41 Statistical Modeling jobs in Kenya
Remote Junior Data Scientist - Predictive Modeling
00100 Abothuguchi West
KES60000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client, a rapidly growing tech startup focused on AI-driven solutions, is looking for an enthusiastic and bright Remote Junior Data Scientist to join their innovative team. This internship, nominally based in Nairobi, Nairobi, KE , is a fully remote position designed for aspiring data scientists eager to gain hands-on experience in predictive modeling and machine learning. You will work alongside senior data scientists, contributing to real-world projects and learning cutting-edge techniques.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Support the development and implementation of machine learning models for predictive analysis, classification, and clustering.
- Conduct exploratory data analysis to identify patterns, trends, and insights.
- Create data visualizations to communicate findings and model performance.
- Collaborate with senior data scientists on feature engineering and model selection.
- Participate in code reviews and contribute to the development of robust data science pipelines.
- Help in the evaluation and validation of model performance using appropriate metrics.
- Research and stay updated on the latest advancements in data science, machine learning, and AI.
- Document methodologies, code, and results clearly and comprehensively.
- Assist in preparing presentations and reports on project findings for internal teams.
- Learn and apply new tools and technologies within the data science ecosystem.
- Contribute to team discussions and brainstorming sessions for new project ideas.
- Ensure the ethical and responsible use of data throughout all projects.
- Gain practical experience in building end-to-end data science solutions under mentorship.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Familiarity with programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Basic understanding of data manipulation and database querying (e.g., SQL).
- Eagerness to learn and develop skills in data analysis, modeling, and visualization.
- Strong analytical and problem-solving abilities.
- Good communication skills, with the ability to articulate technical concepts.
- Ability to work independently, manage time effectively, and collaborate remotely.
- Proactive attitude and a genuine passion for data science and technology.
- Prior exposure to data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
This advertiser has chosen not to accept applicants from your region.
0
Graduate Remote Data Scientist - Predictive Modeling
01000 Witeithie
KES50000 month
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is excited to offer a fully remote Graduate Data Scientist internship focused on Predictive Modeling. This is an exceptional opportunity for a recent graduate or soon-to-be graduate with a strong quantitative background and a passion for data science to gain hands-on experience in a dynamic, remote work environment. You will work closely with our experienced data science team, contributing to the development and refinement of predictive models that drive business insights and decision-making. Although the position is fully remote, your initial exposure might involve understanding data patterns relevant to regions like **Thika, Kiambu, KE**, and other areas where our client operates.
Your responsibilities will include data cleaning, feature engineering, building and validating statistical and machine learning models, and interpreting model results. You will collaborate on projects involving forecasting, customer segmentation, risk assessment, and other areas where predictive analytics can provide significant value. This internship requires a solid understanding of programming languages such as Python or R, and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). You will also gain exposure to data visualization tools to effectively communicate findings. The ideal candidate is a quick learner, detail-oriented, and possesses strong problem-solving skills. This remote role emphasizes self-motivation and the ability to manage your own workload effectively. You will have the opportunity to present your work to the team and contribute to real-world data science challenges. This internship is designed to provide a comprehensive learning experience, equipping you with valuable skills and practical knowledge in the field of data science and predictive analytics. We encourage candidates who are eager to apply their academic knowledge in a professional setting and contribute to innovative projects.
Qualifications:
Your responsibilities will include data cleaning, feature engineering, building and validating statistical and machine learning models, and interpreting model results. You will collaborate on projects involving forecasting, customer segmentation, risk assessment, and other areas where predictive analytics can provide significant value. This internship requires a solid understanding of programming languages such as Python or R, and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). You will also gain exposure to data visualization tools to effectively communicate findings. The ideal candidate is a quick learner, detail-oriented, and possesses strong problem-solving skills. This remote role emphasizes self-motivation and the ability to manage your own workload effectively. You will have the opportunity to present your work to the team and contribute to real-world data science challenges. This internship is designed to provide a comprehensive learning experience, equipping you with valuable skills and practical knowledge in the field of data science and predictive analytics. We encourage candidates who are eager to apply their academic knowledge in a professional setting and contribute to innovative projects.
