5 Geological Mapping jobs in Manama
Remote Data Scientist - Geospatial Analysis
2002 Busaiteen
BHD110000 Annually
WhatJobs
Posted 12 days ago
Job Viewed
Job Description
Our client is a global leader in resource exploration and analytics, seeking a highly skilled and motivated Remote Data Scientist with expertise in Geospatial Analysis to join their innovative research and development team. This is a fully remote position, allowing you to work from anywhere, contributing to cutting-edge projects focused on analyzing large-scale geological and environmental datasets. You will leverage advanced statistical techniques, machine learning algorithms, and spatial data processing tools to uncover insights, model complex phenomena, and support strategic decision-making.
As a Remote Data Scientist, you will be responsible for the entire data science lifecycle, from data acquisition and cleaning to model development, validation, and deployment. Your work will involve developing predictive models for resource identification, optimizing exploration strategies, and assessing environmental impact using sophisticated geospatial techniques. You will collaborate closely with geologists, engineers, and other data scientists through virtual channels, contributing to a collaborative and intellectually stimulating environment. Strong communication skills and the ability to articulate complex findings to both technical and non-technical audiences are paramount.
Key Responsibilities:
As a Remote Data Scientist, you will be responsible for the entire data science lifecycle, from data acquisition and cleaning to model development, validation, and deployment. Your work will involve developing predictive models for resource identification, optimizing exploration strategies, and assessing environmental impact using sophisticated geospatial techniques. You will collaborate closely with geologists, engineers, and other data scientists through virtual channels, contributing to a collaborative and intellectually stimulating environment. Strong communication skills and the ability to articulate complex findings to both technical and non-technical audiences are paramount.
Key Responsibilities:
- Develop and implement machine learning models and statistical analyses for geospatial data.
- Process, clean, and analyze large datasets including satellite imagery, GIS data, and sensor readings.
- Design and execute spatial modeling workflows for resource prediction, risk assessment, and environmental monitoring.
- Utilize programming languages such as Python or R, and libraries like GeoPandas, Scikit-learn, TensorFlow, and PyTorch.
- Work with GIS software and platforms (e.g., ArcGIS, QGIS) for data visualization and analysis.
- Collaborate remotely with cross-functional teams, including geoscientists and domain experts.
- Communicate findings and recommendations through reports, presentations, and visualizations.
- Stay abreast of the latest advancements in data science, machine learning, and geospatial technologies.
- Contribute to the development of best practices and innovative methodologies within the data science team.
- Ensure the scalability and reproducibility of analytical solutions.
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0
Remote Senior Data Scientist - Geospatial Analysis
N/A Al Seef
BHD120000 Annually
WhatJobs
Posted 20 days ago
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Job Description
Our client is seeking a highly skilled and experienced Senior Data Scientist with a specialization in Geospatial Analysis to join their globally distributed team. This is a fully remote position, offering the flexibility to work from anywhere. You will be instrumental in leveraging advanced data science techniques and geospatial tools to extract valuable insights from large-scale spatial datasets. The ideal candidate will have a strong background in machine learning, statistical modeling, and significant experience with GIS software and spatial data manipulation. You will be responsible for developing predictive models, performing complex spatial analyses, and communicating findings to technical and non-technical stakeholders.
Key Responsibilities:
Key Responsibilities:
- Develop and implement advanced statistical and machine learning models for geospatial data analysis.
- Design and conduct spatial data mining and visualization projects to uncover trends and patterns.
- Work with large and diverse datasets, including satellite imagery, sensor data, and geographic databases.
- Utilize GIS software (e.g., ArcGIS, QGIS) and spatial libraries (e.g., GeoPandas, PostGIS) extensively.
- Build and deploy predictive models for applications such as site selection, risk assessment, and resource management.
- Collaborate with remote teams, including engineers, product managers, and business analysts.
- Communicate complex analytical findings clearly and concisely through reports, presentations, and dashboards.
