2,810 Remote Lead Data Scientist Machine Learning jobs in Kenya
Remote Lead Data Scientist - AI Research
Posted 10 days ago
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Job Description
Our client is seeking an innovative and experienced Lead Data Scientist to spearhead cutting-edge research and development in Artificial Intelligence. This is a fully remote position, allowing you to contribute to groundbreaking projects from anywhere. You will lead a team of talented data scientists and researchers, guiding the development of novel AI algorithms and machine learning models. Your expertise will be crucial in areas such as natural language processing, computer vision, and predictive analytics. You will be responsible for defining research roadmaps, designing experiments, and translating complex findings into actionable insights and product enhancements. This role requires a deep understanding of statistical modeling, machine learning techniques, and big data technologies. You will collaborate closely with cross-functional teams, including software engineers and product managers, to integrate AI solutions into our client's offerings. A strong publication record in leading AI conferences or journals is highly valued. The ideal candidate is a visionary leader with exceptional analytical skills, a passion for innovation, and the ability to inspire and mentor a team in a remote setting. You will be at the forefront of AI innovation, driving significant advancements and shaping the future of the field. This is a unique opportunity to work on challenging problems with real-world impact. The role is associated with Malindi, Kilifi, KE but is performed entirely remotely.
Key Responsibilities:
Key Responsibilities:
- Lead and mentor a team of data scientists and AI researchers.
- Develop and implement advanced AI and machine learning models.
- Design and execute research projects to explore new AI frontiers.
- Collaborate with product and engineering teams to integrate AI solutions.
- Analyze large datasets to identify patterns and extract valuable insights.
- Publish research findings in top-tier conferences and journals.
- Stay abreast of the latest developments in AI, machine learning, and data science.
- Present complex technical concepts to diverse audiences.
- Contribute to the strategic direction of AI research and development.
- Ensure the scalability and efficiency of AI models and pipelines.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science and machine learning, with a focus on AI research.
- Proven leadership experience in managing research teams.
- Expertise in programming languages such as Python or R, and ML libraries (e.g., TensorFlow, PyTorch).
- Strong understanding of statistical modeling, algorithms, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop).
- Excellent problem-solving and critical thinking skills.
- Strong communication and presentation abilities.
- Demonstrated ability to work independently and lead remote teams effectively.
- A strong publication record in relevant AI/ML venues.
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Remote Lead Data Scientist - AI/ML
Posted 20 days ago
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Job Description
Our client, a cutting-edge organization in Scientific Research & Development, is seeking an innovative and experienced Remote Lead Data Scientist to spearhead their Artificial Intelligence and Machine Learning initiatives. This fully remote, high-impact role will involve leading a team of data scientists, defining research directions, and developing sophisticated AI/ML models to solve complex scientific problems. You will be responsible for the end-to-end lifecycle of data science projects, from problem formulation and data acquisition to model development, deployment, and monitoring. Key responsibilities include designing and implementing advanced machine learning algorithms, conducting rigorous statistical analysis, and performing predictive modeling. You will mentor junior data scientists, review their work, and foster a collaborative and high-performing team environment. This role requires a deep understanding of various ML techniques, including deep learning, natural language processing, and computer vision, as applied to scientific data. Experience with large-scale data processing and distributed computing frameworks is essential. You will also play a crucial role in communicating complex technical findings to non-technical stakeholders, including senior management and research partners. The ideal candidate will possess a strong academic background in a quantitative field (e.g., Computer Science, Statistics, Physics, Mathematics) with a Ph.D. or Master's degree, combined with significant industry experience. Exceptional programming skills in Python or R, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and big data technologies (e.g., Spark, Hadoop) are mandatory. Excellent leadership, communication, and problem-solving skills are required to guide the team and influence strategic decisions. This is a unique opportunity to drive groundbreaking research and development in a flexible remote setting.