Qualifications:
- Recent graduate or current student pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Strong programming skills in Python or R.
- Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, Matplotlib).
- Knowledge of statistical modeling and machine learning techniques.
- Basic understanding of databases and SQL.
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills, essential for remote teamwork.
- Self-motivated with the ability to work independently and manage time effectively.
- A keen interest in learning and applying new data science methodologies.
This advertiser has chosen not to accept applicants from your region.
1
Graduate Trainee - Data Analysis
40200 Abothuguchi West
KES60000 month
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is offering an exceptional fully remote Graduate Trainee program in Data Analysis for ambitious and intellectually curious recent graduates. This is an unparalleled opportunity to kick-start your career in a fast-paced, data-driven environment, working alongside experienced professionals. You will receive comprehensive training and hands-on experience in various aspects of data analysis, interpretation, and reporting. The program is designed to equip you with the essential skills needed to excel in the field, from data collection and cleaning to advanced statistical analysis and visualization. You will be exposed to real-world business challenges and contribute to meaningful projects, gaining invaluable practical knowledge.
Program Highlights:
We are seeking highly motivated individuals with a strong academic background in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. A passion for data, strong analytical aptitude, and excellent communication skills are essential. While this role is fully remote, candidates should ideally be located within reasonable proximity to Ongata Rongai, Kajiado, KE , for occasional team gatherings or future potential hybrid arrangements as the company evolves. This is your chance to build a solid foundation in data analysis and embark on a rewarding career.
Program Highlights:
- Intensive training in data analysis tools and techniques, including SQL, Python/R, and data visualization software (e.g., Tableau, Power BI).
- Hands-on experience working with large datasets to extract actionable insights.
- Mentorship from senior data analysts and a supportive learning environment.
- Exposure to various business functions and understanding how data drives decision-making.
- Opportunities to contribute to ongoing projects and present findings to stakeholders.
- Development of crucial soft skills, including problem-solving, communication, and teamwork in a remote setting.
- A structured learning path designed for rapid professional growth.
- Potential for a full-time position upon successful completion of the trainee program.
We are seeking highly motivated individuals with a strong academic background in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. A passion for data, strong analytical aptitude, and excellent communication skills are essential. While this role is fully remote, candidates should ideally be located within reasonable proximity to Ongata Rongai, Kajiado, KE , for occasional team gatherings or future potential hybrid arrangements as the company evolves. This is your chance to build a solid foundation in data analysis and embark on a rewarding career.
This advertiser has chosen not to accept applicants from your region.
2
Remote Geologist - Data Analysis
00200 Mlolongo, Eastern
KES120000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client, a progressive international mining corporation, is seeking a skilled and analytical Remote Geologist to join their exploration and resource assessment team. This is a unique opportunity to contribute to critical geological projects from the comfort of your home office, focusing on the rich mineral potential of the **Mlolongo, Machakos, KE** region. The successful candidate will leverage advanced data analysis techniques to interpret geological data, model resource potential, and support strategic mining decisions. If you are passionate about uncovering Earth's resources and possess strong quantitative skills, we encourage you to apply.
Responsibilities:
Qualifications:
Responsibilities:
- Analyze geological and geophysical data from various sources, including core samples, well logs, seismic surveys, and remote sensing imagery.
- Develop and refine 3D geological models to delineate mineralized zones and estimate resource quantities.
- Perform statistical analysis and geostatistical modeling to assess resource uncertainty and confidence levels.
- Prepare comprehensive geological reports, maps, and presentations for internal stakeholders and regulatory bodies.
- Collaborate with senior geologists and engineers to define exploration targets and develop drilling programs.
- Identify and implement best practices in data management, quality control, and geological interpretation.
- Utilize specialized software such as Leapfrog, ArcGIS, Vulcan, or similar geological modeling and GIS platforms.
- Interpret exploration results and provide recommendations for further exploration or development activities.
