39 Data Professionals jobs in Nairobi
Senior Data Scientist
80201 Nairobi, Nairobi
KES350000 Annually
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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.
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0
Lead Data Scientist
80200 Nairobi, Nairobi
KES300000 Annually
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Posted 3 days ago
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Our client is seeking an accomplished and visionary Lead Data Scientist to spearhead their advanced analytics and machine learning initiatives. This is a fully remote, high-impact role where you will guide a team of data scientists in developing sophisticated predictive models and data-driven insights. You will be responsible for defining research directions, overseeing the end-to-end data science project lifecycle, and ensuring the highest standards of analytical rigor and technical execution. The ideal candidate will possess a deep understanding of statistical modeling, machine learning algorithms, and data mining techniques, along with exceptional leadership and communication skills. Your responsibilities will include mentoring and developing junior data scientists, collaborating with cross-functional teams to identify business opportunities, and translating complex analytical findings into actionable business strategies. We are looking for a strategic thinker with a proven ability to deliver impactful data science solutions in a research and development context. Expertise in programming languages such as Python or R, proficiency with big data technologies (e.g., Spark, Hadoop), and experience with cloud-based ML platforms are essential. Familiarity with deep learning frameworks and MLOps practices is highly desirable. This remote position requires strong analytical, problem-solving, and project management skills. You will be instrumental in shaping our data strategy and driving innovation through advanced analytics. This is a unique opportunity to lead a talented team and make a significant contribution to our scientific research and development efforts. The successful candidate will be a thought leader, passionate about leveraging data to solve complex problems and drive scientific discovery. We value individuals who demonstrate creativity, intellectual curiosity, and a commitment to excellence in data science. The role is based in **Malindi, Kilifi, KE**, but will be conducted entirely remotely.
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1
Remote Junior Data Scientist
80200 Nairobi, Nairobi
KES25000 month
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Posted 1 day ago
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Our client is actively seeking enthusiastic and driven Remote Junior Data Scientists to join their innovative team as interns. This fully remote internship offers a unique opportunity to gain hands-on experience in data analysis, machine learning, and predictive modeling within a supportive and collaborative environment. You will work alongside seasoned data scientists, contributing to real-world projects and developing practical skills. This role is ideal for recent graduates or individuals looking to kickstart their career in data science. You will be involved in data collection, cleaning, exploration, and assisting in the development of data-driven solutions. The focus will be on learning and applying fundamental data science concepts and techniques.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets.
- Perform exploratory data analysis to identify patterns and insights.
- Support the development and implementation of machine learning models under supervision.
- Contribute to the visualization of data and findings for reports and presentations.
- Collaborate with senior data scientists on assigned projects.
- Learn and apply various statistical and machine learning techniques.
- Help in testing and validating models and algorithms.
- Document methodologies, code, and results clearly.
- Participate in team meetings and training sessions.
- Gain practical experience in a remote data science setting.
- 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.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Basic understanding of database concepts and SQL.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities, particularly in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- A passion for uncovering insights from data.
- Previous exposure to data science projects or academic research within the Malindi, Kilifi, KE vicinity is a plus, but not required for this remote internship.
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2
Senior Data Scientist, Bioinformatics
40100 Nairobi, Nairobi
KES4800000 Annually
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Posted 2 days ago
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Our client, a pioneering organization in biological research, is looking for a talented Senior Data Scientist specializing in Bioinformatics to join their team. This role offers a hybrid work model, allowing for both collaborative in-office sessions and remote flexibility. You will be instrumental in analyzing large-scale biological datasets, developing predictive models, and extracting actionable insights to drive groundbreaking scientific discoveries.
Key Responsibilities:
Key Responsibilities:
- Design and implement advanced statistical and machine learning models for analyzing complex biological data, including genomics, proteomics, and transcriptomics.
- Develop and maintain bioinformatics pipelines for data processing, quality control, and variant calling.
