Explore numerous data science opportunities in 9 Data Science jobs in Nairobi
Junior Data Science Trainee
80300 Nairobi, Nairobi
KES30000 month
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Our client, a dynamic and innovative tech startup focused on leveraging data for business growth, is offering an exciting Junior Data Science Trainee position. This is a fully remote, immersive internship designed for aspiring data scientists eager to gain hands-on experience in a fast-paced environment. You will work closely with experienced data scientists, contributing to real-world projects involving data cleaning, exploratory data analysis, model building, and visualization. This internship provides a fantastic opportunity to develop a strong foundation in data science methodologies, tools, and best practices, all while working from your chosen location.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
- Support the development and implementation of machine learning models under supervision.
- Create data visualizations and reports to communicate findings effectively.
- Collaborate with team members on data-related projects and tasks.
- Learn and apply various data science techniques and tools.
- Participate in team meetings and contribute to discussions on data strategy and insights.
- Help in documenting data processes and methodologies.
- Gain exposure to different aspects of the data science lifecycle.
- Contribute to ad-hoc data analysis requests as needed.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundational knowledge of statistics and mathematics.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Basic understanding of data manipulation libraries (e.g., Pandas, NumPy).
- Enthusiasm for data science and machine learning.
- Excellent problem-solving skills and attention to detail.
- Good communication and collaboration skills, suitable for remote teamwork.
- Eagerness to learn and adapt to new technologies and methodologies.
- Prior experience with SQL is a plus.
- Must have a reliable internet connection and a suitable remote work environment.
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0
Senior Geologist (Remote Data Analysis)
80200 Nairobi, Nairobi
KES700000 Annually
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Posted 1 day ago
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Our client, a leading entity in the mining sector, is seeking an experienced Senior Geologist specializing in remote data analysis. This position is entirely remote, offering a unique opportunity to contribute your expertise from your home office. You will be responsible for analyzing geological data, interpreting subsurface conditions, and providing critical insights to support exploration, resource estimation, and mine planning activities. Your role will involve utilizing advanced software and methodologies to process and present geological information effectively.
Responsibilities:
Qualifications:
This is an exciting remote opportunity for a skilled geologist to make a significant contribution to mining operations and exploration efforts in the **Malindi, Kilifi, KE** region.
Responsibilities:
- Analyze geological data from various sources, including boreholes, geophysical surveys, and surface mapping.
- Interpret subsurface geological structures, lithology, and mineralization.
- Develop and maintain 3D geological models using specialized software (e.g., Leapfrog, Micromine, Vulcan).
- Estimate mineral resources and reserves, adhering to industry standards (e.g., JORC, NI 43-101).
- Collaborate with exploration and mine engineering teams to optimize drilling programs and sampling strategies.
- Prepare technical reports, geological assessments, and presentations for internal and external stakeholders.
- Evaluate the geological potential of prospective exploration areas.
- Monitor and interpret exploration data to identify targets for further investigation.
- Assist in the development of mine plans and production forecasts based on geological models.
- Ensure the quality and integrity of geological data through rigorous validation processes.
- Stay updated on the latest advancements in geological software, techniques, and industry best practices.
- Provide geological input for environmental impact assessments and permitting processes.
- Mentor junior geologists and contribute to team knowledge sharing.
- Conduct remote site visits or virtual site reviews when required.
- Contribute to the company's understanding of regional geology and mineral systems.
Qualifications:
- Bachelor's or Master's degree in Geology, Earth Sciences, or a related field.
- Minimum of 7 years of experience in exploration or mining geology.
- Proven expertise in geological data analysis, interpretation, and modeling.
- Proficiency with industry-standard geological modeling software (e.g., Leapfrog Geo, Vulcan, Micromine).
- Strong understanding of resource estimation methodologies and reporting codes.
- Experience with geophysical data interpretation and integration.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to convey complex geological concepts clearly.
- Ability to work independently and manage time effectively in a remote setting.
- Familiarity with GIS software (e.g., ArcGIS, QGIS) is a plus.
- Experience in project management or leading geological projects.
- Knowledge of mineral processing and extraction techniques is advantageous.
- A valid driver's license and willingness to travel occasionally for site reviews.
This is an exciting remote opportunity for a skilled geologist to make a significant contribution to mining operations and exploration efforts in the **Malindi, Kilifi, KE** region.
