5 Data Interpretation jobs in Manama
Remote Geologist - Data Analysis
21542 Busaiteen, Muharraq
BHD65 Hourly
WhatJobs
Posted 4 days ago
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Job Description
Our client is looking for a highly skilled and self-motivated Remote Geologist specializing in data analysis to join their innovative mining operations team. This is a fully remote position, allowing you to contribute your expertise from anywhere in the world. You will be instrumental in analyzing geological data, identifying potential resource deposits, and contributing to exploration strategies. The ideal candidate possesses a strong analytical mindset, a deep understanding of geological principles, and proficiency in data interpretation tools.
Key Responsibilities:
Key Responsibilities:
- Analyze and interpret vast geological datasets, including seismic, well log, and core sample data, to identify patterns and potential mineral or hydrocarbon reserves.
- Develop and implement advanced geological modeling techniques using specialized software.
- Conduct literature reviews and research to support exploration initiatives and resource estimation.
- Collaborate with remote exploration and drilling teams, providing geological insights and recommendations.
- Prepare detailed geological reports, maps, and presentations for management and stakeholders.
- Utilize statistical analysis and machine learning techniques to enhance data interpretation and predictive modeling.
- Ensure the quality and integrity of geological data collected through various exploration activities.
- Stay updated on the latest advancements in geological software, techniques, and industry best practices.
- Contribute to the strategic planning of exploration programs and resource development projects.
- Participate in virtual team meetings and discussions, effectively communicating findings and contributing to collaborative decision-making.
- Master's or Ph.D. in Geology, Geophysics, or a related Earth Science discipline.
- Minimum of 7 years of experience in geological data analysis and interpretation within the mining or oil and gas industry.
- Demonstrated expertise in geological modeling software (e.g., Petrel, Leapfrog, ArcGIS) and statistical analysis tools (e.g., R, Python).
- Strong understanding of geological formations, mineralogy, and subsurface characterization.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work autonomously and manage time effectively in a remote work environment.
- Superior written and verbal communication skills, with the ability to present complex technical information clearly.
- Experience with remote sensing data and GIS applications is a plus.
- Familiarity with data visualization techniques for geological information.
- This role offers the chance to shape the future of resource discovery with a forward-thinking company.
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0
Graduate Trainee - Data Analysis
BH3 Ghuraifa, Capital
BHD30000 Annually
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Posted 5 days ago
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Job Description
Our client is offering an exciting opportunity for a motivated Graduate Trainee to join their Data Analysis team in Budaiya, Northern, BH . This program is designed for recent graduates eager to launch their careers in data science and analytics. Under the guidance of experienced professionals, you will gain hands-on experience in collecting, cleaning, analyzing, and interpreting complex datasets to extract valuable insights. You will assist in developing reports, dashboards, and visualizations that communicate findings effectively to stakeholders. The ideal candidate will possess a strong analytical mindset, a keen interest in data, and proficiency in basic statistical concepts. Familiarity with data analysis tools and programming languages such as Excel, SQL, Python, or R is advantageous. You will learn to identify trends, patterns, and correlations within data, contributing to data-driven decision-making across the organization. This internship provides a comprehensive introduction to the field of data analysis, covering data manipulation, statistical modeling, and presentation techniques. You will work on real-world projects, contributing to meaningful business outcomes. We are seeking enthusiastic individuals with a passion for learning and a desire to develop their skills in a supportive and challenging environment. This is an exceptional pathway to building a successful career in data analytics.
Key Responsibilities:
Key Responsibilities:
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and preprocessing tasks.
- Conduct exploratory data analysis to identify trends and patterns.
- Support the creation of reports, dashboards, and data visualizations.
- Help in interpreting data and generating insights for business stakeholders.
- Learn and apply various data analysis techniques and tools.
- Contribute to data quality assurance efforts.
- Participate in team meetings and present findings.
- Collaborate with senior analysts on ongoing projects.
- Develop foundational skills in statistical analysis and data modeling.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and quantitative skills.
- Proficiency in Microsoft Excel; knowledge of SQL is a plus.
- Familiarity with programming languages like Python or R is advantageous.
- Excellent problem-solving abilities and attention to detail.
- Good communication and interpersonal skills.
- Eagerness to learn and develop new skills in data analysis.
- Ability to work effectively in a team.
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1
Lead Research Scientist - Data Analysis
220 Askar, Southern
BHD4000 Annually
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Posted 4 days ago
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Job Description
Our client, a prestigious research institution focused on cutting-edge advancements in materials science, is seeking a highly analytical and experienced Lead Research Scientist specializing in Data Analysis. This role is based at their state-of-the-art facility in Sanad, Capital, BH . The Lead Research Scientist will be responsible for leading the interpretation and analysis of large, complex datasets generated from experimental research, driving new discoveries and insights. This position requires a strong background in statistical modeling, data mining, machine learning, and scientific programming. You will work closely with a team of researchers, providing expertise in data management, analysis, and visualization. Responsibilities include developing advanced analytical methodologies, designing experiments from a data perspective, managing data pipelines, and translating complex findings into actionable conclusions. The ideal candidate will possess a PhD in a quantitative field such as Statistics, Computer Science, Physics, or a related discipline, with a proven track record of applying advanced analytical techniques to scientific problems. Experience with scientific visualization tools and programming languages like Python or R is essential. You will play a critical role in shaping the direction of research through rigorous data-driven insights. Responsibilities:
Qualifications:
- Lead the statistical analysis and interpretation of complex research data.