- Stay updated on the latest advancements in geological techniques, software, and mining technologies.
- Ensure compliance with environmental and safety standards in all data analysis and reporting activities.
Qualifications:
- Master's degree or Ph.D. in Geology, Geophysics, or a related geoscience field.
- Minimum of 5 years of experience in mineral exploration or mining geology, with a strong focus on data analysis and modeling.
- Demonstrated proficiency in geological modeling software (e.g., Leapfrog, Vulcan, Datamine) and GIS software (e.g., ArcGIS).
- Expertise in statistical analysis, geostatistics (e.g., kriging), and resource estimation techniques.
- Strong understanding of various geological deposit types relevant to the region's mineralogy.
- Excellent written and verbal communication skills, with the ability to present complex technical information clearly.
- Ability to work independently and collaboratively in a remote team setting.
- Proficiency in data analysis tools and programming languages (e.g., Python, R) is highly desirable.
- Experience with remote sensing data interpretation is a plus.
- Must have a robust internet connection and a home office setup.
This advertiser has chosen not to accept applicants from your region.
3
Graduate Trainee - Data Analysis
40100 Kisumu
KES30000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Embark on your career journey with our dynamic Graduate Trainee program focused on Data Analysis. This is an exclusive fully remote opportunity, designed for ambitious recent graduates eager to immerse themselves in the world of data. Our client is committed to nurturing emerging talent and providing a robust foundation for a successful career. As a Graduate Trainee, you will work closely with experienced data analysts, learning to collect, clean, analyse, and interpret complex datasets. You will gain hands-on experience with various data analysis tools and techniques, contributing to meaningful projects and gaining invaluable industry exposure. This program offers a unique chance to develop critical skills in a supportive and innovative remote environment.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in the collection and organisation of data from various sources.
- Perform data cleaning and preparation tasks to ensure data accuracy and integrity.
- Conduct basic data analysis using statistical methods and relevant software.
- Create visualisations and reports to present data insights.
- Learn and apply different data analysis techniques and tools.
- Support senior analysts in ongoing projects and ad-hoc data requests.
- Participate in team meetings and contribute to discussions.
- Develop an understanding of business requirements and how data can inform decisions.
- Complete assigned training modules and tasks effectively.
- Maintain organised data files and documentation.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Familiarity with data analysis concepts and basic statistical knowledge.
- Basic proficiency in spreadsheet software (e.g., Microsoft Excel).
- An eagerness to learn and develop new skills in data analysis.
- Excellent communication and interpersonal skills.
- Ability to work independently and manage tasks effectively in a remote setting.
- A keen eye for detail.
- Candidates must have completed their undergraduate studies within the last 12 months.
This advertiser has chosen not to accept applicants from your region.
4
Remote Agronomist - Data Analysis
40100 Kisumu
KES300000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and data-driven Remote Agronomist to provide expert advice and analysis on agricultural practices and crop management, operating entirely from a remote location. This role is essential for optimizing farm productivity, promoting sustainable agriculture, and leveraging data to inform decision-making across various agricultural operations. The ideal candidate will possess a strong foundation in agronomy, soil science, plant pathology, and crop physiology, coupled with advanced data analysis and statistical modeling skills. You will be responsible for analyzing field data, environmental factors, and crop performance metrics to provide actionable recommendations to farmers and agricultural businesses. Key responsibilities include developing customized crop management plans, advising on pest and disease control strategies, recommending optimal fertilizer and irrigation practices, and interpreting data from precision agriculture technologies. You will collaborate with researchers, technology providers, and agricultural stakeholders to drive innovation and best practices. Proficiency in agricultural software, GIS tools, statistical analysis software (e.g., R, SPSS), and data visualization platforms is crucial. Excellent communication skills are required to effectively convey complex agronomic information and data insights to a diverse audience, including farmers and agricultural managers, through virtual channels. This is an exciting opportunity for an experienced agronomist to contribute to the advancement of agriculture in a fully remote role, supporting key initiatives within **Kisumu, Kisumu, KE**. If you are passionate about agriculture, data, and innovation, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
5
Graduate Trainee - Data Analysis
01005 Ruiru, Central
