What Jobs are available for Data Interpretation in Kenya?
Showing 2313 Data Interpretation jobs in Kenya
Senior Geologist - Remote Data Interpretation
Posted 1 day ago
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Job Description
Responsibilities:
- Interpret and analyze diverse geological data sets (geophysical, well logs, seismic).
- Develop geological models and resource estimations.
- Identify and evaluate potential mineral or hydrocarbon deposits.
- Provide geological guidance for exploration and drilling programs.
- Prepare comprehensive geological reports and presentations.
- Assess geological risks and uncertainties.
- Collaborate with exploration and engineering teams.
- Utilize advanced geological modeling and interpretation software.
- Stay abreast of geological research and industry best practices.
- Contribute to strategic exploration planning.
Qualifications:
- Master's degree or PhD in Geology, Geophysics, or a related field.
- Minimum of 8 years of experience in geological interpretation and exploration.
- Proven expertise in analyzing geophysical, seismic, and well log data.
- Proficiency with geological modeling software (e.g., Petrel, Leapfrog, ArcGIS).
- Strong understanding of structural geology, stratigraphy, and sedimentology.
- Excellent analytical and problem-solving skills.
- Effective written and verbal communication abilities.
- Experience working independently in a remote environment.
- Familiarity with resource estimation techniques.
- Ability to manage multiple projects and meet deadlines.
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Graduate Data Analyst - AI & Machine Learning
Posted 1 day ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets.
- Perform exploratory data analysis (EDA) to identify patterns and trends.
- Develop and train machine learning models under guidance.
- Evaluate model performance and provide insights for improvement.
- Assist in feature engineering and selection for predictive models.
- Collaborate with senior data scientists on various AI/ML projects.
- Document methodologies, findings, and results of analyses.
- Learn and apply new data science and machine learning techniques.
- Participate in team meetings and contribute to discussions.
- Support in the visualization of data and model outcomes.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (recent graduates welcome).
- Solid understanding of statistical concepts and their application.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with machine learning concepts and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for AI and machine learning.
- A proactive and curious mindset.
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Remote Graduate Data Analyst - AI & Machine Learning Focus
Posted 1 day ago
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Job Description
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and implement basic machine learning models under the guidance of senior team members.
- Visualize data and model results using tools such as Python libraries (Matplotlib, Seaborn) or Tableau.
- Collaborate with data scientists and engineers on feature engineering and model selection.
- Document methodologies, findings, and code for reproducibility and knowledge sharing.
- Participate in regular team meetings and contribute to project discussions.
- Learn and apply new data analysis techniques and tools relevant to AI/ML.
- Assist in the testing and validation of AI/ML models.
- Contribute to the overall data strategy and innovation efforts.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis techniques.
- Basic programming skills in Python or R, including experience with relevant data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with machine learning concepts and algorithms is highly desirable.
- Exposure to data visualization tools.
- Strong analytical and problem-solving abilities.
- Excellent communication and teamwork skills, essential for remote collaboration.
- Proactive attitude and eagerness to learn and take on new challenges.
- Self-motivated and able to manage tasks effectively in a remote environment.
- A genuine interest in AI and Machine Learning.
This paid internship offers invaluable experience in a rapidly growing field, providing mentorship and real project involvement. The role is fully remote, supporting our strategic interests in the Meru, Meru, KE region.
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Remote AI Research Scientist - Machine Learning & Deep Learning
Posted 1 day ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence, machine learning, and deep learning.
- Develop and implement novel AI algorithms and models.
- Design and execute experiments to evaluate the performance of AI systems.
- Analyze large datasets and interpret experimental results.
- Stay abreast of the latest advancements in AI research and industry trends.
- Publish research findings in leading academic conferences and journals.
- Collaborate with a global team of researchers and engineers.
- Contribute to the development of AI-powered products and solutions.
- Develop and maintain high-quality research code.
- Mentor junior researchers and interns.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Proven track record of research excellence, demonstrated through publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) or journals.
- Strong theoretical foundation in machine learning, deep learning, statistics, and relevant mathematical concepts.
- Proficiency in programming languages such as Python.
- Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience in one or more specialized AI areas such as NLP, computer vision, reinforcement learning, etc.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for effective remote collaboration.
- Ability to conduct independent research and manage projects effectively.
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AI & Machine Learning Research Fellow
Posted 1 day ago
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Job Description
Key Responsibilities:
- Assist senior researchers in designing, implementing, and testing machine learning models for various applications.
- Conduct literature reviews on cutting-edge AI research topics and summarize findings.
- Develop and preprocess datasets for training and evaluating machine learning algorithms.
- Write clean, efficient, and well-documented code in Python, utilizing libraries such as TensorFlow, PyTorch, and scikit-learn.
- Participate in team meetings and brainstorming sessions to propose new research directions and solutions.
- Contribute to the development of research papers, presentations, and technical reports.
- Help in the deployment and testing of AI models in simulated or real-world environments.
- Collaborate with other interns and researchers on assigned projects.
- Maintain detailed records of experiments, results, and methodologies.
- Gain exposure to various domains of AI, including but not limited to, natural language processing, computer vision, and reinforcement learning.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a closely related quantitative field.
- Strong foundational knowledge of machine learning algorithms, data structures, and software development principles.
- Proficiency in Python programming and experience with relevant AI/ML libraries (TensorFlow, PyTorch, Keras, scikit-learn).
- Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy).
- Basic understanding of mathematical concepts such as linear algebra, calculus, and probability.
- Excellent analytical and problem-solving skills.
- Strong communication skills, with the ability to clearly articulate technical concepts.
- Must be self-motivated, detail-oriented, and capable of working independently in a remote setting.
- A genuine passion for artificial intelligence and a desire to learn and contribute to research.
- Previous research experience or personal AI projects are a plus.
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AI Research Scientist (Machine Learning)
Posted 1 day ago
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Job Description
Key Responsibilities:
- Conduct fundamental and applied research in machine learning and artificial intelligence.
- Develop novel algorithms and models for complex problem-solving.
- Implement and evaluate ML models using Python and relevant frameworks.
- Analyze large datasets to extract insights and drive model performance.
- Stay current with the latest research trends and publications in AI/ML.
- Collaborate with research teams to design and execute experiments.
- Publish research findings in leading academic venues.
- Contribute to the development of AI products and services.
- Mentor junior researchers and interns.
- Present research to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, AI, ML, or a related quantitative field.
- Proven track record of research in machine learning (publications in top venues are highly valued).
- Deep understanding of various ML algorithms and deep learning architectures.
- Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with large-scale data processing and analysis.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills for remote collaboration.
- Ability to conduct independent research and drive projects forward.
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Lead AI Research Scientist - Machine Learning
Posted 1 day ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in artificial intelligence and machine learning.
- Design, develop, and implement advanced AI algorithms and models.
- Lead research projects from conception through to publication and deployment.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Analyze large datasets to extract insights and identify areas for model improvement.
- Stay current with the latest research trends and advancements in AI/ML.
- Publish research findings in leading academic journals and conferences.
- Mentor and guide junior researchers and engineers.
- Present research results to technical and non-technical audiences.
- Contribute to the strategic direction of the AI research roadmap.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of experience in AI/ML research and development.
- Demonstrated expertise in deep learning, NLP, computer vision, or reinforcement learning.
- Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR) or journals.
- Proficiency in programming languages such as Python and frameworks like TensorFlow, PyTorch.
- Experience with large-scale data processing and distributed computing.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Strong communication and collaboration abilities, especially in a remote setting.
- Proven ability to lead research initiatives and mentor team members.
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