380 Data Scientist Positions jobs in Nairobi
Data analytics and Research Intern
Posted today
Job Viewed
Job Description
A Business Data Analytics and Research intern plays a crucial role in organizations by leveraging data to drive strategic decision-making, conducting research to identify market trends, and optimizing business operations. Below are key responsibilities and skills typically associated with this role:
Key Responsibilities:
Data Collection and Analysis
:Gather and analyze business, market, and financial data from various sources to provide insights into performance and trends.
- Use statistical tools to interpret data sets, identifying patterns and trends that inform business decisions.
2.Data Visualization, Reporting and Presentation
:
- Prepare and present detailed reports, dashboards, and visualizations that summarize key data insights and findings.
- Communicate complex data results to non-technical stakeholders in a clear and actionable manner.
- Capacity to develop concept notes and proposals based on market research gaps
3. Market Research
:
- Conduct qualitative and quantitative research to identify new market opportunities, competitor analysis, and customer preferences.
- Evaluate market conditions, industry trends, and competitors' activities to support business growth strategies.
- Prepare presentations based on market research reports
4.Business Performance Monitoring
:
- Monitor key performance indicators (KPIs) to track business progress and identify areas for improvement.
- Recommend improvements based on data insights to optimize processes, reduce costs, and increase profitability.
5.Collaborating with Teams
:
- Work closely with different departments such as marketing, finance, and operations to align data-driven insights with business objectives.
- Provide support for product development, sales strategies, and customer experience initiatives through data analysis.
6.Data Management
:
- Ensure the accuracy, completeness, and security of data.
- Develop and maintain databases, data collection systems, and strategies for efficient data storage and retrieval.
Key Skills:
1.Data Analytics Tools
:
- Proficient in tools like SQL, Excel, Tableau, Power BI, Google Analytics, and other business intelligence platforms.
2.Statistical Analysis
:
- Knowledge of statistical software (e.g., R, SAS, SPSS) and techniques such as regression analysis, hypothesis testing, and predictive modeling.
3.Research and Excellent Writing skills:
- Strong ability to conduct both primary and secondary research, including surveys, interviews, and literature reviews.
- Capacity to develop report and concepts based on market research reports
4.Problem-Solving
:
- Analytical thinking to identify issues, trends, and opportunities through data, and propose actionable solutions.
5.Communication Skills
:
- Excellent written and verbal communication skills to present findings and recommendations clearly to stakeholders.
6.Attention to Detail
:
- High level of precision in handling large data sets and ensuring data accuracy.
7.Project Management
:
- Ability to manage multiple research projects simultaneously, ensuring timely delivery of results.
Education, knowledge and experience:
- A degree in Agricultural Economics or a related field.
- Experience in management and analysis of data.
- Field experience and synthesis of data and lessons for learning
- Knowledge and savvy of data analysis software, especially Stata.
- Very strong analytical skills and applied statistical experience.
- Good scientific wring experience.
AI Research Scientist - Machine Learning
Posted 3 days ago
Job Viewed
Job Description
Principal Research Scientist - AI & Machine Learning
Posted 18 days ago
Job Viewed
Job Description
Principal AI Research Scientist - Machine Learning
Posted 3 days ago
Job Viewed
Job Description
AI Research Scientist - Computer Vision
Posted 9 days ago
Job Viewed
Job Description
Remote AI Research Scientist - Machine Learning
Posted 19 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct original research in machine learning, deep learning, and related AI fields.
- Develop and implement novel algorithms and models for AI applications.
- Design and execute experiments to validate research hypotheses and evaluate model performance.
- Analyze large-scale datasets to extract meaningful insights and inform model development.
- Collaborate with other researchers and engineers on joint projects in a virtual setting.
- Publish research findings in leading AI conferences and journals.
- Stay abreast of the latest advancements and trends in AI and machine learning.
- Develop prototypes and proof-of-concepts for new AI technologies.
- Contribute to the strategic direction of AI research and development efforts.
- Mentor junior researchers and contribute to building a strong research culture.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven track record of research publications in reputable AI conferences and journals.
- Deep expertise in machine learning algorithms, statistical modeling, and deep learning frameworks (TensorFlow, PyTorch).
- Strong programming skills, particularly in Python, with experience in relevant libraries (NumPy, SciPy, Pandas).
- Experience with big data technologies and cloud computing platforms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, comfortable working in a remote, distributed team.
- Ability to work independently, manage research projects, and drive innovation.
