2,451 Data Science Positions jobs in Kenya
Graduate Data Analyst - AI & Machine Learning
Posted 2 days ago
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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.
Junior Data Analyst - Market Research
Posted 20 days ago
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Job Description
Key Responsibilities:
- Assist in the collection, cleaning, and organization of large datasets from various sources.
- Perform data analysis using statistical software and tools to identify trends, patterns, and insights.
- Create clear and compelling data visualizations, charts, and graphs to communicate findings.
- Support senior analysts in the preparation of research reports and presentations.
- Conduct preliminary analysis of survey data, sales figures, and other market-related information.
- Ensure data accuracy and integrity throughout the analysis process.
- Collaborate with team members in a remote setting, participating in virtual meetings and discussions.
- Learn and apply new analytical techniques and software tools.
- Assist in ad-hoc data requests and analytical tasks as needed.
- Contribute to the development of research methodologies and reporting standards.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Business Analytics, Computer Science, or a related quantitative field.
- Basic understanding of statistical concepts and data analysis techniques.
- Proficiency in spreadsheet software (e.g., Microsoft Excel, Google Sheets), including formulas and pivot tables.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Basic programming skills (e.g., SQL, Python, R) are highly desirable.
- Strong attention to detail and accuracy in data handling.
- Excellent problem-solving abilities and a curious mindset.
- Good written and verbal communication skills, capable of explaining findings clearly.
- Ability to work independently and manage time effectively in a remote work environment.
- Eagerness to learn and adapt to new technologies and methodologies.
Junior Data Analyst - Market Research & Insights
Posted 15 days ago
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Job Description
Responsibilities:
- Assist in collecting and organizing data from various internal and external sources, including surveys, databases, and public records.
- Perform data cleaning and preprocessing tasks to ensure data accuracy and integrity.
- Conduct preliminary data analysis using statistical methods and software tools.
- Help generate reports and visualizations to present data findings to the team.
- Support senior analysts in developing market research methodologies and survey instruments.
- Identify trends, patterns, and anomalies within datasets and flag them for further investigation.
- Learn and apply new analytical techniques and tools as required.
- Contribute to the documentation of data sources, methodologies, and findings.
- Collaborate with team members remotely to discuss project progress and findings.
- Assist in preparing presentations summarizing research insights.
- Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis principles.
- Familiarity with data analysis tools such as Excel, and basic knowledge of SQL, Python, or R is a plus.
- Strong analytical and problem-solving skills with a high level of attention to detail.
- Excellent written and verbal communication skills, with the ability to clearly articulate findings.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine interest in market research and data-driven decision-making.
- Proactive and able to take initiative on assigned tasks.
Principal AI Research Scientist - Machine Learning & Computer Vision
Posted 23 days ago
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Junior Data Analyst & Research Assistant (Remote)
Posted 4 days ago
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Job Description
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Perform descriptive statistical analysis and generate basic reports.
- Create data visualizations to illustrate findings and trends.
- Conduct literature searches and summarize research findings.
- Support senior team members in data-driven projects.
- Maintain organized and accurate data records.
- Collaborate effectively with remote team members.
- Contribute to the development of research methodologies.
- Learn and apply new data analysis techniques and tools.
- Currently pursuing or recently completed a degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
- Strong analytical and quantitative skills.
- Proficiency in Microsoft Excel for data analysis.
- Familiarity with statistical software (e.g., R, Python) is a plus.
- Excellent attention to detail and accuracy.
- Strong written and verbal communication skills for remote interaction.
- Ability to work independently and manage workload in a remote setting.
- Eagerness to learn and develop data analysis skills.
- Passion for research and problem-solving.
Remote Graduate Data Analyst - AI & Machine Learning Focus
Posted 7 days 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.
AI Research Scientist - Machine Learning
Posted 21 days ago
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Senior AI Research Scientist - Machine Learning & Deep Learning
Posted 21 days ago
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Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence, machine learning, and deep learning.
- Design, develop, and implement novel AI algorithms and models.
- Stay current with the latest advancements and publications in AI research.
- Collaborate with engineers to deploy AI models into production systems.
- Analyze large datasets to extract insights and inform model development.
- Conduct rigorous experimentation and validation of AI solutions.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and contribute to team knowledge sharing.
- Contribute to patent applications and intellectual property development.
- Present research findings to technical and non-technical stakeholders.
- Identify and explore new research opportunities and potential applications of AI.
- Drive innovation and contribute to the strategic direction of AI research.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of research experience in AI, ML, or DL, with a strong publication record.
- Deep understanding of machine learning theory, deep learning architectures, and statistical modeling.
- Proficiency in Python, R, and AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with large-scale data processing and distributed computing frameworks.
- Proven ability to design and conduct complex experiments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a remote team environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Remote Junior Data Analyst - Market Research
Posted 15 days ago
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Job Description
Responsibilities:
- Assist in the collection and aggregation of market research data from various sources.
- Perform data cleaning, transformation, and validation to ensure accuracy and integrity.
- Conduct preliminary statistical analysis to identify trends and patterns.
- Support the creation of charts, graphs, and dashboards for data visualization.
- Help prepare reports and presentations summarizing research findings.
- Collaborate with senior analysts on data-related tasks for client projects.
- Assist in developing survey questionnaires and data collection instruments.
- Learn and apply data analysis techniques and tools.
- Contribute to team discussions and project planning.
- Maintain organized records of data and analysis processes.
- Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
- Strong foundational knowledge of statistical concepts and data analysis principles.
- Proficiency in Microsoft Excel, including advanced functions (pivot tables, VLOOKUP).
- Basic understanding of data visualization principles.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and commitment to data accuracy.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new tools and methodologies.
- Prior internship experience or relevant academic projects are a plus.
Principal AI Research Scientist, Machine Learning
Posted 21 days ago
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Job Description
Responsibilities:
- Lead the design and execution of advanced AI research projects, focusing on machine learning.
- Develop novel algorithms and methodologies in areas such as deep learning, reinforcement learning, NLP, or computer vision.
- Conduct theoretical analysis and empirical validation of AI models.
- Publish research findings in leading AI conferences and journals.
- Collaborate with engineering teams to translate research prototypes into production systems.
- Mentor and guide junior researchers and engineers.
- Identify and explore new research opportunities and emerging AI trends.
- Contribute to the strategic direction of the AI research division.
- Present research findings to internal stakeholders and the broader scientific community.
- Ensure the responsible and ethical development of AI technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- Minimum of 10 years of post-doctoral or industry research experience in AI/ML.
- Exceptional publication record in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Deep expertise in one or more subfields of machine learning (e.g., deep learning architectures, probabilistic models, optimization).
- Proficiency in programming languages such as Python, and ML frameworks like TensorFlow or PyTorch.
- Strong theoretical foundation and practical implementation skills.
- Excellent problem-solving, analytical, and critical thinking abilities.
- Outstanding communication and presentation skills.
- Proven ability to lead research initiatives and mentor teams.
- Experience working in a remote research environment is advantageous.