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Remote Lead Data Scientist - AI & Machine Learning
Posted 7 days ago
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Job Description
Our client is seeking a highly accomplished Lead Data Scientist to spearhead advanced analytics and AI/ML initiatives. This position offers a hybrid work model, combining the flexibility of remote work with essential in-person collaboration, supporting projects based in Bungoma, Bungoma, KE and other key research centers. The ideal candidate will possess a strong theoretical foundation in statistics, machine learning, and data mining, coupled with extensive practical experience in developing and deploying complex predictive models. You will be responsible for leading a team of data scientists, guiding them through the entire data science lifecycle – from data acquisition and preprocessing to model development, validation, and implementation into production systems. This includes identifying business challenges that can be addressed through data-driven solutions, designing experiments, and selecting appropriate algorithms and methodologies. Expertise in programming languages such as Python or R, and experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) are critical. You will also be expected to mentor junior team members, review their code and methodologies, and foster a culture of innovation and continuous learning. Strong communication skills are essential for presenting complex findings to both technical and non-technical audiences, influencing strategic decisions, and collaborating effectively with stakeholders across various departments. A Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field is required, along with a minimum of 8 years of relevant experience. Proven experience in leading data science projects and managing teams is a must. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and MLOps practices is highly desirable. This is a unique opportunity to drive cutting-edge research and development, shape the future of AI within the organization, and contribute to significant advancements in scientific discovery, while benefiting from a flexible hybrid work arrangement.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead the development and deployment of advanced AI and machine learning models.
- Oversee data science projects from conception to production implementation.
- Mentor and manage a team of data scientists, providing technical guidance and leadership.
- Identify opportunities for leveraging data analytics to solve complex business problems.
- Design and conduct experiments to validate hypotheses and model performance.
- Ensure the quality, integrity, and security of data used for analysis.
- Collaborate with engineering and product teams to integrate ML models into applications.
- Communicate complex analytical results and insights to diverse stakeholders.
- Stay abreast of the latest research and advancements in AI/ML and data science.
- Contribute to the strategic direction of the data science function.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 8 years of experience in data science, with a focus on AI/ML.
- Proven experience leading data science teams and projects.
- Expertise in programming languages like Python or R, and relevant libraries (e.g., scikit-learn, pandas).
- Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of statistical modeling, machine learning algorithms, and deep learning.
- Excellent problem-solving, analytical, and critical thinking skills.
- Superior communication and presentation abilities.
- Experience with MLOps and model deployment is a plus.
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Remote Lead Research Scientist - AI/ML
Posted 16 days ago
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Job Description
Our client, a cutting-edge technology firm focused on advancing artificial intelligence, is seeking a highly accomplished Lead Research Scientist specializing in AI/ML. This role is at the forefront of innovation, driving the development of novel algorithms and machine learning models that will define the future of our products and services. You will lead a team of brilliant researchers and engineers, guiding research initiatives from conceptualization through to experimental validation and potential implementation.
Responsibilities:
This is a hybrid role, requiring a balance of remote work flexibility and in-person collaboration for critical team meetings and brainstorming sessions at our facilities. While the conceptual location is Ongata Rongai, Kajiado, KE , you will have the ability to work remotely for a significant portion of your time.
Qualifications:
Responsibilities:
- Lead and direct research projects in areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Design and implement novel AI/ML algorithms and models to solve complex problems.
- Conduct rigorous experimental validation and performance analysis of research prototypes.
- Collaborate with product development teams to translate research findings into practical applications and features.
- Stay abreast of the latest academic research and industry advancements in AI/ML.
- Publish research findings in top-tier conferences and journals where appropriate.
- Mentor and guide junior researchers and engineers, fostering a culture of scientific inquiry and innovation.
- Develop and manage research roadmaps, ensuring alignment with company strategic goals.
- Secure and manage research grants or funding where applicable.
- Present research progress and outcomes to technical and executive leadership.