Senior AI Research Scientist (Machine Learning)
Posted 19 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence.
- Develop and implement novel algorithms and models for AI applications.
- Design and execute experiments to validate research hypotheses and model performance.
- Analyze large datasets to extract insights and identify patterns relevant to AI research.
- Collaborate with other researchers and engineers to advance AI capabilities.
- Publish research findings in leading academic conferences and journals.
- Contribute to the development of AI-powered products and services.
- Stay abreast of the latest advancements and trends in the field of AI and machine learning.
- Mentor junior researchers and interns.
- Translate complex research concepts into practical implementations.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of impactful research and publications in top-tier AI/ML venues.
- Minimum of 7 years of research experience in AI and machine learning.
- Expertise in one or more areas: deep learning, reinforcement learning, natural language processing, computer vision, etc.
- Proficiency in programming languages such as Python.
- Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Strong understanding of mathematical and statistical foundations of machine learning.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for presenting research and collaborating with teams.
- Ability to work independently and manage research projects effectively in a remote setting.
- Experience with distributed computing frameworks (e.g., Spark) is a plus.
Be The First To Know
About the latest Data scientist positions Jobs in Nairobi !
Principal AI Research Scientist - Computer Vision
Posted 14 days ago
Job Viewed
Job Description
Remote Principal AI Research Scientist - Machine Learning
Posted 10 days ago
Job Viewed
Job Description
Key responsibilities include conceptualizing and executing research projects, exploring novel approaches to machine learning, deep learning, and related AI domains. You will collaborate with a team of world-class researchers and engineers to translate theoretical concepts into practical applications. This role requires a deep understanding of theoretical ML principles, statistical modeling, and various ML techniques, including supervised, unsupervised, and reinforcement learning. Experience with large-scale data processing, distributed computing, and cloud platforms is essential. The Principal AI Research Scientist will also mentor junior researchers, present findings to internal and external audiences, and stay abreast of the latest advancements in the field. A strong publication record in leading AI venues (e.g., NeurIPS, ICML, ICLR) is highly desirable. This is an exceptional chance for a visionary AI expert to drive innovation and make significant contributions to the field, working remotely from Mombasa, Mombasa, KE , and influencing global technological advancements. We are looking for an individual with a proven ability to conduct independent, high-impact research and a passion for solving complex AI challenges. Your leadership in defining research directions and mentoring emerging talent will be crucial to the continued success of our client's AI initiatives.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 8 years of relevant research experience in AI/ML.
- Extensive publication record in top-tier AI/ML conferences and journals.
- Deep theoretical and practical expertise in machine learning, deep learning, and statistical modeling.
- Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch).
- Experience with large-scale data analysis and distributed computing frameworks (e.g., Spark).
- Proven ability to lead research projects and mentor junior scientists.
- Strong problem-solving skills and creativity in developing novel AI solutions.
- Excellent communication and presentation skills.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
Junior Data Scientist for AI Research
Posted 19 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in the collection, cleaning, and pre-processing of large datasets for AI model training.
- Support the development and implementation of machine learning models and algorithms under the guidance of senior researchers.
- Conduct exploratory data analysis to identify patterns and insights relevant to research objectives.
- Help in the evaluation and validation of model performance using various metrics.
- Contribute to the documentation of research findings, methodologies, and code.
- Participate in team meetings and brainstorming sessions to discuss project progress and future directions.
- Research and present relevant academic papers and industry trends in AI and ML.
- Assist in the preparation of research reports and presentations for internal and external audiences.
- Implement and test new AI techniques and frameworks.
- Collaborate with other interns and team members on assigned tasks.
- Ensure code is well-documented and follows best practices for reproducibility.
- Learn and apply advanced statistical and computational techniques relevant to AI research.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related quantitative field.
- Solid understanding of fundamental machine learning concepts and algorithms.
- Proficiency in Python and experience with relevant libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy.
- Familiarity with data manipulation and analysis techniques.
- Strong problem-solving abilities and attention to detail.
- Excellent communication skills, both written and verbal, with the ability to articulate technical concepts clearly.
- Ability to work effectively in a remote, collaborative team environment.
- Eagerness to learn and adapt to new technologies and research challenges.
- Previous exposure to AI research projects or Kaggle competitions is a plus.
- Demonstrated passion for artificial intelligence and its applications.
This is a fully remote internship position, providing a flexible and dynamic work experience. You will gain invaluable experience and contribute to meaningful AI research from wherever you are.