1,704 Senior Data Scientist Roles jobs in Kenya
Geological Data Analyst (Mining)
20117 Nyeri Town
KES70000 Monthly
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Posted 7 days ago
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Job Description
Our client is seeking a meticulous and technically proficient Geological Data Analyst to join their team, operating on a hybrid model in **Nyeri, Nyeri, KE**. This role is integral to our mining operations, focusing on the interpretation, analysis, and visualization of geological data to support exploration, resource estimation, and mine planning. You will work with a variety of geological datasets, including drill core data, geophysical surveys, and geochemical analyses, using specialized software to identify trends, anomalies, and potential ore bodies. Responsibilities include data cleaning and validation, generating geological models and maps, performing statistical analysis on geological parameters, and preparing reports and presentations for geologists and management. The ideal candidate will have a strong understanding of geological principles, advanced proficiency in data analysis and visualization tools, and experience with mining-related software. You will collaborate closely with on-site geologists and exploration teams, as well as contribute to remote data analysis tasks. This hybrid role offers the opportunity to blend field insights with sophisticated data work, contributing directly to the success of our mining ventures. A proactive approach to problem-solving and a keen eye for detail are essential for this position.
Responsibilities:
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.
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0
Senior Data Scientist - Mining Operations
30200 Tuwan
KES380000 Annually
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Posted 7 days ago
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Job Description
Our client is seeking a highly skilled and experienced Senior Data Scientist to contribute to their advanced mining operations. This is a fully remote role, offering the flexibility to work from anywhere while making a significant impact. You will be responsible for developing and implementing sophisticated analytical models and machine learning algorithms to optimize mining processes, improve resource extraction efficiency, and enhance safety protocols. Your work will involve analyzing vast datasets related to geological surveys, operational performance, equipment maintenance, and environmental monitoring. Key responsibilities include identifying patterns, trends, and anomalies within this data to derive actionable insights. You will collaborate closely with geologists, mining engineers, and operational managers to translate business needs into data science solutions. This role requires proficiency in data wrangling, statistical modeling, predictive analytics, and the ability to communicate complex findings to both technical and non-technical stakeholders. You will also be involved in designing and conducting A/B tests for new operational strategies and evaluating their effectiveness. The ideal candidate will hold a Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field, with a minimum of 7 years of relevant experience. Proven experience in applying data science techniques to solve real-world problems in the mining or heavy industry sector is essential. Expertise in programming languages such as Python or R, and familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure) are highly desirable. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data visualization tools is also required. Strong analytical, problem-solving, and communication skills are paramount. This is an exceptional opportunity for a seasoned data scientist to leverage cutting-edge technology and drive innovation in the mining industry from a remote work environment. Your strategic insights and technical prowess will be instrumental in optimizing our client's operations and achieving their business objectives.
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1
Lead Data Scientist - Mining Analytics
00100 Abothuguchi West
KES680000 Annually
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Posted 7 days ago
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Job Description
Our client, a forward-thinking company revolutionizing the mining industry through data-driven insights, is seeking a Lead Data Scientist to spearhead their advanced analytics initiatives. This is a pivotal fully remote role where you will leverage your expertise to extract actionable intelligence from complex mining data, driving operational efficiency and safety improvements. You will be responsible for developing and implementing cutting-edge machine learning models and statistical analyses to predict equipment failures, optimize resource extraction, enhance safety protocols, and improve geological modeling. Your work will involve exploring diverse datasets, including sensor data, operational logs, geological surveys, and production reports. The ideal candidate possesses a strong background in statistical modeling, machine learning algorithms, and data visualization. You will lead projects from conception to deployment, mentoring junior data scientists and collaborating closely with domain experts in geology, operations, and engineering. This role requires exceptional problem-solving abilities, a passion for innovation, and the capacity to translate complex findings into clear, business-oriented recommendations. You will play a critical role in shaping the future of mining operations through advanced analytics, ensuring our client remains at the forefront of technological advancement in the sector. The ability to manage projects, communicate effectively across different technical and non-technical teams, and thrive in a distributed, collaborative environment is essential. You will be instrumental in building predictive models that optimize mining processes, reduce costs, and mitigate risks.