- Develop and implement advanced data mining and machine learning models.
- Design experiments to optimize data collection and analysis.
- Manage and curate large scientific datasets.
- Create compelling data visualizations to communicate findings.
- Collaborate with research teams to define analytical needs and provide insights.
- Write clear and concise reports on research findings.
- Stay abreast of the latest advancements in data science and statistical methodologies.
- Mentor junior data analysts and researchers.
- Contribute to the publication of research findings in peer-reviewed journals.
Qualifications:
- Ph.D. in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field.
- Minimum of 6 years of experience in data analysis and scientific research.
- Proven expertise in statistical modeling, machine learning, and data mining.
- Proficiency in programming languages such as Python or R, including relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Strong understanding of experimental design and scientific research principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Experience in materials science or a related scientific discipline is a plus.
This advertiser has chosen not to accept applicants from your region.
2
Senior Geologist - Remote Sensing & Data Analysis
7007 Ghuraifa, Capital
BHD140000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a global leader in mineral exploration and resource management, is seeking a highly skilled Senior Geologist with expertise in remote sensing and data analysis to join our team. This position offers a hybrid work model, allowing for a blend of remote work and on-site collaboration at our facilities in **Budaiya, Northern, BH**. You will play a critical role in identifying and evaluating potential mineral deposits by leveraging advanced remote sensing technologies and sophisticated data analysis techniques. Your responsibilities will include processing and interpreting satellite imagery, aerial surveys, and geophysical data to delineate geological structures, mineral alteration zones, and potential exploration targets. You will develop and implement data processing workflows, manage large geological datasets, and contribute to exploration strategy and target generation. The ideal candidate will have a strong background in structural geology, mineralogy, and experience with various remote sensing platforms and analytical software.
Responsibilities:
Responsibilities:
- Utilize remote sensing data (e.g., satellite imagery, LiDAR) to identify and map geological features and mineral occurrences.
- Process and analyze multispectral and hyperspectral data for mineral identification and alteration mapping.
- Integrate remote sensing data with other geological and geophysical datasets (e.g., airborne magnetics, gravity, geochemistry).
- Develop and refine data processing and analysis workflows for exploration projects.
- Interpret geological and remote sensing data to define exploration targets and strategies.
- Prepare technical reports, presentations, and geological maps for internal and external stakeholders.
- Collaborate with geophysicists, geochemists, and other geoscientists to support exploration programs.
- Manage and maintain large geological and remote sensing databases.
- Stay abreast of the latest advancements in remote sensing technology and geological interpretation techniques.
- Provide geological expertise and guidance to exploration teams.
- Master's or Ph.D. in Geology, Earth Sciences, or a related field with a specialization in remote sensing or exploration geology.
- Minimum of 8 years of experience in geological exploration, with a strong emphasis on remote sensing data analysis.
- Proven experience with various remote sensing data types (e.g., Landsat, Sentinel, ASTER, hyperspectral, LiDAR).
- Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing software (e.g., ENVI, ERDAS Imagine).
- Experience with scripting languages (e.g., Python) for data automation and analysis.
- Strong understanding of structural geology, mineral deposits, and exploration techniques.
- Excellent analytical, problem-solving, and data interpretation skills.
- Effective communication and collaboration abilities.
- Experience working in a hybrid environment is beneficial.
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3
Senior Mining Operations Geologist, Remote Data Analysis
701 Hamad Town, Northern
BHD110000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking a seasoned and highly analytical Senior Mining Operations Geologist to join their innovative team. This role is designed for a remote-first professional who will focus on the geological aspects of mine planning, resource estimation, and operational monitoring using advanced data analysis techniques. You will be responsible for interpreting geological data from exploration and mining activities, developing 3D geological models, and contributing to mine design and optimization. Your duties will include analyzing drill hole data, conducting lithological and structural mapping interpretations, and performing resource and reserve calculations using industry-standard software. The successful candidate will work closely with mine engineers, metallurgists, and management teams, providing crucial geological insights to support informed decision-making. A key aspect of this role involves leveraging geological modeling software and data visualization tools to assess ore body characteristics, predict grade distributions, and identify potential risks and opportunities. You will also contribute to geological reporting, including NI 43-101 compliant reports and internal technical assessments. This position requires a deep understanding of various deposit types, exploration techniques, and mining methods. The ability to effectively communicate complex geological concepts to both technical and non-technical audiences is essential. You will be instrumental in guiding the operational teams towards maximizing resource recovery and ensuring safe, efficient mining practices. This is an exceptional opportunity to contribute your expertise in a flexible, remote capacity to a leading mining organization. A Bachelor's or Master's degree in Geology or a related Earth Science discipline is required, with a strong emphasis on economic geology or mining geology. A minimum of 8 years of experience in mineral exploration, resource estimation, and mine geology is essential. Proven proficiency with geological modeling software (e.g., Leapfrog, Vulcan, Micromine) and geostatistics is a must. Experience with data management and analysis, including scripting or database query skills, is highly desirable. Strong understanding of geological principles relevant to various commodities and mining methods is required. Excellent written and verbal communication skills, with the ability to prepare comprehensive technical reports, are critical. The ability to work independently, manage deadlines, and collaborate effectively in a virtual team environment is paramount for this role.
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