388 Data Scientist Positions jobs in Kenya
Data Scientist - Machine Learning
40100 Kisumu
KES180000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a talented and innovative Data Scientist specializing in Machine Learning for a fully remote opportunity. In this role, you will harness the power of data to build predictive models, develop intelligent systems, and extract actionable insights that drive business decisions. You will be involved in the entire data science lifecycle, from data collection and cleaning to model development, evaluation, and deployment. Responsibilities include designing and implementing machine learning algorithms, conducting exploratory data analysis, performing feature engineering, and optimizing model performance. The ideal candidate will possess a strong foundation in statistical modeling, data mining, and machine learning techniques, coupled with hands-on experience with relevant tools and programming languages. Proficiency in Python or R, along with experience using libraries such as scikit-learn, pandas, and NumPy, is essential. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. You will collaborate with cross-functional teams, translating complex analytical findings into clear, understandable recommendations for stakeholders. This role requires excellent problem-solving skills, a curious mindset, and the ability to work independently in a remote setting. A Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience, is required. A minimum of 3-5 years of experience in data science and machine learning roles is preferred. You will have the opportunity to work on cutting-edge projects, contributing to the development of intelligent solutions that shape the future. This position offers the flexibility to work from anywhere while making a significant impact. We are looking for a candidate who is passionate about data, enjoys tackling challenging problems, and is committed to continuous learning.
This advertiser has chosen not to accept applicants from your region.
0
Senior Data Scientist
00100 Abothuguchi West
KES350000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client, a leading innovator in data-driven solutions, is seeking a highly skilled and analytical Senior Data Scientist to join their pioneering, fully remote team. This critical role involves leveraging advanced statistical, machine learning, and programming techniques to extract actionable insights from vast datasets, drive business decisions, and develop predictive models. You will be instrumental in tackling complex business challenges, identifying patterns, and communicating your findings to diverse stakeholders. The ideal candidate possesses a strong foundation in mathematics, statistics, computer science, and a proven track record in applying data science methodologies to real-world problems. Proficiency in programming languages such as Python or R, along with experience in big data technologies and machine learning frameworks, is essential. This is a remote-first position, offering the flexibility to work from anywhere in Kenya. You will collaborate closely with product managers, engineers, and business analysts to translate data into tangible business value. Our client fosters a culture of continuous learning, innovation, and collaborative problem-solving, providing ample opportunities for professional growth. Responsibilities:
- 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.
This advertiser has chosen not to accept applicants from your region.
1
Junior Data Scientist
40100 Kisumu
KES3000 Daily
WhatJobs
Posted today
Job Viewed
Job Description
Our client, a dynamic and innovative technology startup, is actively seeking motivated and enthusiastic Junior Data Scientists to join their cutting-edge, fully remote internship program. This is an exceptional opportunity for recent graduates or individuals seeking to launch their careers in data science to gain hands-on experience with real-world projects, working alongside experienced professionals in a collaborative virtual environment. Interns will be involved in various stages of the data science lifecycle, from data cleaning and exploration to model development and interpretation.
Responsibilities:
Qualifications:
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.
This advertiser has chosen not to accept applicants from your region.
2
Lead Data Scientist
20100 Nyeri Town
KES300000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Lead Data Scientist to join their cutting-edge research and development team. This is a fully remote position, offering the opportunity to shape the future of data-driven discovery from anywhere. You will lead complex analytical projects, mentor junior data scientists, and collaborate with stakeholders to translate intricate data into actionable insights. We are looking for a visionary leader with a deep understanding of machine learning, statistical modeling, and big data technologies. Your expertise will be crucial in developing advanced algorithms, designing experiments, and building robust data products that drive significant business value. The ideal candidate will possess a strong academic background, a passion for solving challenging problems, and a proven ability to communicate complex findings to both technical and non-technical audiences. You will be responsible for defining research roadmaps, guiding the team through the entire data science lifecycle, and ensuring the quality and scalability of our solutions. This role offers the chance to work with diverse datasets and tackle some of the most pressing challenges in our field.
Responsibilities:
Qualifications:
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.
This advertiser has chosen not to accept applicants from your region.