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1
Senior Bioinformatics Scientist, Genomics Data Analysis
80100 Nairobi, Nairobi
KES320000 Annually
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Our client is a cutting-edge life sciences research institution seeking a highly accomplished Senior Bioinformatics Scientist to lead complex genomics data analysis projects. This fully remote position offers an exciting opportunity to contribute to groundbreaking scientific discoveries using advanced computational tools and methodologies. You will be responsible for designing and implementing bioinformatics pipelines, analyzing large-scale genomic datasets (e.g., WGS, WES, RNA-Seq), and interpreting results to support research objectives. Key responsibilities include developing novel algorithms, establishing data quality control procedures, and visualizing complex biological data. The ideal candidate will possess a deep understanding of molecular biology, genetics, and statistical genomics, coupled with strong programming skills in languages such as Python, R, and Perl. Experience with high-performance computing environments and cloud platforms (AWS, GCP, Azure) is essential. You will collaborate closely with biologists, clinicians, and other researchers, providing expertise in data analysis and interpretation. This role demands exceptional analytical and problem-solving skills, with the ability to identify and address complex bioinformatics challenges. Strong communication and presentation skills are crucial for disseminating research findings to both scientific and non-scientific audiences. A proven track record in publishing peer-reviewed articles and contributing to grant proposals is highly desirable. You will also be involved in mentoring junior scientists and contributing to the development of bioinformatics infrastructure. This position offers a unique opportunity to make a significant impact on scientific advancement within a dynamic, remote-first research environment. Your passion for data-driven discovery and commitment to scientific rigor will be key to your success.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for genomics data analysis.
- Analyze large-scale genomic datasets, including whole genome, exome, and RNA sequencing data.
- Perform statistical analysis and interpretation of biological data.
- Develop and apply machine learning algorithms for biological insights.
- Ensure data quality control and integrity throughout the analysis process.
- Collaborate with experimental biologists and clinicians on research projects.
- Visualize complex biological data for effective communication of results.
- Contribute to the development of new analytical methods and tools.
- Mentor junior bioinformaticians and research staff.
- Prepare manuscripts for publication and present findings at scientific conferences.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 5 years of post-doctoral or industry experience in bioinformatics.
- Extensive experience with genomics data analysis (WGS, WES, RNA-Seq).
- Proficiency in programming languages such as Python, R, and Perl.
- Strong understanding of statistical methods and machine learning in biology.
- Experience with high-performance computing (HPC) and cloud environments.
- Knowledge of molecular biology and genetics principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills.
- Ability to work independently and lead research initiatives in a remote setting.
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2
Machine Learning Engineer
80200 Nairobi, Nairobi
KES400000 Annually
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Posted 1 day ago
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Job Description
Our client is seeking a skilled Machine Learning Engineer to join their innovative team, focusing on AI and emerging technologies. This role is designed for an individual passionate about developing and deploying cutting-edge machine learning models to solve complex real-world problems. You will be involved in the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. The position requires a strong foundation in algorithms, statistical modeling, and programming, with a deep understanding of ML frameworks and libraries. You will collaborate with data scientists, software engineers, and domain experts to translate business needs into actionable ML solutions. This role offers a unique opportunity to work on challenging projects that push the boundaries of AI, contributing to the development of intelligent systems. The hybrid work model allows for both focused remote work and in-person collaboration.
Responsibilities:
Qualifications:
This hybrid role, with a client presence in Malindi, Kilifi, KE , offers a competitive salary and the chance to work at the forefront of AI innovation.
Responsibilities:
- Design, build, and maintain scalable machine learning models and algorithms.
- Develop and implement data preprocessing pipelines and feature engineering techniques.
- Train, evaluate, and fine-tune ML models using various frameworks and tools.
- Deploy ML models into production environments and monitor their performance.
- Collaborate with data scientists and software engineers to integrate ML solutions into products and services.
- Conduct research on new ML techniques and technologies to identify potential applications.
- Analyze large datasets to extract insights and inform model development.
- Optimize model performance for accuracy, efficiency, and scalability.
- Develop and maintain documentation for ML models and processes.
- Stay current with advancements in the field of AI and machine learning.
- Troubleshoot and resolve issues related to ML model performance in production.
- Present findings and technical details to stakeholders.
Qualifications:
- Master's or PhD in Computer Science, Data Science, Statistics, or a related quantitative field.
- 3+ years of hands-on experience in machine learning engineering or data science with a focus on model development and deployment.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
- Experience with data manipulation and analysis tools (e.g., Pandas, Spark).
- Strong understanding of various ML algorithms, including supervised, unsupervised, and deep learning.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Familiarity with MLOps principles and tools.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with containerization technologies like Docker is a plus.
- Ability to work effectively in both remote and on-site settings as required.
This hybrid role, with a client presence in Malindi, Kilifi, KE , offers a competitive salary and the chance to work at the forefront of AI innovation.
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3
Graduate Data Scientist - Machine Learning
80200 Nairobi, Nairobi
KES80000 month
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Our client is excited to offer a remote Graduate Data Scientist internship focused on Machine Learning. This is an exceptional opportunity for enthusiastic and driven recent graduates to gain hands-on experience in a fast-paced, innovative environment. You will work alongside experienced data scientists, contributing to real-world projects that leverage machine learning to solve complex business challenges. As a fully remote intern, you will develop critical skills in data analysis, model building, and interpretation, all while collaborating effectively with a distributed team.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preparing large datasets for machine learning model training.