KES80000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is launching a comprehensive Graduate Trainee program focused on Data Analysis, offering a unique opportunity for ambitious recent graduates to build a career in a fully remote capacity. This program is designed to provide hands-on experience and in-depth training in data interpretation, statistical analysis, and data visualization. As a Graduate Trainee, you will work closely with experienced data analysts and business stakeholders to support data-driven decision-making across the organization. Your responsibilities will include collecting, cleaning, and organizing data from various sources. You will assist in performing statistical analysis to identify trends, patterns, and insights. Developing reports and dashboards using tools like Excel, SQL, and potentially BI platforms such as Tableau or Power BI will be a key part of your role. You will learn to interpret complex data sets and translate findings into clear, actionable recommendations. This is a remote-first opportunity, requiring a keen analytical mind, strong attention to detail, and the ability to learn quickly in a virtual environment. You must be comfortable using digital collaboration tools and managing your workload independently. While this role is remote, the foundational understanding and opportunities to apply your skills are relevant to businesses operating in the vicinity of Ruiru, Kiambu, KE . The ideal candidate will have a degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. Essential skills include proficiency in Microsoft Excel and a foundational understanding of databases and SQL. Any exposure to programming languages like Python or R for data analysis is a significant advantage. We are looking for enthusiastic individuals eager to develop their skills in data analysis and contribute to real-world business challenges. This program offers excellent mentorship and the chance to gain valuable experience in a supportive remote team environment. Your proactivity, willingness to learn, and analytical aptitude will be highly valued. This is an excellent entry point for a career in data science and analytics.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Statistical modeling Jobs in Kenya !
6
Graduate Trainee - Data Analysis
20100 Kapsuser
KES40000 month
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is looking for enthusiastic and bright graduates to join our team as Graduate Trainees, specializing in Data Analysis. This is an exceptional opportunity for recent graduates to launch their careers in a dynamic and innovative environment, gaining hands-on experience in data-driven decision-making. This is a fully remote position, offering flexibility and professional growth.
As a Graduate Trainee, you will immerse yourself in the world of data, learning to collect, clean, process, and analyze complex datasets. You will work closely with senior analysts and data scientists to identify trends, patterns, and insights that can inform business strategies. Responsibilities include developing and implementing databases, data collection systems, and data analytics strategies that prioritize quality and accuracy. You will also assist in creating reports and dashboards to visualize data effectively for various stakeholders.
This program is designed to provide comprehensive training in data analysis tools and techniques, including SQL, Python/R, and data visualization software. You will be involved in various stages of the data lifecycle, from data wrangling to predictive modeling. The program emphasizes continuous learning and development, with opportunities to work on real-world projects and contribute to meaningful business outcomes. Mentorship from experienced professionals will be a key component of your development.
We are seeking individuals with a strong analytical mindset, a keen eye for detail, and a passion for data. A Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field is required. Proficiency in Microsoft Excel and a foundational understanding of statistical concepts are essential. Familiarity with programming languages like Python or R, and database querying languages like SQL, is a strong advantage. Excellent problem-solving abilities and strong communication skills are necessary to articulate findings effectively. This role, while conceptually linked to **Kericho, Kericho, KE**, operates entirely remotely.
As a Graduate Trainee, you will immerse yourself in the world of data, learning to collect, clean, process, and analyze complex datasets. You will work closely with senior analysts and data scientists to identify trends, patterns, and insights that can inform business strategies. Responsibilities include developing and implementing databases, data collection systems, and data analytics strategies that prioritize quality and accuracy. You will also assist in creating reports and dashboards to visualize data effectively for various stakeholders.
This program is designed to provide comprehensive training in data analysis tools and techniques, including SQL, Python/R, and data visualization software. You will be involved in various stages of the data lifecycle, from data wrangling to predictive modeling. The program emphasizes continuous learning and development, with opportunities to work on real-world projects and contribute to meaningful business outcomes. Mentorship from experienced professionals will be a key component of your development.