3
Senior Data Scientist
80201 Nairobi, Nairobi
KES350000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client, a cutting-edge technology firm, is seeking a highly skilled Senior Data Scientist to lead advanced analytics initiatives and drive data-informed decision-making. This is a fully remote position, offering the flexibility to work from anywhere. You will be responsible for developing and implementing sophisticated machine learning models, performing complex data analysis, and deriving actionable insights from large, diverse datasets. The ideal candidate will have a strong background in statistics, machine learning algorithms, data mining, and predictive modeling. Expertise in programming languages such as Python or R, along with experience in data visualization tools (e.g., Tableau, Power BI) and SQL databases, is required. You will work closely with engineering and product teams to understand business needs, define analytical approaches, and deploy models into production environments. Key responsibilities include feature engineering, model training, validation, and performance monitoring. You will also be involved in designing and conducting A/B tests and experiments. Excellent communication skills are essential for translating complex technical findings into clear, concise recommendations for non-technical stakeholders. You will mentor junior data scientists and contribute to the overall data science strategy. This role offers a challenging and rewarding opportunity to innovate and solve complex problems using data, impacting our products and services for users in the **Malindi, Kilifi, KE** region and across the globe. Your expertise will be instrumental in uncovering patterns, predicting trends, and driving business growth through advanced analytics.
This advertiser has chosen not to accept applicants from your region.
4
Graduate Data Scientist
90100 Mumbuni
KES50000 month
WhatJobs
Posted today
Job Viewed
Job Description
Our client is offering an exceptional opportunity for bright and ambitious graduates to kickstart their careers as Graduate Data Scientists within a fully remote internship program. This is an immersive, hands-on experience designed to provide interns with practical skills in data analysis, machine learning, and predictive modeling. You will work alongside experienced data scientists on real-world projects, contributing to data-driven insights and solutions that impact business operations. The program emphasizes learning and development, offering mentorship, training sessions, and exposure to cutting-edge tools and technologies. Success in this internship could lead to future full-time opportunities. The role is entirely remote, allowing you to gain valuable industry experience from the comfort of your own location in Machakos, Machakos, KE or any other suitable remote setup.
Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
5
Junior Data Scientist
00100 Abothuguchi West
KES60000 month
WhatJobs
Posted today
Job Viewed
Job Description
Our client is thrilled to offer a remote internship opportunity for an aspiring Junior Data Scientist. This program is designed to provide hands-on experience in a dynamic, data-driven environment, allowing you to contribute to real-world projects under the guidance of experienced professionals. You will be involved in data collection, cleaning, exploration, and analysis to uncover insights and support business decisions. The ideal candidate is a recent graduate or current student with a strong foundation in statistics, mathematics, and computer science, possessing a keen interest in machine learning and data analysis. You will work with datasets using programming languages like Python or R, utilizing libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow. Key responsibilities include assisting in the development of predictive models, performing statistical analysis, and visualizing data to communicate findings effectively. Collaboration with cross-functional teams will occur virtually, requiring strong communication and teamwork skills. This internship offers exposure to various data science tools and techniques, providing a comprehensive learning experience. We are looking for a motivated and curious individual eager to learn and grow in the field of data science. This is an excellent opportunity to gain practical experience and build a strong foundation for a career in this exciting domain, all while working remotely from **Nairobi, Nairobi, KE**. We encourage applications from individuals passionate about leveraging data to solve complex problems and drive innovation.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Data scientist positions Jobs in Kenya !
6
Junior Data Scientist
01000 Witeithie
KES60000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is offering an exciting opportunity for a motivated Junior Data Scientist to join their team on a fully remote basis. This internship is designed for individuals who are passionate about data, eager to learn, and looking to gain hands-on experience in a challenging and rewarding field. You will work closely with senior data scientists and analysts on various projects, assisting in data collection, cleaning, analysis, and visualization. Your contributions will help uncover insights and support data-driven decision-making across the organization. While this role is remote, occasional virtual meetups or project collaborations with colleagues who may have connections to Thika, Kiambu, KE , could occur. Key responsibilities include writing SQL queries to extract data from databases, performing statistical analysis on datasets, developing and testing machine learning models, and creating clear and concise data visualizations to communicate findings. You will also be involved in exploring new datasets and identifying potential areas for analysis. The ideal candidate will have a strong academic background in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, with a demonstrated interest in data science. Proficiency in programming languages like Python or R, and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn) are essential. Experience with data visualization tools is a plus. Excellent problem-solving skills, a keen attention to detail, and the ability to work independently and collaboratively in a remote environment are crucial. This internship provides an excellent foundation for a career in data science, offering exposure to real-world challenges and the opportunity to learn from experienced professionals.
This advertiser has chosen not to accept applicants from your region.