- Develop, train, and evaluate machine learning models under the guidance of senior data scientists.
- Implement algorithms for classification, regression, clustering, and other data mining tasks.
- Visualize data and model results to identify trends and insights.
- Contribute to the documentation of data analysis processes, models, and findings.
- Participate in team meetings and discussions, contributing ideas and insights.
- Learn and apply various machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Support in deploying and monitoring machine learning models in production environments.
- Research and stay updated on the latest advancements in data science and machine learning.
- Collaborate effectively with remote team members through various communication platforms.
- Assist in the interpretation of model performance and provide actionable recommendations.
- Gain practical experience in an end-to-end data science project lifecycle.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Basic knowledge of machine learning frameworks is a plus.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to explain technical concepts clearly.
- Ability to work independently, manage time effectively, and collaborate remotely.
- Eagerness to learn and adapt to new technologies and methodologies.
- Previous exposure to data science projects or coursework is beneficial.
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4
AI Research Scientist - Machine Learning
80203 Nairobi, Nairobi
KES150000 Annually
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Posted 5 days ago
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Job Description
Our client is seeking a highly innovative and skilled AI Research Scientist specializing in Machine Learning to join their cutting-edge research team. This is a fully remote position, offering an exceptional opportunity to contribute to groundbreaking advancements in artificial intelligence from anywhere. You will be responsible for researching, developing, and implementing advanced machine learning models and algorithms to solve complex problems across various domains. Your work will involve exploring new AI techniques, designing experiments, analyzing results, and translating research findings into practical applications. Key responsibilities include staying abreast of the latest developments in AI and ML, collaborating with cross-functional teams to define research objectives, developing and validating predictive models, and contributing to the publication of research findings. You will also work with large datasets, employing techniques such as deep learning, natural language processing, and computer vision. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with a strong publication record. Proven experience in developing and deploying machine learning models in real-world scenarios is essential. Proficiency in programming languages like Python, and deep learning frameworks such as TensorFlow or PyTorch, is required. Strong analytical, mathematical, and problem-solving skills, along with excellent communication and collaboration abilities, are critical. If you are a passionate AI researcher driven by intellectual curiosity and a desire to push the boundaries of what's possible with AI, this remote role is an ideal fit. Join us in shaping the future of artificial intelligence.
Responsibilities:
Responsibilities:
- Conduct research and development in machine learning and AI.
- Develop and implement advanced ML algorithms and models.
- Analyze large datasets and identify patterns and insights.
- Collaborate with engineers to deploy AI solutions.
- Stay current with AI research trends and methodologies.
- Publish research findings and contribute to intellectual property.
- Ph.D. or Master's degree in Computer Science, AI, ML, or related field.
- Proven experience in machine learning research and development.
- Expertise in deep learning, NLP, or computer vision.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
- Strong mathematical and statistical background.
- Excellent research, analytical, and communication skills.
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5
Lead AI Research Scientist - Machine Learning
80200 Nairobi, Nairobi
KES300000 month
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Job Description
Our client is at the forefront of AI innovation and is seeking a brilliant Lead AI Research Scientist to spearhead groundbreaking research in machine learning. This is a fully remote position, offering the opportunity to work with a world-class team of researchers and engineers from anywhere. You will be instrumental in defining the research agenda, conceptualizing and developing novel AI algorithms, and pushing the boundaries of what's possible in areas such as deep learning, natural language processing, and computer vision.
Your responsibilities will include designing and conducting experiments, analyzing results, and publishing findings in top-tier scientific venues. You will mentor junior researchers, collaborate with product teams to translate research into tangible applications, and stay abreast of the latest advancements in the AI field. This role requires a deep theoretical understanding of AI/ML principles, coupled with strong practical implementation skills. The ideal candidate is a visionary leader passionate about solving complex problems and driving technological progress.
Key Responsibilities:
Your responsibilities will include designing and conducting experiments, analyzing results, and publishing findings in top-tier scientific venues. You will mentor junior researchers, collaborate with product teams to translate research into tangible applications, and stay abreast of the latest advancements in the AI field. This role requires a deep theoretical understanding of AI/ML principles, coupled with strong practical implementation skills. The ideal candidate is a visionary leader passionate about solving complex problems and driving technological progress.
Key Responsibilities:
- Lead and contribute to cutting-edge research in artificial intelligence and machine learning.
- Develop and implement novel AI algorithms and models, particularly in deep learning, NLP, and computer vision.
- Design and execute rigorous experiments to evaluate the performance and effectiveness of AI systems.
- Analyze complex datasets and interpret research findings.
