapfrog and Geosoft software
• Proficiency with acQuire (or other database interface system), SQL (or similar) and Power BI (or similar software)
• ESRI/GIS platforms such as: ArcGIS Pro, QGIS, Geoprocessing and analysis, Survey 123, Field Maps and plugins (Target, etc.)
• Database systems: SQL Server intermediate level would be an asset.
• Cloud computing solution (e.g. Microsoft Azure)
• Machine Learning/Artificial Intelligence frameworks (e.g. PyTorch)
• Remote sensing software, interpretation and application to mining/minerals exploration
• Artificial Intelligence and Data Science tools (machine learning (supervised and unsupervised models) with application to mining/minerals section
• Programming language: Python or R (desirable)
• Strong knowledge of Business Intelligence (BI) platforms and data visualization techniques is essential preferred
• Skills in personnel management and leadership required
• Problem solving and data integration skills, with a leadership focus to create fit-for-purpose data solutions required
• Alignment to Barrick DNA, people with autonomy and proactivity, oriented to continuous learning required
Preferred:
• +10 years of work experience, and at least 6 years of those in functions similar to those described for the position in the Mining Sector and preferably in Mineral Exploration preferred
• Knowledge of gold and copper ore deposits, exploration techniques and technologies to better drive and create data products preferred
• Strong knowledge of Business Intelligence (BI) platforms and data visualization techniques is essential preferred
Company:
Barrick is a leading global mining, exploration and development company. Founded in 1983, the company is headquartered in Toronto, CAN, with a team of 10001+ employees. The company is currently Late Stage.
Barrick Mining Corporation is a world-class mining organization seeking a Regional Principal Geosciences Data & Analytics Lead. The successful candidate will provide technical leadership for geoscience data architecture and analytics, manage a specialist team, and drive continuous improvement in information management to support mineral exploration efforts.
Responsibilities:
• Provide technical leadership and oversight for all geochemical activities across North America, including survey design, sampling strategies, QA/QC frameworks, data management, interpretation, and integration.
• Define regional objectives for the Regional Geoinformatics/Geodata team and cascade them as a basis for local goal setting.
• Direct and lead performance, leadership, and evaluation processes for direct reports.
• Oversee mid-year and end-of-year evaluations of objectives and values.
• Manage talent within the team: identify skill gaps, develop action plans, and support career development.
• Establish succession plans by identifying key positions and potential successors within or outside the team.
• Coordinate and promote training initiatives.
• Establish and lead the Geoinformatics organization to provide tools and support for data capture, analysis, and accessibility under strict quality control standards.
• Supervise the Leader GIS, Database, Remote Sensing and Data Science roles to ensure compliance with established protocols for proper information handling and best-practice solutions.
• Drive accessibility initiatives through applications that centralize common resources and services.
• Administer regional applications used in Exploration to ensure integration, centralization, and standardization of processes.
• Maintain active participation in corporate projects to optimize processes and create synergies for new implementations.
• Oversee external consultants and supervise data acquisition to support exploration activities.
• Develop and enforce policies for information administration and management, including security and quality control.
• Manage budgets, including tracking software licenses, hardware standards, and related expenses.
• Coordinate and standardize global information management processes with regional offices, including protocol definition and knowledge transfer.
• Design, evaluate, and implement new software tools, AI solutions and data science initiatives to enhance existing processes or introduce innovative solutions.
• Preform other duties as required.
Qualifications:
Required:
• Degree in Geology (oriented to Information Analysis), Geophysics, Geochemistry, Geological Engineering, GIS, Data Science, Geography, or Remote Sensing required
• +10 years of work experience, and at least 6 years of those in functions similar to those described for the position in the Mining Sector and preferably in Mineral Exploration preferred
• Requires knowledge of: Leapfrog and Geosoft software
• Proficiency with acQuire (or other database interface system), SQL (or similar) and Power BI (or similar software)
• ESRI/GIS platforms such as: ArcGIS Pro, QGIS, Geoprocessing and analysis, Survey 123, Field Maps and plugins (Target, etc.)
• Database systems: SQL Server intermediate level would be an asset.
• Cloud computing solution (e.g. Microsoft Azure)
• Machine Learning/Artificial Intelligence frameworks (e.g. PyTorch)
• Remote sensing software, interpretation and application to mining/minerals exploration
• Artificial Intelligence and Data Science tools (machine learning (supervised and unsupervised models) with application to mining/minerals section
• Programming language: Python or R (desirable)
• Strong knowledge of Business Intelligence (BI) platforms and data visualization techniques is essential preferred
• Skills in personnel management and leadership required
• Problem solving and data integration skills, with a leadership focus to create fit-for-purpose data solutions required
• Alignment to Barrick DNA, people with autonomy and proactivity, oriented to continuous learning required
Preferred:
• +10 years of work experience, and at least 6 years of those in functions similar to those described for the position in the Mining Sector and preferably in Mineral Exploration preferred
• Knowledge of gold and copper ore deposits, exploration techniques and technologies to better drive and create data products preferred
• Strong knowledge of Business Intelligence (BI) platforms and data visualization techniques is essential preferred
Company:
Barrick is a leading global mining, exploration and development company. Founded in 1983, the company is headquartered in Toronto, CAN, with a team of 10001+ employees. The company is currently Late Stage.