312 Senior Data Scientist Roles jobs in Kenya
Remote Geologist & Data Analyst (Mining)
80200 Shella
KES90000 Annually
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Posted 4 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
Lead Data Scientist - Mining Analytics (Remote)
60100 Embu, Eastern
KES220000 Annually
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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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1
Remote Geospatial Data Analyst - Mining Operations
80100 Nairobi, Nairobi
KES75000 Monthly
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Posted 1 day 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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2
Senior Geological Engineer - Mining (Remote Data Analysis)
00100 Abothuguchi West
KES170000 Annually
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Posted 1 day 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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3
Machine Learning Engineer
40100 Abothuguchi West
KES420000 Annually
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Posted today
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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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4
Senior Data Scientist - Machine Learning
30200 Tuwan
KES350000 Annually
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Posted today
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Job Description
Our client is seeking an accomplished Senior Data Scientist specializing in Machine Learning to join their innovative, fully remote team. You will be at the forefront of developing and deploying advanced machine learning models to solve complex business challenges and drive data-driven decision-making across the organization. This role involves the entire machine learning lifecycle, from data collection and preprocessing to model development, validation, deployment, and monitoring. You will collaborate closely with cross-functional teams, including product managers, engineers, and business analysts, to identify opportunities where ML can create significant value. Expertise in a wide range of ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling is essential. You should be adept at feature engineering, model optimization, and interpreting model results to provide actionable insights. Experience with big data technologies and cloud platforms (AWS, Azure, GCP) is highly desirable. The ideal candidate will have a strong quantitative background, excellent problem-solving abilities, and a passion for staying current with the latest advancements in AI and ML research. You will contribute to building a robust data science practice, mentor junior team members, and communicate complex findings clearly to both technical and non-technical audiences.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement sophisticated machine learning models and algorithms.
- Conduct exploratory data analysis to identify patterns, trends, and actionable insights.
- Perform data preprocessing, cleaning, and feature engineering for model training.
- Evaluate and tune model performance using appropriate metrics and validation techniques.
- Deploy machine learning models into production environments and monitor their performance.
- Collaborate with engineering teams to integrate ML solutions into existing products and workflows.
- Stay abreast of the latest research and advancements in machine learning and artificial intelligence.
- Communicate complex technical findings and recommendations to stakeholders clearly and concisely.
- Mentor junior data scientists and contribute to the growth of the data science team.
- Develop and maintain documentation for data science projects and models.
- Work with large, complex datasets using big data technologies.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, with a strong focus on machine learning.
- Proven experience in developing and deploying production-level ML models.
- Proficiency in programming languages such as Python or R, and relevant ML libraries (scikit-learn, pandas, NumPy).
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Strong understanding of statistical modeling, algorithms, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation abilities.
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5
Principal Data Scientist - Machine Learning
90100 Mangu
KES12000 Daily
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Posted today
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Job Description
Our client, a pioneering bio-technology research firm, is seeking an exceptional Principal Data Scientist to lead our machine learning initiatives. This is a fully remote, highly influential position where you will drive the development of groundbreaking predictive models and AI-driven solutions. You will be responsible for defining the technical vision for our data science efforts, architecting complex ML pipelines, and mentoring a team of talented data scientists. The ideal candidate possesses a deep theoretical understanding of machine learning algorithms and extensive practical experience in deploying scalable ML models in real-world applications. You will work with vast datasets to extract actionable insights, uncover hidden patterns, and create innovative solutions that address critical scientific challenges. This role is deeply rooted in cutting-edge research and development, and you will be expected to publish your findings and contribute to the scientific community. The position is conceptually linked to **Machakos, Machakos, KE**, but the work is performed entirely remotely, allowing us to recruit top talent globally. We are looking for a strategic thinker with a proven track record of delivering impactful data science projects from conception to production. Your expertise will be invaluable in shaping the future direction of our R&D efforts. You will collaborate closely with domain experts, software engineers, and product managers to translate business needs into data-driven solutions. A strong emphasis is placed on innovation, intellectual curiosity, and the ability to communicate complex technical concepts to both technical and non-technical stakeholders. This is an opportunity to make a significant impact in a fast-paced, research-intensive environment. The compensation package includes a competitive salary, performance bonuses, and opportunities for professional growth.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of advanced machine learning models.
- Define and drive the data science roadmap and strategy for the organization.
- Mentor and guide junior data scientists and researchers.
- Explore, clean, and analyze large, complex datasets from diverse sources.
- Develop and maintain scalable ML pipelines for production deployment.
- Conduct rigorous A/B testing and model evaluation to ensure performance and reliability.
- Communicate complex findings and recommendations to stakeholders at all levels.
- Stay abreast of the latest research and advancements in machine learning and artificial intelligence.
- Contribute to intellectual property and publish findings in leading journals and conferences.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field with a specialization in Machine Learning.
- Minimum of 7 years of hands-on experience in data science and machine learning, with at least 3 years in a lead or principal role.
- Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and classical ML algorithms.
- Strong programming skills in Python and experience with relevant libraries (e.g., scikit-learn, pandas, NumPy).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Excellent understanding of experimental design, statistical modeling, and hypothesis testing.
- Exceptional problem-solving, analytical, and communication skills.
- Demonstrated ability to lead and inspire technical teams.
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6
Graduate Data Scientist - Machine Learning
20100 Mwembe
KES75000 Monthly
WhatJobs
Posted 1 day ago
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Job Description
Our client is an innovative technology firm at the cutting edge of data science and artificial intelligence. We are actively seeking bright and enthusiastic Graduate Data Scientists to join our fully remote internship program. This is an exceptional opportunity for recent graduates with a passion for machine learning and a strong analytical mindset to gain hands-on experience in a dynamic, real-world setting. You will work alongside experienced data scientists, contributing to projects that involve data collection, cleaning, analysis, and the development of predictive models. You will have the chance to apply your academic knowledge to solve complex business problems and contribute to impactful insights. The ideal candidate will possess a solid foundation in statistical modeling, programming (Python/R), and machine learning algorithms. This internship is designed to foster your growth and provide invaluable practical experience in a remote-first environment, allowing you to develop your skills and build a strong foundation for a career in data science.
Key Responsibilities:
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop, train, and evaluate machine learning models using Python or R.
- Implement algorithms for tasks such as classification, regression, clustering, and natural language processing.
- Collaborate with senior data scientists on project design and execution.
- Document methodologies, code, and findings clearly and comprehensively.
- Present project results and insights to the team.
- Stay updated on the latest advancements in data science and machine learning.
- Participate in code reviews and contribute to team discussions.
- Gain practical experience in utilizing cloud platforms for data science tasks.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVM, neural networks).
- Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) or R.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, ggplot2).
- Basic knowledge of SQL for data querying.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine interest in leveraging data to drive business decisions.
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7
Principal Data Scientist - Machine Learning
30100 Embu, Eastern
KES230000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking a highly accomplished Principal Data Scientist with a deep expertise in machine learning to join their innovative, fully remote analytics team. This is a senior leadership role where you will drive the development and deployment of advanced machine learning models to solve complex business challenges. You will be responsible for conceptualizing, designing, and implementing cutting-edge ML solutions, from data acquisition and preprocessing to model training, evaluation, and productionization. Your work will span various domains, including predictive modeling, anomaly detection, recommendation systems, and natural language processing. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, coupled with extensive hands-on experience. Mastery of ML algorithms, statistical modeling, and data mining techniques is essential. Proficiency in Python and/or R, along with experience in ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) and big data technologies (e.g., Spark, Hadoop) is required. You should have a strong track record of successfully delivering data science projects from inception to deployment, including experience with MLOps practices. Excellent communication and presentation skills are necessary to effectively convey complex findings and insights to both technical and non-technical stakeholders. This is an exceptional opportunity for a passionate data scientist to lead impactful projects, mentor junior team members, and contribute significantly to our data-driven strategy in a collaborative, remote-first setting. We are looking for an individual with a strong scientific curiosity, a rigorous approach to problem-solving, and a commitment to pushing the boundaries of data science.
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8
Junior Data Scientist - Machine Learning
10300 Meru , Eastern
KES80000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is looking for an ambitious and eager Junior Data Scientist to join their innovative team on a fully remote, internship basis. This is an excellent opportunity for a recent graduate or an individual looking to gain hands-on experience in machine learning and data analysis. You will work under the guidance of senior data scientists, contributing to projects that involve building and deploying machine learning models, performing data wrangling, and generating insightful reports. The ideal candidate will have a strong foundation in statistical principles, programming (preferably Python or R), and a keen interest in machine learning algorithms. You will gain exposure to various data science tools and techniques, helping to solve real-world business problems. Key responsibilities include data preprocessing, feature engineering, model training and evaluation, and communicating findings through visualizations and presentations. This remote internship requires self-motivation, excellent problem-solving skills, and the ability to learn quickly and adapt to new technologies. Strong communication skills are essential for collaborating with a distributed team and for presenting your work. This role offers a fantastic learning environment with mentorship and the opportunity to make a meaningful contribution to impactful projects. We are seeking individuals who are passionate about data and eager to develop their skills in a professional setting.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets.
- Develop and implement machine learning models under supervision.
- Perform feature engineering and selection.
- Evaluate model performance and identify areas for improvement.
- Create data visualizations to communicate insights.
- Collaborate with senior data scientists and engineers.
- Document methodologies and findings.
- Participate in team meetings and contribute to project discussions.
- Learn and apply new data science techniques and tools.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Foundational knowledge of machine learning algorithms and concepts.
- Proficiency in Python or R, including relevant data science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch).
- Familiarity with SQL and database querying.
- Strong analytical and problem-solving abilities.
- Good written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and grow in a data science environment.
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