This is a hybrid role, requiring a balance of remote work flexibility and in-person collaboration for critical team meetings and brainstorming sessions at our facilities. While the conceptual location is Ongata Rongai, Kajiado, KE , you will have the ability to work remotely for a significant portion of your time.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
- A minimum of 7 years of experience in AI/ML research, with a proven track record of significant contributions (publications, patents, successful product integrations).
- Deep expertise in one or more AI/ML subfields (e.g., deep learning, NLP, computer vision).
- Proficiency in programming languages commonly used in AI/ML research (e.g., Python, TensorFlow, PyTorch, scikit-learn).
- Strong theoretical and practical understanding of machine learning algorithms and statistical modeling.
- Experience leading research teams and managing research projects.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts effectively.
- Ability to work effectively in both independent and collaborative settings.
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Lead Data Scientist - Remote Analytics & AI
Posted 21 days ago
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Job Description
Our client, a rapidly expanding tech company at the forefront of data-driven innovation, is seeking an accomplished Lead Data Scientist to spearhead their advanced analytics and artificial intelligence initiatives. This is a unique opportunity for an experienced professional to lead a fully remote team of data scientists, drive impactful insights, and shape the strategic direction of AI and machine learning projects. As the Lead Data Scientist, you will be responsible for designing, developing, and deploying sophisticated machine learning models and analytical solutions that address complex business challenges. Your role will involve leading data exploration, feature engineering, model selection, training, validation, and implementation. You will guide the team in leveraging large datasets to uncover actionable insights, predict trends, and optimize business processes. Strong expertise in programming languages such as Python or R, along with extensive experience in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), is essential. Proficiency in SQL, big data technologies (e.g., Spark, Hadoop), and cloud platforms (AWS, Azure, GCP) is highly desirable. The ideal candidate will possess exceptional analytical, statistical, and problem-solving skills, with a proven track record of successfully delivering data science projects from conception to production. Excellent leadership and communication skills are paramount for mentoring team members, collaborating with cross-functional stakeholders, and articulating complex technical findings to non-technical audiences. You will thrive in a remote environment, demonstrating strong project management capabilities and the ability to manage distributed teams effectively. This role requires strategic thinking, a deep understanding of business objectives, and a passion for pushing the boundaries of data science and AI. We are looking for a visionary leader who can inspire innovation and drive significant business value through data. Experience in A/B testing and experimental design is a plus. The ability to translate abstract business problems into concrete data science solutions is key. This position is linked to the Garissa, Garissa, KE area, but the work is performed entirely remotely.
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Remote Lead Data Scientist - Machine Learning
Posted 21 days ago
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Job Description
Our client is seeking a highly experienced and visionary Lead Data Scientist to spearhead their advanced machine learning and AI initiatives. This is a fully remote position, offering the opportunity to drive innovation and shape the future of data-driven solutions. You will lead a team of talented data scientists, guiding them through the entire lifecycle of machine learning projects, from conceptualization and data exploration to model development, deployment, and performance monitoring. Responsibilities include defining research objectives, architecting complex ML models, developing robust algorithms, and translating analytical insights into actionable business strategies. The ideal candidate possesses a deep expertise in statistical modeling, machine learning algorithms, deep learning frameworks, and programming languages such as Python or R. A strong background in scientific research and development is essential, with a proven ability to tackle complex, ambiguous problems and deliver innovative solutions. This role requires exceptional leadership, communication, and stakeholder management skills to effectively collaborate with cross-functional teams and present findings to senior management. You will be responsible for setting the technical direction for the data science team and fostering a culture of continuous learning and experimentation. A PhD or Master's degree in a quantitative field is highly preferred. This is a critical remote leadership role for our operations near **Kericho, Kericho, KE**, demanding a forward-thinking individual ready to make a significant impact.