Responsibilities:
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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2
Remote Geospatial Data Analyst (Mining)
20100 Mwembe
KES98000 Annually
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Posted 7 days ago
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Our client, a leading company in the mining sector, is seeking a skilled and analytical Remote Geospatial Data Analyst to support their exploration and operational activities. This is a 100% remote position, offering an excellent opportunity for an expert in spatial data to contribute to critical projects from anywhere. You will be responsible for collecting, processing, analyzing, and visualizing vast amounts of geospatial data to identify mineral deposits, optimize mine planning, and monitor environmental impacts. The ideal candidate will possess a strong background in GIS (Geographic Information Systems) and remote sensing, with expertise in relevant software such as ArcGIS, QGIS, and ENVI. Proficiency in programming languages commonly used in geospatial analysis, such as Python or R, is highly desirable. Strong analytical and problem-solving skills are essential for interpreting complex spatial datasets and deriving actionable insights. Your responsibilities will include managing geospatial databases, performing spatial analysis (e.g., buffer analysis, overlay analysis, interpolation), creating detailed maps and visualizations, and integrating data from various sources, including satellite imagery, aerial photography, and field surveys. You will collaborate closely with geologists, mining engineers, and environmental scientists to provide data-driven support for decision-making. A Bachelor's or Master's degree in Geography, Geomatics, Earth Sciences, or a related field with a focus on GIS and remote sensing is required. At least five years of progressive experience in geospatial data analysis, preferably within the mining or natural resources sector, is necessary. Experience working remotely and a proven ability to manage complex data projects independently are critical. Familiarity with geological data models and mining exploration techniques is a plus. If you are a data-driven professional with a passion for leveraging geospatial technology to unlock insights in the mining industry and thrive in a remote work environment, we encourage you to apply. This role offers a competitive salary, benefits package, and the chance to contribute to significant resource development projects. You will be at the forefront of using advanced spatial technologies to shape the future of mining operations. The role is technically anchored to **Nakuru, Nakuru, KE**, but the work itself is conducted entirely remotely.
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3
Remote Geophysical Data Analyst (Mining)
01001 Makongeni
KES150000 Annually
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Posted 7 days ago
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Job Description
Our client, a leader in geological exploration, is seeking a highly skilled and analytical Geophysical Data Analyst to join their globally distributed team. This is a fully remote position, requiring you to work from your own dedicated workspace. The successful candidate will be responsible for processing, interpreting, and visualizing complex geophysical datasets acquired from various exploration projects. You will play a crucial role in identifying potential mineral deposits and contributing to strategic decision-making in resource exploration. This role demands a strong understanding of geophysical principles, advanced data processing techniques, and proficiency in specialized software. The ability to work independently, manage multiple projects, and communicate findings effectively to both technical and non-technical stakeholders is paramount. We are looking for individuals with a passion for uncovering earth's resources through cutting-edge technology.
Key Responsibilities:
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.
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4
Remote Geospatial Data Analyst (Mining)
10100 Nyeri Town
KES95000 Monthly
WhatJobs
Posted 7 days ago
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Job Description
Our client is seeking a skilled and analytical Geospatial Data Analyst specializing in the mining sector for a fully remote position. This role requires an individual with a strong background in analyzing large-scale geospatial datasets to support exploration, resource estimation, and mine planning activities. You will be responsible for processing, interpreting, and visualizing geological and topographical data using advanced GIS software and techniques. Your insights will be critical in identifying potential mineral deposits, optimizing extraction strategies, and ensuring operational efficiency and safety. Key responsibilities include managing spatial databases, performing geostatistical analysis, creating detailed maps and reports, and collaborating with geologists, engineers, and other stakeholders remotely. The ideal candidate will have experience with relevant software such as ArcGIS, QGIS, and potentially specialized mining software. Proficiency in data manipulation and scripting languages (e.g., Python, R) for automating workflows is highly desirable. You will also be involved in the evaluation of new data sources and technologies to enhance analytical capabilities. A thorough understanding of geological principles and mining processes is essential to effectively translate data into actionable intelligence. This role demands a meticulous attention to detail, strong problem-solving skills, and the ability to communicate complex technical information clearly and concisely to both technical and non-technical audiences. As this is a fully remote role, excellent self-management skills and a dedicated home office setup are required. Our client is committed to fostering a collaborative and innovative remote work environment. If you are a data-driven professional passionate about the intersection of geospatial technology and the mining industry, this opportunity offers significant scope for professional growth and impact. The successful candidate will contribute to key decision-making processes within exploration and mining operations. This position is based in **Nyeri, Nyeri, KE**, but is entirely remote.
