4 Database Management jobs in Kenya
Senior Remote Data Scientist - Climate Modeling
70100 Kisumu
KES850000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and experienced Senior Remote Data Scientist to join their cutting-edge scientific research and development team. This is a fully remote position, offering the flexibility to work from anywhere. You will be instrumental in developing advanced climate models, analyzing vast datasets, and contributing to groundbreaking research. Your primary focus will be on understanding and predicting environmental changes through sophisticated data analysis and machine learning techniques. This role demands a deep understanding of statistical modeling, predictive analytics, and scientific programming. You will collaborate with a global team of researchers, sharing insights and driving innovation. The ideal candidate possesses a strong academic background in a quantitative field, coupled with proven experience in applying data science methodologies to complex scientific problems.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and validate complex climate and environmental models using Python, R, and other relevant statistical and machine learning tools.
- Perform rigorous data cleaning, feature engineering, and exploratory data analysis on large, diverse datasets from various environmental sensors and historical records.
- Implement and optimize machine learning algorithms for tasks such as forecasting, anomaly detection, and pattern recognition in climate data.
- Collaborate with domain experts to translate scientific questions into data-driven research hypotheses and experimental designs.
- Interpret model outputs, generate visualizations, and communicate complex findings clearly to both technical and non-technical stakeholders through detailed reports and presentations.
- Stay abreast of the latest advancements in data science, machine learning, and climate science research, and apply them to improve existing methodologies.
- Contribute to the development of open-source scientific software and tools.
- Maintain high standards of code quality, documentation, and reproducibility in all research activities.
- Participate in peer reviews and contribute to scientific publications.
- Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Environmental Science, Physics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in data science, with a significant portion focused on scientific research or environmental modeling.
- Proficiency in Python and/or R, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Experience with large-scale data processing and cloud computing platforms (e.g., AWS, Azure, GCP).
- Strong understanding of statistical principles, hypothesis testing, and experimental design.
- Proven ability to develop and deploy machine learning models in a research context.
- Excellent problem-solving skills and a critical, analytical mindset.
- Exceptional communication and collaboration skills, with the ability to work effectively in a remote, international team environment.
- A passion for environmental research and a commitment to making a positive impact through data science.
This advertiser has chosen not to accept applicants from your region.
0
Remote Junior Data Scientist - Predictive Modeling
00100 Abothuguchi West
KES60000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a rapidly growing tech startup focused on AI-driven solutions, is looking for an enthusiastic and bright Remote Junior Data Scientist to join their innovative team. This internship, nominally based in Nairobi, Nairobi, KE , is a fully remote position designed for aspiring data scientists eager to gain hands-on experience in predictive modeling and machine learning. You will work alongside senior data scientists, contributing to real-world projects and learning cutting-edge techniques.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Support the development and implementation of machine learning models for predictive analysis, classification, and clustering.
- Conduct exploratory data analysis to identify patterns, trends, and insights.
- Create data visualizations to communicate findings and model performance.
- Collaborate with senior data scientists on feature engineering and model selection.
- Participate in code reviews and contribute to the development of robust data science pipelines.
- Help in the evaluation and validation of model performance using appropriate metrics.
- Research and stay updated on the latest advancements in data science, machine learning, and AI.
- Document methodologies, code, and results clearly and comprehensively.
- Assist in preparing presentations and reports on project findings for internal teams.
- Learn and apply new tools and technologies within the data science ecosystem.
- Contribute to team discussions and brainstorming sessions for new project ideas.
- Ensure the ethical and responsible use of data throughout all projects.
- Gain practical experience in building end-to-end data science solutions under mentorship.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Familiarity with programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Basic understanding of data manipulation and database querying (e.g., SQL).
- Eagerness to learn and develop skills in data analysis, modeling, and visualization.
- Strong analytical and problem-solving abilities.
- Good communication skills, with the ability to articulate technical concepts.
- Ability to work independently, manage time effectively, and collaborate remotely.
- Proactive attitude and a genuine passion for data science and technology.
- Prior exposure to data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
This advertiser has chosen not to accept applicants from your region.
