2,930 Data jobs in Kenya
Geological Data Analyst (Mining)
Posted 2 days ago
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Responsibilities:
- Collect, clean, validate, and manage geological datasets from various sources.
- Perform statistical analysis of geological data to identify trends, patterns, and correlations.
- Develop and interpret 3D geological models and visualizations.
- Assist in resource estimation and mine planning activities through data analysis.
- Prepare technical reports, maps, and presentations on geological findings.
- Collaborate with geologists and mine engineers to provide data-driven insights.
- Ensure data integrity and maintain geological databases.
- Stay updated with the latest technologies and methodologies in geological data analysis.
- Bachelor's degree in Geology, Earth Sciences, Data Science, or a related field with a strong geological focus.
- Minimum of 3 years of experience in geological data analysis, preferably within the mining or exploration sector.
- Proficiency in geological modeling software (e.g., Leapfrog, Vulcan, Micromine) and data analysis tools (e.g., Python, R, SQL).
- Strong understanding of geological principles and mining processes.
- Experience with geophysical and geochemical data interpretation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to communicate complex technical information clearly and concisely.
- Experience with data visualization techniques and tools.
- This hybrid role requires regular on-site presence in **Nyeri, Nyeri, KE**, with flexibility for remote work on specific tasks.
Remote Geospatial Data Analyst (Mining)
Posted 2 days ago
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Remote Geophysical Data Analyst (Mining)
Posted 2 days ago
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Job Description
Key Responsibilities:
- Process and quality control raw geophysical data (e.g., seismic, magnetic, gravity, electromagnetic).
- Perform advanced data interpretation to identify geological structures and potential resource targets.
- Develop and maintain geophysical databases and models.
- Generate comprehensive reports and visualizations of findings.
- Collaborate with geologists and other geoscientists to integrate geophysical data with other geological information.
- Stay abreast of the latest advancements in geophysical methods and software.
- Contribute to the planning and design of geophysical surveys.
- Troubleshoot and resolve data processing issues.
- Ensure data integrity and adherence to company standards.
- Master's or Ph.D. in Geophysics, Earth Sciences, or a related field.
- Minimum of 5 years of experience in geophysical data processing and interpretation, preferably in the mining or exploration industry.
- Proficiency in industry-standard geophysical software (e.g., Petrel, Oasis Montaj, Geosoft).
- Strong programming skills (e.g., Python, MATLAB) for data analysis and automation are highly desirable.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication abilities, with the capacity to present complex technical information clearly.
- Proven ability to work independently and manage time effectively in a remote setting.
- Must have a reliable internet connection and a suitable home office environment.
Remote Geospatial Data Analyst (Mining)
Posted 2 days ago
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Remote Geospatial Data Analyst (Mining)
Posted 2 days ago
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Senior Data Scientist - Mining Operations
Posted 2 days ago
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Lead Data Scientist - Mining Analytics
Posted 2 days ago
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Job Description
Responsibilities:
- Lead the development and implementation of advanced statistical and machine learning models for mining applications.
- Analyze large, complex datasets from various sources to identify trends, patterns, and insights.
- Develop predictive models for equipment maintenance, resource estimation, and operational optimization.
- Design and conduct experiments to test hypotheses and validate models.
- Collaborate with domain experts to define project requirements and translate business needs into data science solutions.
- Mentor and guide junior data scientists, fostering a culture of learning and innovation.
- Communicate complex analytical findings to stakeholders through clear reports and visualizations.
- Develop and maintain data pipelines and ensure data quality.
- Stay current with the latest advancements in data science, machine learning, and mining technologies.
- Champion the use of data-driven decision-making across the organization.
- Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in data science, with a proven track record of delivering impactful analytical solutions.
- Extensive experience with statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop).
- Excellent communication, presentation, and interpersonal skills.
- Demonstrated leadership experience and ability to mentor a team.
- Ability to work effectively in a remote, collaborative environment.
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Remote Geologist & Data Analyst (Mining)
Posted 2 days ago
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Job Description
Responsibilities:
- Analyze geological and geophysical data from exploration, drilling, and mining operations.
- Develop and interpret geological models to identify potential ore bodies and estimate resource volumes.
- Utilize advanced statistical methods and data mining techniques to extract meaningful insights from complex datasets.
- Generate detailed reports, maps, and visualizations of geological data for internal stakeholders.
- Collaborate remotely with exploration teams, mine engineers, and management to inform strategic decisions.
- Evaluate and recommend areas for further exploration based on data analysis and geological interpretation.
- Ensure data integrity and accuracy throughout all stages of analysis.
- Stay abreast of new technologies and methodologies in geological data analysis and interpretation.
- Contribute to the development of exploration and mine planning strategies.
- Maintain up-to-date knowledge of mining regulations and best practices.
- Perform risk assessments related to geological uncertainties in resource estimation.
- Assist in the selection and implementation of geological software and tools.
