246 Data Science Principles jobs in Kenya
Remote Geologist & Data Analyst (Mining)
80200 Shella
KES90000 Annually
WhatJobs
Posted 5 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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0
Remote Geospatial Data Analyst - Mining Operations
00400 Abothuguchi West
KES150000 Annually
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Posted today
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Job Description
Our client, a forward-thinking mining company with a commitment to sustainable resource extraction, is seeking a skilled Remote Geospatial Data Analyst. This fully remote position will leverage your expertise in spatial analysis and data interpretation to support our exploration and operational planning. You will be responsible for collecting, processing, and analyzing vast datasets from various sources, including satellite imagery, aerial photography, and ground surveys, to identify potential mineral deposits and optimize extraction strategies. Your work will involve developing and maintaining geographic information systems (GIS) databases, creating detailed maps and visualizations, and generating reports that inform critical business decisions. You will employ advanced analytical techniques and software to assess geological formations, environmental impacts, and logistical efficiencies related to our mining sites. Collaboration with geologists, engineers, and environmental scientists will be crucial, providing them with the geospatial insights needed to guide their work. The ideal candidate possesses a strong understanding of geological principles, mining processes, and spatial data management. Proficiency in GIS software (e.g., ArcGIS, QGIS) and data analysis tools (e.g., Python, R) is essential. Experience with remote sensing data processing and interpretation is highly desirable. Excellent analytical, problem-solving, and communication skills are required to translate complex data into actionable intelligence for stakeholders. A bachelor's or master's degree in geology, geography, environmental science, or a related field with a specialization in GIS is preferred. This is a unique opportunity to contribute to the efficiency and sustainability of mining operations from a remote setting, impacting projects relevant to areas like Garissa, Garissa, KE and other operational zones.
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1
Lead Data Scientist - Mining Analytics (Remote)
60100 Embu, Eastern
KES220000 Annually
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Posted 2 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.
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2
Remote Geospatial Data Analyst - Mining Operations
80100 Nairobi, Nairobi
KES75000 Monthly
WhatJobs
Posted 3 days ago
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Job Description
Our client, a forward-thinking entity in the mining sector, is actively recruiting a skilled Geospatial Data Analyst for a fully remote position. This role is critical for enhancing operational efficiency and exploration success by leveraging advanced spatial analysis techniques. You will be responsible for collecting, processing, and interpreting large volumes of geospatial data, including satellite imagery, aerial photography, and drone surveys, to identify mineral deposits, optimize extraction routes, and monitor environmental impact. Utilizing industry-standard GIS software and scripting languages, you will develop predictive models, create detailed maps, and generate reports that inform critical business decisions. Collaboration with geologists, mining engineers, and environmental scientists is a key aspect of this role, requiring clear communication of complex spatial information. The ideal candidate will have a proven track record in applying geospatial technologies to resource exploration or operational management within the mining industry. Strong analytical skills, proficiency in Python or R for data analysis, and experience with remote sensing techniques are essential. You will also be involved in data quality assurance and database management to ensure the integrity of our spatial information assets. This is an exceptional opportunity to contribute to significant mining projects while enjoying the flexibility of a remote work environment. We are looking for a proactive individual who can work autonomously, manage project timelines effectively, and contribute innovative solutions to challenging problems. Your expertise will be vital in discovering and responsibly extracting valuable resources, making this a high-impact position within our organization. The ability to visualize and communicate findings effectively to both technical and non-technical audiences is paramount.
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3
Senior Geological Engineer - Mining (Remote Data Analysis)
00100 Abothuguchi West
KES170000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a leader in the mining industry, is seeking a highly experienced Senior Geological Engineer specializing in remote data analysis to join their advanced, fully remote technical team. This critical role involves leveraging geological data, modeling techniques, and advanced software to support exploration, resource estimation, and mine planning operations. You will be instrumental in interpreting complex geological datasets, developing robust 3D models, and providing crucial insights to guide strategic decision-making in resource development. The ideal candidate will possess a strong background in mining geology, excellent analytical skills, and a proven ability to work independently and effectively within a virtual environment. This position requires a deep understanding of geological principles and a passion for driving innovation in resource evaluation.
Key Responsibilities:
Key Responsibilities:
- Analyze geological data from exploration drilling, sampling, and geophysical surveys to identify and characterize mineral deposits.
- Develop and maintain detailed 3D geological models and resource estimation models using industry-standard software.
- Interpret geological data to assess ore grade, geological continuity, and potential mining challenges.
- Collaborate remotely with mine planning engineers, geologists, and other stakeholders to provide critical geological input for mine design and operational planning.
- Conduct geological risk assessments and provide recommendations for mitigation strategies.
- Prepare technical reports, presentations, and visualizations to communicate geological findings and resource estimates to management and stakeholders.
- Stay abreast of advancements in geological modeling software, exploration techniques, and resource estimation methodologies.
- Ensure data integrity and adherence to relevant industry standards (e.g., JORC, NI 43-101).
- Assist in the evaluation of exploration targets and potential acquisition opportunities.
- Provide remote technical guidance and mentorship to junior geological staff.
