402 Senior Data Scientist jobs in Kenya
Data Scientist - Machine Learning
Posted 3 days ago
Job Viewed
Job Description
Junior Data Scientist
Posted today
Job Viewed
Job Description
Graduate Data Scientist
Posted today
Job Viewed
Job Description
Senior Data Scientist
Posted today
Job Viewed
Job Description
Responsibilities:
- Design, develop, and deploy machine learning models and statistical algorithms.
- Analyze large, complex datasets to identify trends, patterns, and insights.
- Clean, transform, and preprocess data to prepare it for analysis and modeling.
- Develop predictive models for forecasting, classification, and anomaly detection.
- Collaborate with stakeholders to understand business needs and translate them into data science problems.
- Communicate complex analytical findings and recommendations clearly through visualizations and reports.
- Evaluate and improve the performance and scalability of data science solutions.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
- Mentor junior data scientists and contribute to the team's knowledge base.
- Ensure data quality and integrity throughout the analytical process.
- Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in data science, machine learning, or statistical modeling.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong knowledge of statistical concepts and machine learning algorithms.
- Experience with SQL and relational databases.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and manage projects in a remote setting.
Data Scientist - Junior
Posted today
Job Viewed
Job Description
Senior Data Scientist
Posted 1 day ago
Job Viewed
Job Description
- Designing and implementing machine learning models for predictive analytics and classification.
- Performing exploratory data analysis to identify trends and patterns.
- Developing algorithms and data mining techniques to solve complex problems.
- Building and deploying data pipelines for model training and evaluation.
- Communicating complex findings and recommendations to technical and non-technical audiences.
- Collaborating with engineering teams to integrate models into production systems.
- Evaluating model performance and iterating to improve accuracy and efficiency.
- Staying abreast of the latest advancements in data science and machine learning.
- Mentoring junior data scientists and contributing to team knowledge sharing.
- Ensuring data quality and integrity throughout the analysis process.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in data science or a related analytical role.
- Expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Proficiency in programming languages like Python or R, and associated data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and NoSQL databases.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation abilities for remote collaboration.
- Ability to work independently and manage multiple projects effectively.
Junior Data Scientist
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Assist senior data scientists in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
- Support the development, training, and evaluation of machine learning models under supervision.
- Contribute to data visualization efforts to effectively communicate findings.
- Document methodologies, code, and results clearly and concisely.
- Participate actively in team meetings, brainstorming sessions, and project discussions.
- Learn and apply various data science tools and programming languages (e.g., Python, R, SQL).
- Assist in testing and validating model performance and accuracy.
- Gain exposure to different areas of data science, including statistical modeling, machine learning, and data mining.
- Contribute to a culture of learning and innovation within the remote team.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Solid understanding of fundamental statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with SQL for data querying and manipulation.
- Basic knowledge of data visualization tools and libraries.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with an eagerness to learn and contribute.
- Ability to work independently and manage time effectively in a remote setting.
- A proactive attitude and a keen interest in data-driven problem-solving.
- Must be eligible to participate in an internship program.
Be The First To Know
About the latest Senior data scientist Jobs in Kenya !
Lead Data Scientist
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Lead the design, development, and implementation of advanced statistical models and machine learning algorithms.
- Mentor and guide a team of data scientists, fostering their technical and professional growth.
- Collaborate with product managers, engineers, and business stakeholders to identify opportunities for data-driven innovation.
- Develop and execute complex analytical projects from conception to deployment.
- Communicate findings, insights, and recommendations clearly and effectively to diverse audiences.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Ensure the scalability, reliability, and maintainability of data science solutions.
- Contribute to the development of best practices and methodologies within the data science team.
- Manage data governance and ensure ethical use of data.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 8+ years of experience in data science, with a focus on advanced modeling and machine learning.
- Proven experience leading data science projects and teams.
- Expertise in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong knowledge of big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Excellent understanding of statistical inference, experimental design, and hypothesis testing.
- Superb communication and interpersonal skills, with the ability to explain complex concepts to non-technical stakeholders.
- Demonstrated ability to translate business problems into data science solutions.
Senior Data Scientist
Posted 1 day ago
Job Viewed
Job Description
Graduate Data Scientist
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and preparing large datasets for analysis.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop and implement basic machine learning models under supervision.
- Contribute to the development of data visualizations and reports to communicate findings.
- Collaborate with senior data scientists on project tasks and data challenges.
- Learn and apply statistical techniques and algorithms.
- Participate in team meetings and contribute to discussions on data-related problems.
- Document methodologies, code, and findings.
- Assist in evaluating model performance and identifying areas for improvement.
- Gain exposure to various data science tools and programming languages.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis principles.
- Familiarity with programming languages such as Python or R.
- Exposure to data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
- Basic knowledge of machine learning algorithms and techniques.
- Excellent analytical and problem-solving abilities.
- Strong communication skills, with the ability to explain technical concepts to a non-technical audience.
- Ability to work independently and as part of a remote team.
- Enthusiasm for learning and a passion for data.
- Must be eligible to undertake an internship in Kenya.