- Communicate complex geological findings clearly and concisely to both technical and non-technical audiences.
- Master's degree or PhD in Geology, Geophysics, or a related Earth Science field.
- Minimum of 5 years of experience in geological analysis, resource estimation, or exploration geology.
- Proficiency in geological modeling software (e.g., Leapfrog, Vulcan, ioGAS).
- Strong expertise in data analysis, statistical modeling, and programming languages (e.g., Python, R) is highly desirable.
- Experience with GIS software (e.g., ArcGIS, QGIS) and data visualization tools.
- Excellent analytical and problem-solving skills.
- Ability to interpret complex geological data and translate it into actionable business insights.
- Strong written and verbal communication skills for effective remote collaboration.
- Ability to work independently and manage projects effectively in a remote environment.
- Familiarity with mining industry best practices and safety standards.
- Experience with machine learning techniques applied to geological data is a significant plus.
Lead Remote Sensing Data Analyst - Mining
Posted 2 days ago
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Primary Responsibilities:
- Acquire, process, and analyze various types of remote sensing data, including satellite imagery (optical and radar), aerial photography, and LiDAR, for mineral exploration targets.
- Develop and implement advanced algorithms and workflows for feature extraction, anomaly detection, and geological mapping using remote sensing data.
- Integrate remote sensing data with other geological datasets, such as geophysical surveys, geochemical data, and drilling information, to create comprehensive 3D models.
- Validate and interpret remote sensing-derived geological information, collaborating with geologists and geophysicists to refine exploration models.
- Manage and maintain a robust database of remote sensing data and associated metadata.
- Develop and present detailed reports and visualizations of analytical findings to project teams and management.
- Stay current with the latest advancements in remote sensing technologies, image processing techniques, and GIS software.
- Provide technical guidance and mentorship to junior analysts within the remote team.
- Ensure data quality, consistency, and adherence to best practices in data management and analysis.
- Contribute to the strategic planning of exploration programs by identifying key areas for investigation based on remote sensing analysis.
- Master's degree in Remote Sensing, Geoinformatics, Geology, Geography, or a related field.
- A minimum of 8 years of hands-on experience in processing and interpreting remote sensing data for geological applications, preferably within the mining industry.
- Proficiency in industry-standard remote sensing software (e.g., ERDAS IMAGINE, ENVI, ArcGIS Pro, QGIS) and programming languages (e.g., Python, R) for data analysis.
- Solid understanding of photogrammetry, digital image processing, spectral analysis, and classification techniques.
- Experience with various satellite platforms (e.g., Sentinel, Landsat, Planet) and their data products.
- Proven ability to manage large geospatial datasets and develop efficient data processing pipelines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a remote, collaborative team environment.
- Familiarity with geological concepts and mineral exploration workflows is a plus. The ideal candidate will be a self-starter, capable of independent work and proactive in identifying new opportunities for leveraging remote sensing data in exploration.
Remote Geo-data Analyst - Mining Operations
Posted 2 days ago
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Job Description
Responsibilities:
- Collect, process, and analyze geological, geophysical, and geochemical data from various sources.
- Develop and utilize geological models and databases to visualize and interpret subsurface structures.
- Perform statistical analysis on exploration data to assess resource potential and identify high-priority targets.
- Generate comprehensive reports, maps, and visualizations to communicate findings to exploration teams and management.
- Collaborate with field geologists to optimize data collection strategies and ensure data quality.
- Stay abreast of the latest technologies and methodologies in geo-data analysis and mining exploration.
- Develop and implement data quality assurance and quality control (QA/QC) protocols.
- Assist in the estimation of mineral resources and reserves using industry-standard software.
- Provide technical support and guidance to exploration teams on data interpretation.
- Contribute to the strategic planning of exploration programs based on data analysis.
- Maintain accurate and organized digital records of all analyzed data and findings.
- Ensure compliance with industry standards and best practices in data management and analysis.
- Bachelor's or Master's degree in Geology, Geophysics, Geoscience, or a related field with a strong focus on data analysis.
- Minimum of 3-5 years of experience in geological data analysis, with specific experience in the mining sector.
- Proficiency in geological software such as ArcGIS, Leapfrog, Vulcan, Surpac, or similar.
- Strong understanding of geostatistics and statistical analysis techniques relevant to resource estimation.
- Experience in processing and interpreting various types of geophysical and geochemical data.
- Excellent data visualization skills, with the ability to create clear and informative maps and cross-sections.
- Proficiency in programming languages such as Python or R for data analysis is highly desirable.
- Strong analytical and problem-solving skills with meticulous attention to detail.
- Excellent written and verbal communication skills, with the ability to explain complex technical information clearly.
- Ability to work independently and collaboratively in a fully remote team environment.
- Familiarity with mining exploration techniques and principles.
- Experience with large datasets and database management.
- Commitment to data integrity and accuracy.