We are seeking individuals with a strong analytical mindset, a keen eye for detail, and a passion for data. A Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field is required. Proficiency in Microsoft Excel and a foundational understanding of statistical concepts are essential. Familiarity with programming languages like Python or R, and database querying languages like SQL, is a strong advantage. Excellent problem-solving abilities and strong communication skills are necessary to articulate findings effectively. This role, while conceptually linked to **Kericho, Kericho, KE**, operates entirely remotely.
This advertiser has chosen not to accept applicants from your region.
7
Remote Trainee - Data Analysis
40100 Kisumu
KES38000 month
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
WhatJobs is actively recruiting for a Remote Trainee Data Analyst to join our expanding analytics division. This role is ideal for individuals with a keen interest in numbers, problem-solving, and gaining practical experience in data interpretation and visualization. As a trainee, you will be immersed in a learning environment, working on real-world datasets to extract meaningful insights that drive business decisions. Your responsibilities will encompass data cleaning, preprocessing, and performing exploratory data analysis under the guidance of senior analysts. You will learn to use various analytical tools and software, including spreadsheets, SQL, and potentially basic programming languages like Python or R. A significant part of your role will involve creating clear and concise reports and dashboards to communicate findings to stakeholders. This is a fully remote position, requiring self-discipline, excellent organizational skills, and the ability to communicate effectively through digital channels. We are looking for candidates who are detail-oriented, possess strong logical reasoning abilities, and have a desire to build a career in data science. You will be expected to actively participate in virtual team discussions, ask questions, and seek feedback to accelerate your learning process. This traineeship offers comprehensive training, exposure to diverse business problems, and opportunities for professional growth. If you are analytical, curious, and ready to dive into the world of data, this is the perfect opportunity for you.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in data extraction and cleaning from various sources.
- Perform basic data analysis and identify trends.
- Create reports and visualizations to present findings.
- Support senior analysts with data-related tasks.
- Learn and apply data analysis methodologies.
- Maintain data integrity and accuracy.
- Document data processes and findings.
- Participate in virtual team meetings and knowledge sharing sessions.
- Develop proficiency in data analysis tools and software.
- Contribute to the development of data-driven insights.
Qualifications:
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or equivalent practical experience.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel or Google Sheets.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Proactive attitude and a strong desire to learn data analysis techniques.
- Basic understanding of database concepts is a plus.
- Must have a reliable internet connection and a suitable remote workspace.
This advertiser has chosen not to accept applicants from your region.
8
Geophysicist, Remote Data Analysis
00200 Abothuguchi West
KES85000 month
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client is looking for a skilled Geophysicist to join their exploration team, focusing on the analysis of geophysical data collected remotely. This fully remote position involves processing, interpreting, and modeling various geophysical datasets to identify potential mineralized zones and understand subsurface geological structures. Your analytical prowess will be key to guiding exploration efforts efficiently.
Key responsibilities include:
Key responsibilities include:
- Processing and interpreting geophysical data from various sources, including ground-based surveys (magnetic, gravity, IP, EM) and airborne surveys.
- Developing and applying geophysical modeling techniques to delineate subsurface structures and anomalies.
- Integrating geophysical data with geological and geochemical information to generate exploration targets.
- Utilizing specialized geophysical software packages for data analysis and visualization.
- Collaborating with geologists and exploration managers to refine exploration strategies based on geophysical interpretations.
- Preparing comprehensive technical reports and presentations detailing survey results and interpretations.
- Contributing to the selection and design of appropriate geophysical survey methods for specific exploration campaigns.
- Ensuring data quality control and assurance throughout the processing workflow.
- Keeping abreast of new developments and technologies in the field of geophysics.
- Providing technical support and guidance to exploration teams as needed.
- Adhering to all safety and environmental standards applicable to remote work and data analysis.
This advertiser has chosen not to accept applicants from your region.
9