2,426 Remote Lead Data Scientist AI Research jobs in Kenya
Remote Lead Data Scientist - Machine Learning
Posted 8 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the design, development, and deployment of cutting-edge machine learning models and algorithms.
- Oversee the entire data science lifecycle, from data acquisition and preprocessing to model training, evaluation, and deployment.
- Mentor and guide a team of data scientists, fostering their technical and professional growth.
- Collaborate with stakeholders to identify business problems that can be solved with data science and machine learning.
- Develop and implement strategies for data collection, cleaning, and feature engineering.
- Conduct advanced statistical analysis and hypothesis testing to derive actionable insights.
- Stay current with the latest research and advancements in machine learning and artificial intelligence.
- Communicate complex technical findings and recommendations to both technical and non-technical audiences.
- Ensure the scalability, performance, and reliability of deployed models.
- Contribute to the development of the company's data science infrastructure and best practices.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 8+ years of hands-on experience in data science and machine learning, with a proven track record of delivering impactful solutions.
- 5+ years of experience leading data science teams or projects.
- Expertise in a wide range of machine learning algorithms and techniques (e.g., deep learning, reinforcement learning, NLP).
- Proficiency in Python or R, along with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of statistical modeling and experimental design.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and leadership abilities, with experience managing remote teams.
Remote Lead Data Scientist - Machine Learning Applications
Posted 2 days ago
Job Viewed
Job Description
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.
Remote Lead Data Scientist - AI/ML
Posted 21 days ago
Job Viewed
Job Description
Remote Lead Data Scientist - AI Research
Posted 11 days ago
Job Viewed
Job Description
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.
Remote Lead Data Scientist - AI & Machine Learning
Posted 8 days ago
Job Viewed
Job Description
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.
Remote Lead Research Scientist - AI/ML
Posted 4 days ago
Job Viewed
Job Description
Lead Data Scientist - Remote Analytics & AI
Posted 22 days ago
Job Viewed
Job Description
Be The First To Know
About the latest Remote lead data scientist ai research Jobs in Kenya !
Lead Data Scientist - Remote Machine Learning
Posted 12 days ago
Job Viewed
Job Description
- 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.
Remote Lead AI Research Scientist - Machine Learning
Posted 7 days ago
Job Viewed
Job Description
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 7+ years of research experience in AI/ML, with a focus on developing novel algorithms.
- Demonstrated expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong publication record in top AI conferences (e.g., NeurIPS, ICML, CVPR, ACL).
- Experience with large-scale data processing and distributed systems.
- Proven leadership experience, with the ability to mentor and guide research teams.
- Exceptional analytical, problem-solving, and communication skills.
- Experience working effectively in a remote, collaborative environment.
Remote Lead AI Research Scientist
Posted 14 days ago
Job Viewed
Job Description
Key responsibilities include designing and conducting advanced AI research experiments, analyzing complex datasets, and developing sophisticated models. You will publish research findings in top-tier academic conferences and journals, and patent new technologies. Collaboration with engineering teams to integrate research outcomes into production systems will be a crucial aspect of your role. You will also mentor junior researchers, stay abreast of the latest advancements in the field, and contribute to the strategic direction of the company's AI research roadmap.
The ideal candidate will hold a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 7 years of extensive research experience in AI, with a strong publication record and proven success in leading research projects, is required. Deep expertise in programming languages such as Python, R, and proficiency with AI frameworks like TensorFlow, PyTorch, and scikit-learn are essential. Exceptional analytical, problem-solving, and critical thinking skills are paramount. You should possess outstanding communication and presentation abilities to effectively convey complex technical concepts to both technical and non-technical audiences. Experience in leading and managing remote research teams and driving innovation in a fast-paced environment is highly desirable. This role is perfect for a visionary researcher passionate about shaping the future of AI.