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5
Remote Geospatial Data Analyst (Mining)
60200 Meru , Eastern
KES90000 Annually
WhatJobs
Posted 7 days ago
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Job Description
We are looking for a skilled Remote Geospatial Data Analyst with a specialization in the mining sector to join our expanding virtual team. This position is critical for supporting exploration, resource estimation, and operational planning through advanced spatial analysis and visualization. As a remote employee, you will be responsible for collecting, processing, and interpreting large volumes of geospatial data, including satellite imagery, aerial photography, and geological surveys. Your work will involve creating detailed maps, 3D models, and reports to identify promising mineral deposits, optimize mine site layouts, and monitor environmental impacts. You will utilize specialized GIS software and analytical techniques to perform tasks such as resource mapping, reserve estimation, and feasibility studies. Strong knowledge of geological principles and mining processes is essential. The ability to collaborate effectively with geologists, engineers, and other stakeholders in a virtual environment is paramount. This role requires meticulous attention to detail, exceptional problem-solving skills, and the capacity to work independently with minimal supervision. Proficiency in GIS software (e.g., ArcGIS, QGIS) and data analysis tools is mandatory. Experience with scripting languages (e.g., Python) for automating workflows and advanced spatial analysis techniques is highly preferred. You will be instrumental in providing data-driven insights that guide critical decisions in the mining industry, contributing to efficient resource development and sustainable practices, all from your remote workspace.
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6
Remote Geologist & Data Analyst (Mining)
80200 Shella
KES90000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client is seeking a highly analytical and experienced Remote Geologist & Data Analyst to join their innovative mining operations team. This is a fully remote position, requiring a deep understanding of geological principles and advanced data analysis techniques. You will be responsible for analyzing vast datasets from exploration and mining activities, identifying geological trends, assessing resource potential, and providing crucial insights to guide extraction strategies. The ideal candidate possesses strong skills in geological modeling software, data visualization tools, and statistical analysis, coupled with excellent written and verbal communication skills for remote collaboration.
Responsibilities:
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.
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7
Lead Data Scientist - Mining Analytics (Remote)
00100 Abothuguchi West
KES450000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client is looking for a highly skilled and experienced Lead Data Scientist to spearhead their data analytics initiatives within the mining sector. This is a pivotal remote role, offering the chance to drive innovation and strategic decision-making through advanced data insights from anywhere in the world. You will lead a team of data scientists and analysts, guiding the development and implementation of sophisticated analytical models to optimize mining operations, improve safety, and enhance resource exploration. Your responsibilities will include defining the data science roadmap, identifying key business challenges that can be addressed with data, and translating these into data science projects.
You will be responsible for designing, building, and deploying machine learning models for predictive maintenance, operational efficiency, geological modeling, and risk assessment. This involves data acquisition, cleaning, feature engineering, model training, validation, and deployment. Collaborating closely with geologists, engineers, and operations managers, you will provide actionable insights and recommendations based on rigorous data analysis. Mentoring junior data scientists, fostering a culture of data-driven decision-making, and staying abreast of the latest advancements in data science and AI will be key aspects of this role. You will also be involved in communicating complex findings to senior leadership and stakeholders through compelling visualizations and presentations.
The ideal candidate possesses a PhD or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, with a strong track record in data science leadership. Proven experience in applying machine learning techniques to real-world problems, particularly within the mining or a related heavy industry, is essential. Expertise in programming languages like Python or R, and proficiency with data manipulation and visualization tools are required. Strong understanding of cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. Excellent leadership, communication, and problem-solving skills are crucial for success in this remote leadership position. Drive impactful change in the mining industry through cutting-edge data science.