- Identify and integrate new data sources to enhance analytical capabilities.
- Stay abreast of the latest advancements in data science, machine learning, and geospatial technologies.
- Contribute to the development of data governance and best practices for spatial data.
- Mentor junior data scientists and provide technical guidance.
- Develop and maintain code repositories and documentation for reproducibility.
- Evaluate and recommend tools and platforms for geospatial data science.
- Define and track key metrics for geospatial model performance.
- Participate in cross-functional projects requiring spatial intelligence.
- Ph.D. or Master's degree in Data Science, Computer Science, Geography, GIS, or a related quantitative field.
- Minimum of 5 years of professional experience as a Data Scientist with a focus on geospatial analysis.
- Proven expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Strong proficiency in programming languages such as Python or R, with relevant geospatial libraries.
- Extensive experience with GIS software and spatial databases.
- Deep understanding of spatial statistics, geostatistics, and remote sensing principles.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, suitable for a remote work environment.
- Ability to work independently and manage multiple projects simultaneously.
- Experience with data visualization tools (e.g., Tableau, Power BI) for spatial data.
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1
Senior Data Scientist - Mining & Geospatial Analysis (Remote)
12001 Manama, Capital
BHD90000 Annually
WhatJobs
Posted 20 days ago
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Job Description
Our client is seeking a highly skilled Senior Data Scientist with expertise in mining and geospatial analysis to join their remote team. This role is crucial for leveraging advanced data science techniques to identify, analyze, and optimize mineral resource exploration and extraction processes. You will work with large, complex datasets including geological surveys, seismic data, satellite imagery, and operational logs. The ideal candidate will possess a strong background in statistical modeling, machine learning, data visualization, and possess specific domain knowledge in the mining industry. This is a fully remote position, requiring self-motivation, strong communication skills, and the ability to collaborate effectively with geographically dispersed teams.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop and implement advanced statistical and machine learning models for mineral exploration, resource estimation, and operational efficiency.
- Analyze and interpret large-scale geological, geophysical, and geospatial datasets.
- Design and build data pipelines for collecting, cleaning, and transforming diverse data sources.
- Create compelling data visualizations and dashboards to communicate insights to stakeholders.
- Collaborate with geologists, engineers, and operational teams to define data-driven strategies.
- Conduct predictive modeling to forecast production, identify risks, and optimize resource allocation.
- Stay current with the latest advancements in data science, AI, and their applications in the mining sector.
- Evaluate and implement new data analysis tools and technologies.
- Develop and maintain documentation for data models, algorithms, and methodologies.
- Mentor junior data scientists and contribute to the team's technical growth.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Geophysics, or a related quantitative field.
- Minimum of 6-8 years of experience in data science, with a significant focus on the mining or natural resources sector.
- Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
- Strong proficiency in programming languages such as Python or R, and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Experience with geospatial analysis tools and techniques (e.g., ArcGIS, QGIS, spatial statistics).
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- Proven ability to work independently and manage projects effectively in a remote setting.
- Experience with data relevant to the operations in the Manama, Capital, BH region is advantageous, but the role is fully remote.
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2
Geological Surveyor - Subsurface Mapping
1110 Saar, Northern
BHD80000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client, a leading resource exploration and extraction company, is seeking a highly skilled and motivated Geological Surveyor to join their operations in Saar, Northern, BH . This role is crucial for identifying, assessing, and mapping subsurface geological formations, mineral deposits, and potential resource reserves. The successful candidate will utilize advanced surveying techniques, geophysical instruments, and data analysis software to provide accurate and detailed geological reports. This position requires a strong understanding of geological principles, extensive field experience, and the ability to work effectively in challenging environments.
Responsibilities:
Qualifications:
Responsibilities:
- Plan and execute geological surveys using a variety of methods, including seismic, magnetic, and gravimetric surveys.
- Operate and maintain geophysical equipment, ensuring data quality and accuracy.
- Collect, analyze, and interpret geological data to create detailed subsurface maps and models.