1
Graduate Remote Data Scientist - Predictive Modeling
01000 Witeithie
KES50000 month
WhatJobs
Posted 5 days ago
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Job Description
Our client is excited to offer a fully remote Graduate Data Scientist internship focused on Predictive Modeling. This is an exceptional opportunity for a recent graduate or soon-to-be graduate with a strong quantitative background and a passion for data science to gain hands-on experience in a dynamic, remote work environment. You will work closely with our experienced data science team, contributing to the development and refinement of predictive models that drive business insights and decision-making. Although the position is fully remote, your initial exposure might involve understanding data patterns relevant to regions like **Thika, Kiambu, KE**, and other areas where our client operates.
Your responsibilities will include data cleaning, feature engineering, building and validating statistical and machine learning models, and interpreting model results. You will collaborate on projects involving forecasting, customer segmentation, risk assessment, and other areas where predictive analytics can provide significant value. This internship requires a solid understanding of programming languages such as Python or R, and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). You will also gain exposure to data visualization tools to effectively communicate findings. The ideal candidate is a quick learner, detail-oriented, and possesses strong problem-solving skills. This remote role emphasizes self-motivation and the ability to manage your own workload effectively. You will have the opportunity to present your work to the team and contribute to real-world data science challenges. This internship is designed to provide a comprehensive learning experience, equipping you with valuable skills and practical knowledge in the field of data science and predictive analytics. We encourage candidates who are eager to apply their academic knowledge in a professional setting and contribute to innovative projects.
Qualifications:
Your responsibilities will include data cleaning, feature engineering, building and validating statistical and machine learning models, and interpreting model results. You will collaborate on projects involving forecasting, customer segmentation, risk assessment, and other areas where predictive analytics can provide significant value. This internship requires a solid understanding of programming languages such as Python or R, and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). You will also gain exposure to data visualization tools to effectively communicate findings. The ideal candidate is a quick learner, detail-oriented, and possesses strong problem-solving skills. This remote role emphasizes self-motivation and the ability to manage your own workload effectively. You will have the opportunity to present your work to the team and contribute to real-world data science challenges. This internship is designed to provide a comprehensive learning experience, equipping you with valuable skills and practical knowledge in the field of data science and predictive analytics. We encourage candidates who are eager to apply their academic knowledge in a professional setting and contribute to innovative projects.
Qualifications:
- Recent graduate or current student pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Strong programming skills in Python or R.
- Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, Matplotlib).
- Knowledge of statistical modeling and machine learning techniques.
- Basic understanding of databases and SQL.
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills, essential for remote teamwork.
- Self-motivated with the ability to work independently and manage time effectively.
- A keen interest in learning and applying new data science methodologies.
This advertiser has chosen not to accept applicants from your region.
2
Principal Data Scientist - Remote Mineral Resource Modeling
40100 Kisumu
KES220000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly accomplished Principal Data Scientist to spearhead advanced mineral resource modeling and analysis in a fully remote capacity. This senior role is crucial for driving innovation and improving the accuracy and efficiency of our geological and mining operations through sophisticated data-driven approaches. The ideal candidate will possess a strong background in data science, statistics, machine learning, and their application to geological and mining challenges. You will be responsible for developing, implementing, and validating cutting-edge predictive models for mineral deposit estimation, resource classification, and grade control. Key responsibilities include working with large, complex datasets from exploration, drilling, and mine production; designing and executing data mining strategies; and translating findings into actionable insights for geological and mining teams. Expertise in programming languages such as Python or R, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn), is essential. Familiarity with geological software and databases (e.g., Vulcan, Leapfrog, SQL) is highly desirable. This position requires exceptional analytical and problem-solving skills, along with the ability to communicate complex technical concepts to both technical and non-technical stakeholders. You will lead research initiatives, mentor junior data scientists, and stay abreast of the latest advancements in data science and their application to the mining industry. The ability to design and conduct rigorous statistical analyses and interpret results with a critical eye is paramount. This is a fully remote role, demanding a high degree of self-motivation, autonomy, and excellent collaboration skills within a virtual environment. If you are passionate about leveraging data science to unlock the potential of mineral resources and drive strategic decision-making in the mining sector, we invite you to apply. This role supports our data science initiatives relevant to mining operations near Garissa, Garissa, KE .
This advertiser has chosen not to accept applicants from your region.
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