- Master's degree in Geology, Geological Engineering, Mining Engineering, or a closely related field.
- Professional Geoscientist (P.Geo) or equivalent professional registration is highly desirable.
- Minimum of 8 years of progressive experience in geological engineering or mining geology, with a strong focus on resource estimation and geological modeling.
- Proven expertise in developing and interpreting 3D geological models using software such as Leapfrog, Micromine, Vulcan, or similar platforms.
- Strong understanding of geostatistics and resource estimation techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proficiency in data analysis, statistical interpretation, and visualization tools.
- Exceptional communication and reporting skills, with the ability to present complex technical information clearly and concisely in a remote setting.
- Ability to work independently, manage multiple projects, and meet deadlines effectively in a fully remote environment.
- Experience with various mineral deposit types is a plus.
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4
Machine Learning Engineer
80201 Shella
KES950000 Annually
WhatJobs
Posted today
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Job Description
Our client is seeking a talented and innovative Machine Learning Engineer to join their cutting-edge AI team, operating entirely remotely. This role is central to developing, deploying, and scaling machine learning models that drive transformative solutions. You will work on challenging problems, leveraging vast datasets and advanced algorithms to create intelligent systems.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms for various applications.
- Process, clean, and transform large datasets to prepare them for model training.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Develop and maintain robust ML pipelines for training, evaluation, and deployment.
- Monitor model performance in production and implement improvements and retraining strategies.
- Research and evaluate new ML techniques, tools, and technologies.
- Contribute to the development of AI strategy and roadmaps.
- Write clean, efficient, and well-documented code in Python or other relevant languages.
- Optimize ML models for performance, scalability, and efficiency.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning.
- Collaborate effectively with cross-functional teams in a remote environment.
- Document research, experiments, and model details thoroughly.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 4-6 years of experience in machine learning engineering or a related role.
- Proven experience in developing and deploying ML models into production environments.
- Strong programming skills in Python and proficiency with ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of statistical modeling, data mining, and algorithm development.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, adept at working in a distributed, remote team.
- Ability to work independently and manage project priorities effectively.
- This is a fully remote position, offering flexibility and the opportunity to work on groundbreaking AI projects from anywhere. Your contributions will be vital to our client's innovation efforts in areas impacting Malindi, Kilifi, KE .
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5
Machine Learning Engineer
40100 Abothuguchi West
KES420000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a pioneering company in Artificial Intelligence and Machine Learning, is actively seeking a talented and innovative Machine Learning Engineer to join their cutting-edge, fully remote development team. This is a unique opportunity to work on challenging problems at the forefront of AI, developing, deploying, and scaling advanced machine learning models and systems. The ideal candidate will possess a strong foundation in computer science, a deep understanding of machine learning algorithms, and hands-on experience with ML frameworks and large-scale data processing. You will be responsible for designing ML architectures, training models, evaluating performance, and integrating them into production environments. Key responsibilities include collaborating with data scientists and software engineers, staying current with ML research, and contributing to the development of novel AI solutions. Excellent programming skills, problem-solving abilities, and a passion for innovation are essential for success in this remote role.
Responsibilities:
Responsibilities:
- Design, develop, train, and deploy machine learning models and algorithms to solve complex business problems.
- Implement and maintain scalable ML infrastructure and pipelines for data processing, model training, and deployment.
- Collaborate with data scientists to translate research models into production-ready systems.
- Perform feature engineering, model selection, hyperparameter tuning, and performance evaluation.
- Develop and implement strategies for monitoring and maintaining ML models in production.
- Write clean, efficient, and well-documented code in languages such as Python.
- Stay up-to-date with the latest advancements in machine learning research, techniques, and tools.
- Contribute to the overall architecture and design of AI systems.
- Work with large datasets and distributed computing frameworks.
- Collaborate effectively with cross-functional teams in a remote environment.
- Identify opportunities for applying ML to improve products and processes.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of professional experience in machine learning engineering or a related role.
- Strong programming skills in Python and experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of fundamental machine learning concepts, algorithms (e.g., supervised, unsupervised, deep learning), and statistical modeling.
- Experience with data processing and big data technologies (e.g., Spark, Hadoop).
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a distributed team.
- Experience with natural language processing (NLP), computer vision, or reinforcement learning is a plus.
- A proactive approach to learning and staying current with AI advancements.
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6
Principal Machine Learning Engineer
20200 Mwembe
KES300000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is at the forefront of AI innovation and is actively seeking a Principal Machine Learning Engineer to lead the development and deployment of advanced AI solutions. This is a fully remote, high-impact role for a seasoned professional with a passion for pushing the boundaries of artificial intelligence. You will be responsible for designing, building, and maintaining scalable machine learning systems, from ideation to production. This includes developing sophisticated algorithms, training complex models, and optimizing their performance for real-world applications. The Principal ML Engineer will play a critical role in shaping the company's AI strategy, collaborating closely with data scientists, software engineers, and product managers. Key responsibilities involve researching and implementing state-of-the-art ML techniques, mentoring junior engineers, and contributing to the overall technical vision of the AI team. A deep understanding of ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and data engineering principles is essential. Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is highly desirable. The ideal candidate will possess exceptional problem-solving skills, a strong capacity for innovation, and the ability to tackle complex technical challenges independently. Excellent communication and leadership abilities are crucial for guiding technical discussions and influencing project direction within a distributed team. We are looking for an individual who thrives in a fast-paced, cutting-edge environment and is committed to delivering impactful AI-driven products. This is an exceptional opportunity to make a significant contribution to the future of AI and build your career at a leading technology organization, working entirely from your chosen location. Join a world-class team dedicated to solving challenging problems with intelligent systems.