- Identify and delineate potential areas of interest for mineral exploration and resource extraction.
- Prepare comprehensive geological reports, including findings, interpretations, and recommendations.
- Collaborate with geologists, geophysicists, and engineers to integrate geological data into broader project plans.
- Ensure compliance with safety regulations and environmental standards in all field operations.
- Contribute to the development of new surveying techniques and technologies.
- Manage field logistics, including equipment procurement, personnel coordination, and site access.
- Maintain accurate records of survey activities, data, and equipment usage.
Qualifications:
- Bachelor's or Master's degree in Geology, Geophysics, Earth Sciences, or a related field.
- Minimum of 7 years of experience in geological surveying and subsurface mapping.
- Proven experience with geophysical survey methods and data processing software (e.g., Petrel, ArcGIS, Surpac).
- Proficiency in operating and maintaining various geological and geophysical instruments.
- Strong analytical and problem-solving skills with a keen eye for detail.
- Excellent report writing and communication abilities.
- Ability to work independently and as part of a team in remote and demanding field conditions.
- Valid driver's license and willingness to travel to various field sites.
- Knowledge of local geological formations and mining regulations is a significant advantage.
- Commitment to upholding the highest safety and environmental standards.
This advertiser has chosen not to accept applicants from your region.
3
Remote Senior Data Scientist (Geospatial Analysis)
34567 Busaiteen, Muharraq
BHD140000 Annually
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client is revolutionizing the mining industry through advanced data analytics and is seeking a highly skilled Remote Senior Data Scientist with a specialization in Geospatial Analysis. This fully remote position offers the flexibility to work from anywhere, allowing you to contribute your expertise to critical projects without geographical constraints. You will be instrumental in leveraging vast datasets to uncover insights related to resource exploration, operational efficiency, and environmental impact assessment within mining operations. Your role will involve developing and deploying sophisticated machine learning models, statistical analyses, and data visualization techniques applied to geological and operational data. A significant portion of your work will focus on integrating and analyzing spatial data, including satellite imagery, GIS data, and sensor readings, to identify potential mineral deposits, optimize extraction routes, and monitor site conditions. You will collaborate closely with geologists, mining engineers, and other data professionals in a virtual environment, utilizing cloud-based platforms and collaborative tools. The ideal candidate possesses a strong academic background in a quantitative field, coupled with extensive practical experience in data science, particularly within industries that generate complex spatial datasets. You will be expected to communicate complex findings clearly and concisely to both technical and non-technical stakeholders. Responsibilities include:
- Designing, developing, and implementing machine learning models and statistical analyses for mining-related challenges.
- Performing advanced geospatial data analysis using tools like Python (geopandas, rasterio), R, ArcGIS, or QGIS.
- Interpreting satellite imagery, aerial photography, and other remote sensing data for resource exploration.
- Developing predictive models for ore body characterization and grade estimation.
- Optimizing mining operations through spatial data-driven insights.
- Collaborating remotely with cross-functional teams including geologists, engineers, and domain experts.
- Communicating complex analytical results and recommendations to stakeholders through clear visualizations and reports.
- Contributing to the development of data infrastructure and best practices for remote data science operations.
- Mentoring junior data scientists and contributing to knowledge sharing within the team.
- Ensuring data quality, integrity, and security in all analytical processes.
- Ph.D. or Master's degree in Data Science, Computer Science, Geology, Geoinformatics, Statistics, or a related quantitative field.
- 5+ years of professional experience as a Data Scientist, with a proven track record in geospatial analysis.
- Expertise in Python or R for data analysis and machine learning.
- Strong experience with GIS software and geospatial libraries.
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Excellent understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Experience in the mining or natural resources sector is a significant advantage.
- Exceptional problem-solving abilities and analytical thinking.
- Strong written and verbal communication skills for effective remote collaboration.
- Demonstrated ability to work independently and manage projects effectively in a remote setting.
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