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Remote Lead Data Scientist - Machine Learning Applications
Posted 1 day ago
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Job Description
Our client, an innovative data analytics firm, is seeking a Lead Data Scientist to spearhead their machine learning initiatives. This is a fully remote position, offering significant flexibility. The ideal candidate will have a passion for uncovering insights from complex datasets and building sophisticated predictive models that drive business decisions. You will lead a team of data scientists, guide research and development efforts, and collaborate with product and engineering teams to deploy ML solutions into production. This role demands a strong theoretical foundation in machine learning, practical experience in applying ML techniques to real-world problems, and excellent leadership and communication skills for a remote setting.
Key Responsibilities:
Key Responsibilities:
- Leading the development and deployment of machine learning models for various business applications, such as customer segmentation, fraud detection, and predictive maintenance.
- Designing and implementing advanced statistical and machine learning algorithms.
- Collaborating with stakeholders to define project requirements and translate business problems into data science solutions.
- Mentoring and guiding junior data scientists, fostering a culture of innovation and continuous learning.
- Performing in-depth data analysis, feature engineering, and model evaluation.
- Staying abreast of the latest advancements in AI, machine learning, and data science.
- Communicating complex technical findings and insights to both technical and non-technical audiences.
- Ensuring the ethical and responsible use of data and AI models.
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6
Lead Data Scientist - Machine Learning (Remote)
Posted 19 days ago
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Job Description
Our client, an innovative data analytics firm, is seeking a highly experienced Lead Data Scientist with a specialization in Machine Learning to join their fully remote global team. This leadership role will drive the development and deployment of sophisticated machine learning models that extract actionable insights from complex datasets. You will guide a team of data scientists, mentor junior members, and collaborate closely with product and engineering teams to integrate data-driven solutions into our core offerings. The ideal candidate possesses a strong theoretical foundation in statistics and machine learning, coupled with a proven ability to translate business problems into data science initiatives. This position requires exceptional analytical skills, strategic thinking, and the ability to lead effectively in a remote setting. The impact of your work will be felt across our operations, with a focus on enhancing analytics relevant to regions like **Ongata Rongai, Kajiado, KE**, but the role itself is fully remote.
Responsibilities:
Qualifications:
This is a premier opportunity for a talented data scientist to lead impactful projects in a fully remote capacity. Your expertise will drive innovation, with a clear connection to the development needs of emerging markets and regions like **Ongata Rongai, Kajiado, KE**, though the position is entirely remote.
Responsibilities:
- Lead the end-to-end development and implementation of machine learning models for various business applications, including prediction, classification, and clustering.
- Design and conduct experiments to test hypotheses and validate model performance.
- Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with stakeholders to understand business needs and translate them into data science projects.
- Perform advanced statistical analysis and data mining on large, complex datasets.
- Develop and maintain data pipelines, ensuring data quality and integrity.
- Stay abreast of the latest research and advancements in machine learning and AI.
- Communicate complex findings and recommendations clearly and effectively to both technical and non-technical audiences through presentations and reports.
- Contribute to the strategic roadmap for data science initiatives within the company.
- Ensure the ethical and responsible use of data and AI models.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- 8+ years of experience in data science, with a significant focus on machine learning and predictive modeling.
- Proven experience in leading data science projects and mentoring teams.
- Deep understanding of various machine learning algorithms (e.g., regression, classification, deep learning, NLP) and their practical applications.
- Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Strong experience with SQL and working with large datasets.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark) is highly desirable.
- Exceptional analytical, problem-solving, and critical-thinking skills.
- Excellent communication, presentation, and interpersonal skills, essential for remote collaboration.
This is a premier opportunity for a talented data scientist to lead impactful projects in a fully remote capacity. Your expertise will drive innovation, with a clear connection to the development needs of emerging markets and regions like **Ongata Rongai, Kajiado, KE**, though the position is entirely remote.