7
Data Scientist (Graduate)
20117 Mwembe
KES2000000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is seeking an enthusiastic and bright Graduate Data Scientist to join their innovative team in Nakuru, Nakuru, KE . This entry-level position is perfect for recent graduates passionate about data analysis, machine learning, and statistical modeling. You will have the opportunity to work on challenging projects, extract meaningful insights from complex datasets, and contribute to data-driven decision-making across the organization. This role is primarily remote, offering flexibility while requiring occasional collaboration with the local team. You will be mentored by experienced data scientists, providing a strong foundation for your career. The ideal candidate possesses a strong analytical mindset, excellent problem-solving skills, and a foundational understanding of programming and statistical concepts. We are looking for individuals who are eager to learn, adapt, and grow in a dynamic field. Your contributions will directly impact business strategies and product development. Embrace this chance to transform raw data into actionable intelligence and shape the future of our data initiatives.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and implement statistical models and machine learning algorithms.
- Collaborate with senior data scientists to build and validate predictive models.
- Create visualizations and reports to communicate findings effectively to technical and non-technical audiences.
- Assist in the deployment of machine learning models into production environments.
- Stay updated with the latest advancements in data science and machine learning.
- Participate in team meetings and contribute to project planning.
- Support A/B testing and experimental design.
- Help maintain data pipelines and ensure data integrity.
Qualifications:
- A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning techniques.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Eagerness to learn and adapt to new technologies.
- Knowledge of SQL and database management is a plus.
- Ability to work effectively in a remote and hybrid environment.
This advertiser has chosen not to accept applicants from your region.
8
Agricultural Data Scientist
80100 Mombasa, Coast
KES3800000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client, a leading innovator in agricultural technology, is looking for a talented Agricultural Data Scientist to join their fully remote team. This role is pivotal in leveraging data analytics and machine learning to drive sustainable practices and improve crop yields. You will work with vast datasets generated from farms, sensors, and weather stations to extract actionable insights that empower farmers and optimize agricultural operations.
As an Agricultural Data Scientist, your primary focus will be on developing predictive models, analyzing trends, and creating data-driven solutions for various agricultural challenges. This includes optimizing irrigation, pest management, fertilizer application, and harvest forecasting. You will collaborate with agronomists, researchers, and software engineers to translate complex data into practical applications that enhance farm productivity and environmental stewardship. This remote-first position requires strong analytical acumen, programming skills, and a passion for applying technology to agriculture.
Key Responsibilities:
Qualifications:
As an Agricultural Data Scientist, your primary focus will be on developing predictive models, analyzing trends, and creating data-driven solutions for various agricultural challenges. This includes optimizing irrigation, pest management, fertilizer application, and harvest forecasting. You will collaborate with agronomists, researchers, and software engineers to translate complex data into practical applications that enhance farm productivity and environmental stewardship. This remote-first position requires strong analytical acumen, programming skills, and a passion for applying technology to agriculture.
Key Responsibilities:
- Collect, clean, and preprocess large agricultural datasets from diverse sources (e.g., IoT sensors, satellite imagery, historical records).
- Develop and implement machine learning models for predicting crop yields, disease outbreaks, weather patterns, and optimal planting/harvesting times.
- Analyze data to identify factors influencing crop health, growth, and productivity.
- Create data visualizations and dashboards to communicate complex findings to stakeholders, including farmers and management.
- Design and conduct experiments to test hypotheses and validate model performance.
- Collaborate with agronomists to translate data insights into practical recommendations for farm management.
- Develop algorithms for optimizing resource allocation (water, fertilizers, pesticides).
- Stay updated on the latest advancements in agricultural technology, data science, and machine learning.
- Contribute to the development of data-driven tools and platforms for the agricultural sector.
- Ensure data integrity, quality, and security throughout the data lifecycle.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Agronomy, Agricultural Engineering, Computer Science, or a related quantitative field.
- Minimum of 3-5 years of experience in data science, with a focus on agricultural applications or environmental science.
- Proven experience in developing and deploying machine learning models (e.g., regression, classification, clustering, time-series forecasting).
- Strong programming skills in Python or R, including libraries for data manipulation, analysis, and machine learning (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Knowledge of agricultural practices, crop science, or environmental modeling is highly advantageous.
- Familiarity with geospatial data analysis and remote sensing is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to present technical information to non-technical audiences.
- Ability to work independently and manage projects effectively in a remote setting.
This advertiser has chosen not to accept applicants from your region.
9