This advertiser has chosen not to accept applicants from your region.
7
Remote Machine Learning Engineer
01000 Makongeni
KES160000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is a cutting-edge AI research and development firm seeking a highly skilled and innovative Remote Machine Learning Engineer to join their distributed team. This fully remote role is perfect for an individual passionate about building and deploying state-of-the-art machine learning models that solve complex real-world problems. You will work on challenging projects, collaborate with top AI talent, and contribute to the advancement of AI technologies, all from your home office. We are looking for a candidate with strong programming skills, a deep understanding of ML algorithms, and experience in MLOps and production deployment. Key Responsibilities:
- Design, develop, train, and deploy machine learning models for various applications, including but not limited to NLP, computer vision, and predictive analytics.
- Implement and optimize ML algorithms and data preprocessing pipelines for scalability and efficiency.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Develop and maintain MLOps pipelines for model training, evaluation, deployment, and monitoring.
- Conduct thorough experimentation and analysis to identify the best models and features for specific tasks.
- Write clean, maintainable, and well-documented code in Python and other relevant languages.
- Stay current with the latest research papers, techniques, and tools in machine learning and AI.
- Optimize model performance for inference speed and resource utilization.
- Contribute to the architectural design of ML systems and platforms.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- Participate in code reviews and provide constructive feedback to peers.
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- 3+ years of hands-on experience in developing and deploying machine learning models in production environments.
- Strong proficiency in Python and experience with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
- Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services (e.g., SageMaker, Azure ML, Vertex AI).
- Familiarity with MLOps principles and tools (e.g., Docker, Kubernetes, MLflow, CI/CD for ML).
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving and analytical skills.
- Ability to work effectively in a fast-paced, collaborative, and remote-first environment.
- Strong communication skills, with the ability to explain complex technical concepts clearly.
- Proficiency in version control systems like Git.
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8
Lead Machine Learning Engineer
00100 Abothuguchi West
KES400000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is at the cutting edge of AI research and development, and we are seeking a Lead Machine Learning Engineer to spearhead our initiatives. This is a fully remote position that offers the chance to shape the future of intelligent systems. You will be responsible for designing, developing, and deploying sophisticated machine learning models and algorithms that solve complex business problems. This includes leading the entire ML lifecycle, from data acquisition and preprocessing to model training, evaluation, and production deployment. The ideal candidate possesses a strong foundation in statistical modeling, algorithms, and programming, coupled with extensive experience in deep learning frameworks like TensorFlow or PyTorch. You will guide a team of talented ML engineers, mentor them on best practices, and ensure the delivery of high-impact solutions. Collaboration with data scientists, software engineers, and product managers will be essential to translate business needs into actionable ML strategies. This role requires exceptional problem-solving skills, a passion for innovation, and the ability to thrive in a challenging, remote-first environment. Your expertise will be crucial in areas such as natural language processing, computer vision, recommendation systems, or predictive analytics, depending on project needs. We are looking for a visionary leader who can drive research, implement cutting-edge techniques, and ensure the scalability and robustness of our ML systems in production. Your ability to communicate complex technical concepts clearly to both technical and non-technical audiences will be highly valued. This is a premier opportunity to leave your mark on the AI landscape while enjoying the flexibility of remote work.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the design, development, and deployment of machine learning models and algorithms.
- Manage and mentor a team of machine learning engineers.
- Oversee the end-to-end ML lifecycle, including data pipelines, feature engineering, model training, and validation.
- Implement advanced ML techniques for areas such as NLP, computer vision, or time-series analysis.
- Ensure the scalability, performance, and reliability of ML models in production environments.
- Collaborate with data scientists, software engineers, and stakeholders to define project requirements and deliverables.
- Conduct research on new ML algorithms and technologies to drive innovation.
- Optimize ML models for efficiency and performance on various hardware platforms.
- Develop and maintain MLOps best practices for continuous integration, deployment, and monitoring.
- Communicate technical findings and recommendations to both technical and business audiences.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 7+ years of experience in machine learning engineering or data science.
- Proven leadership experience in managing ML engineering teams.
- Expertise in Python and ML libraries (e.g., Scikit-learn, Pandas, NumPy).
- Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of statistical modeling, algorithm design, and evaluation metrics.
- Experience with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow, CI/CD).
- Familiarity with big data technologies (e.g., Spark, Hadoop).
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and lead projects in a remote setting.
This advertiser has chosen not to accept applicants from your region.
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