You will be responsible for designing, building, and deploying machine learning models for predictive maintenance, operational efficiency, geological modeling, and risk assessment. This involves data acquisition, cleaning, feature engineering, model training, validation, and deployment. Collaborating closely with geologists, engineers, and operations managers, you will provide actionable insights and recommendations based on rigorous data analysis. Mentoring junior data scientists, fostering a culture of data-driven decision-making, and staying abreast of the latest advancements in data science and AI will be key aspects of this role. You will also be involved in communicating complex findings to senior leadership and stakeholders through compelling visualizations and presentations.
The ideal candidate possesses a PhD or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, with a strong track record in data science leadership. Proven experience in applying machine learning techniques to real-world problems, particularly within the mining or a related heavy industry, is essential. Expertise in programming languages like Python or R, and proficiency with data manipulation and visualization tools are required. Strong understanding of cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. Excellent leadership, communication, and problem-solving skills are crucial for success in this remote leadership position. Drive impactful change in the mining industry through cutting-edge data science.
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8
Lead Data Scientist - Mining Analytics (Remote)
60100 Embu, Eastern
KES220000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client, a leader in the mining sector, is looking for a highly experienced Lead Data Scientist to drive innovation in mining analytics. This fully remote role is for an individual passionate about leveraging data to optimize exploration, extraction, and processing operations. You will lead a team of data scientists and analysts, setting the strategic direction for data-driven insights that enhance efficiency, safety, and sustainability within the mining industry. Your expertise will be crucial in developing advanced analytical models to address complex challenges in geology, metallurgy, and operational management.
You will be responsible for identifying key business questions, defining data requirements, and building robust machine learning models and algorithms. This includes working with diverse datasets from geological surveys, sensor data, operational logs, and financial records. The ideal candidate will have a proven track record of leading data science projects from concept to deployment, demonstrating measurable impact. Strong skills in programming languages like Python or R, experience with big data technologies, and a solid understanding of statistical modeling and machine learning techniques are essential. You should also possess excellent communication skills to translate complex analytical findings into actionable business recommendations for stakeholders at various levels. This is a fully remote position, allowing you to contribute from your preferred location.
Responsibilities:
You will be responsible for identifying key business questions, defining data requirements, and building robust machine learning models and algorithms. This includes working with diverse datasets from geological surveys, sensor data, operational logs, and financial records. The ideal candidate will have a proven track record of leading data science projects from concept to deployment, demonstrating measurable impact. Strong skills in programming languages like Python or R, experience with big data technologies, and a solid understanding of statistical modeling and machine learning techniques are essential. You should also possess excellent communication skills to translate complex analytical findings into actionable business recommendations for stakeholders at various levels. This is a fully remote position, allowing you to contribute from your preferred location.
Responsibilities:
- Lead the development and implementation of advanced analytical models and machine learning algorithms to address complex challenges in mining operations, exploration, and processing.
- Define data strategy, identify key business questions, and translate them into data science projects.
- Extract, clean, and transform large, complex datasets from various sources including geological, operational, and financial data.
- Develop predictive models for resource estimation, ore body characterization, equipment failure prediction, and process optimization.
- Design and implement data visualization dashboards to communicate complex findings to technical and non-technical stakeholders.
- Mentor and guide a team of data scientists and analysts, fostering a culture of innovation and collaboration.
- Stay abreast of the latest advancements in data science, machine learning, and big data technologies, particularly as they apply to the mining industry.
- Collaborate with geologists, engineers, and operational managers to ensure data insights are integrated into decision-making processes.
- Evaluate and implement new data science tools and platforms to enhance analytical capabilities.
- Ensure data quality, integrity, and ethical use throughout the data lifecycle.
- Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Geostatistics, or a related quantitative field.
- 7+ years of experience in data science or advanced analytics, with a significant portion focused on the mining or natural resources sector.
- Proven experience leading data science teams and projects.
- Expertise in machine learning techniques (e.g., regression, classification, clustering, deep learning) and statistical modeling.
- Proficiency in programming languages such as Python (with libraries like Pandas, Scikit-learn, TensorFlow/PyTorch) or R.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of geological and mining processes.
- Excellent communication, presentation, and stakeholder management skills.
This advertiser has chosen not to accept applicants from your region.
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