- Publish research results in leading academic conferences and journals.
- Mentor and guide junior research scientists and engineers.
- Collaborate with cross-functional teams to translate research breakthroughs into practical product features.
- Stay current with the latest trends, research papers, and advancements in AI/ML.
- Contribute to the intellectual property portfolio of the company through patents and publications.
- Present research findings to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in AI research and development, with a strong publication record.
- Expertise in one or more of the following areas: deep learning, natural language processing, computer vision, reinforcement learning.
- Proficiency in programming languages such as Python, and ML frameworks like TensorFlow, PyTorch, Keras.
- Strong understanding of statistical modeling, algorithms, and data structures.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and mentor team members.
- Exceptional communication and collaboration skills, especially in a remote setting.
- Experience with large-scale data processing and distributed computing is a plus.
- Demonstrated ability to work independently and drive projects to completion.
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6
Remote Principal AI Engineer - Machine Learning
80200 Nairobi, Nairobi
KES450000 Annually
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Posted 1 day ago
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Our client is seeking a visionary and highly experienced Remote Principal AI Engineer specializing in Machine Learning to drive cutting-edge advancements in artificial intelligence. This is a fully remote position, offering the chance to work on groundbreaking AI solutions from anywhere in the world. You will be at the forefront of designing, developing, and deploying sophisticated machine learning models and algorithms that solve complex business problems. Your responsibilities will include researching state-of-the-art AI techniques, identifying opportunities for AI integration, and leading the end-to-end development lifecycle of ML projects, from data acquisition and preprocessing to model training, evaluation, and deployment. You will work with large-scale datasets and leverage advanced statistical modeling, deep learning, and natural language processing techniques. This role requires a strong command of ML frameworks such as TensorFlow, PyTorch, or scikit-learn, and proficiency in programming languages like Python. You will collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into existing and new products. Experience with MLOps, cloud platforms (AWS, Azure, GCP), and distributed computing is essential. This position demands exceptional analytical, problem-solving, and critical thinking skills, as well as the ability to communicate complex technical concepts to diverse audiences. You will mentor junior AI engineers and contribute to shaping the company's AI strategy. A PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is required, along with a minimum of 10 years of relevant industry experience, including significant experience in a principal or lead AI engineering role. A strong publication record in top AI conferences or journals is a significant plus.
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7
Senior AI Research Scientist - Machine Learning
80200 Nairobi, Nairobi
KES280000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a groundbreaking organization at the forefront of AI and Emerging Technologies, is seeking an exceptional Senior AI Research Scientist to join their elite, fully remote research team. This role is designed for an individual with a profound passion for pushing the boundaries of machine learning and artificial intelligence. You will be responsible for conceptualizing, developing, and implementing novel AI algorithms and models that solve complex real-world problems. Your work will involve significant research, experimentation, and contribution to academic publications and patents.
As a Senior AI Research Scientist, you will delve into areas such as deep learning, natural language processing, computer vision, reinforcement learning, and generative AI. You will collaborate with a team of world-class researchers and engineers, turning theoretical concepts into practical, deployable AI solutions. The role requires a strong theoretical foundation in mathematics, statistics, and computer science, coupled with hands-on experience in developing and deploying AI models. You will be expected to stay abreast of the latest research advancements and contribute innovative ideas to the team's roadmap.
Key Responsibilities:
As a Senior AI Research Scientist, you will delve into areas such as deep learning, natural language processing, computer vision, reinforcement learning, and generative AI. You will collaborate with a team of world-class researchers and engineers, turning theoretical concepts into practical, deployable AI solutions. The role requires a strong theoretical foundation in mathematics, statistics, and computer science, coupled with hands-on experience in developing and deploying AI models. You will be expected to stay abreast of the latest research advancements and contribute innovative ideas to the team's roadmap.
Key Responsibilities:
- Conduct cutting-edge research in AI and machine learning to develop innovative algorithms and models.
- Design, implement, and evaluate complex ML models for various applications.
- Explore and apply advanced techniques in deep learning, NLP, computer vision, etc.
- Collaborate with engineers to integrate research prototypes into production systems.
- Publish research findings in top-tier conferences and journals.
- Stay current with the latest advancements in AI and machine learning literature.
- Mentor junior researchers and contribute to the team's scientific direction.
- Develop and maintain robust experimental frameworks and codebases.
- Contribute to the intellectual property portfolio through patents and proprietary research.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of post-graduate research experience in AI/ML.
- Demonstrated expertise in one or more areas of AI/ML (e.g., Deep Learning, NLP, CV, Reinforcement Learning).
- Proficiency in programming languages like Python, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong mathematical and statistical foundation.
- Proven track record of research contributions (publications, patents).
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and collaboration skills for a remote research environment.
- Ability to work independently and drive research initiatives forward.
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