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Lead Data Scientist - Remote Machine Learning
Posted 11 days ago
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Job Description
Our client, a pioneering organization in scientific research and development, is seeking an accomplished Lead Data Scientist to drive their machine learning initiatives. This is a fully remote position, offering the chance to work on groundbreaking projects from anywhere. You will be responsible for leading the design, development, and implementation of advanced machine learning models and algorithms to solve complex scientific problems. This includes exploring new datasets, identifying patterns, and building predictive models that can accelerate research and discovery. You will mentor a team of data scientists and engineers, providing technical guidance and fostering a collaborative environment. Key responsibilities involve defining research objectives, selecting appropriate methodologies, and translating research findings into actionable insights and innovative solutions. You will work closely with domain experts, researchers, and software engineers to integrate data-driven solutions into existing platforms and workflows. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, with a minimum of 8 years of experience in data science and machine learning, including significant leadership experience. Proven expertise in various machine learning techniques (e.g., deep learning, reinforcement learning, NLP) and a strong command of programming languages such as Python or R are essential. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Exceptional analytical, problem-solving, and critical-thinking skills are paramount. You must possess outstanding communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. The capacity to lead and inspire a remote team, manage multiple projects, and contribute to strategic research direction is crucial. This role offers an unparalleled opportunity to shape the future of scientific discovery through cutting-edge data science. Responsibilities:
- Lead the development and deployment of advanced machine learning models.
- Mentor and guide a team of data scientists and engineers.
- Define research questions and select appropriate methodologies.
- Explore and analyze large, complex datasets.
- Build predictive models and algorithms for scientific applications.
- Collaborate with domain experts and cross-functional teams.
- Translate research findings into practical solutions and insights.
- Contribute to the strategic direction of research and development.
- Ensure the scalability and robustness of deployed models.
- Present findings and recommendations to stakeholders.
- Ph.D. or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Physics).
- 8+ years of experience in data science and machine learning, with leadership experience.
- Expertise in deep learning, NLP, reinforcement learning, and other ML techniques.
- Proficiency in Python or R and associated ML libraries.
- Experience with big data technologies and cloud platforms.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills.
- Proven ability to lead and manage a remote technical team.
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8
Remote Lead AI Research Scientist - NLP
Posted 19 days ago
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Job Description
Our client, a pioneering AI research lab at the forefront of developing next-generation artificial intelligence solutions, is seeking an exceptional Lead AI Research Scientist specializing in Natural Language Processing (NLP) for a fully remote role. This position offers a unique opportunity to drive groundbreaking research, develop state-of-the-art NLP models, and contribute to products that will shape the future. You will lead a team of talented researchers, define research agendas, and publish findings in top-tier conferences and journals. The ideal candidate will have a Ph.D. in Computer Science, AI, or a related field, a deep understanding of machine learning and deep learning, and a proven track record of significant contributions to NLP research. You will tackle complex challenges in areas such as large language models, information extraction, sentiment analysis, and machine translation. Responsibilities include:
Qualifications:
- Leading research initiatives in Natural Language Processing and understanding.
- Developing and refining novel deep learning architectures for NLP tasks.
- Designing and implementing experiments to evaluate model performance.
- Staying abreast of the latest advancements in AI, NLP, and machine learning.
- Mentoring and guiding junior researchers, fostering a collaborative research environment.
- Publishing research findings in leading academic venues (e.g., NeurIPS, ICML, ACL).
- Collaborating with engineering teams to translate research prototypes into deployable solutions.
- Analyzing and interpreting complex datasets to inform model development.
- Defining research roadmaps and setting ambitious goals for the NLP team.
- Contributing to intellectual property development and patent applications.
- Presenting research work internally and externally to diverse audiences.
- Managing research project timelines and resources effectively.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in NLP.
- 7+ years of research experience in NLP and deep learning, with a strong publication record.
- Expertise in transformer architectures, large language models (LLMs), and related NLP techniques.
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python and experience with relevant libraries (e.g., Hugging Face Transformers, spaCy).
- Experience with large-scale data processing and model training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven leadership and team management capabilities.
- Exceptional communication and presentation skills, crucial for remote collaboration.
- Ability to conduct independent research and drive innovation.
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