- Collaborate with research scientists, clinicians, and other stakeholders to define research questions and translate biological problems into data science challenges.
- Visualize and interpret complex biological data to identify patterns, trends, and potential therapeutic targets.
- Develop and apply novel computational approaches to accelerate biological research and drug discovery.
- Stay abreast of the latest advancements in bioinformatics, data science, and relevant biological domains.
- Contribute to the development and maintenance of databases and data warehousing solutions for biological information.
- Present research findings and methodologies at scientific conferences and in peer-reviewed publications.
- Mentor junior data scientists and bioinformaticians, fostering knowledge sharing and skill development.
- Ensure the integrity, reproducibility, and security of all analyzed data and computational workflows.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field with a strong focus on biological applications.
- Minimum of 5 years of experience in bioinformatics and data science, with a proven track record of impactful research.
- Proficiency in programming languages commonly used in bioinformatics, such as Python (with libraries like Biopython, Pandas, NumPy, Scikit-learn) and R.
- Extensive experience with relevant bioinformatics tools, databases (e.g., NCBI, Ensembl), and analysis methods (e.g., GWAS, RNA-Seq analysis, protein structure prediction).
- Strong understanding of biological pathways, molecular biology, genetics, and disease mechanisms.
- Experience with high-performance computing environments and cloud platforms (e.g., AWS, Google Cloud) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team.
- Experience with data visualization tools and techniques.
- Ability to work independently and manage multiple projects in a dynamic research environment.
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3
Junior Data Analyst
80200 Nairobi, Nairobi
KES30000 month
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Job Description
Our client is offering an exceptional opportunity for a motivated and aspiring Junior Data Analyst to join their team through a fully remote internship program. This role is designed for individuals passionate about uncovering insights from data and eager to learn and grow in a professional environment. You will work closely with experienced data professionals, gaining hands-on experience in data collection, cleaning, analysis, and visualization. This internship provides a fantastic foundation for a career in data analytics, offering exposure to real-world business challenges and cutting-edge analytical tools.
Responsibilities:
Qualifications:
This is an ideal entry-level position for students or recent graduates looking to kickstart their career in data analytics. Join our client's remote team and contribute to meaningful projects while developing essential skills. This internship offers a valuable learning experience in a supportive and collaborative virtual environment.
Responsibilities:
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and preprocessing to ensure data quality and consistency.
- Conduct basic data analysis to identify trends, patterns, and anomalies under supervision.
- Create charts, graphs, and dashboards to visualize data and communicate findings.
- Support senior analysts in preparing reports and presentations.
- Learn and apply various data analysis techniques and tools.
- Participate in team meetings and contribute to discussions on data-related projects.
- Document data processes and analytical methodologies.
- Gain exposure to different business functions and how data drives decision-making.
- Adhere to data privacy and confidentiality guidelines.
Qualifications:
- Currently pursuing or recently completed a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis principles.
- Basic proficiency in spreadsheet software (e.g., Microsoft Excel, Google Sheets).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Basic programming skills in languages like Python or R are beneficial but not required.
- Strong analytical and problem-solving aptitude.
- Excellent attention to detail and organizational skills.
- Ability to work independently and manage time effectively in a remote setting.
- Good written and verbal communication skills.
- Eagerness to learn and a proactive attitude.
This is an ideal entry-level position for students or recent graduates looking to kickstart their career in data analytics. Join our client's remote team and contribute to meaningful projects while developing essential skills. This internship offers a valuable learning experience in a supportive and collaborative virtual environment.
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4
Graduate Data Analyst
80100 Nairobi, Nairobi
KES72000 Annually
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Posted 2 days ago
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Job Description
We are excited to offer an opportunity for a bright and ambitious Graduate Data Analyst to join our analytics team remotely. This is a fully remote role, providing you with a fantastic chance to kick-start your career in data analysis from anywhere. You will work closely with experienced data scientists and analysts, learning to collect, clean, analyze, and interpret large datasets to derive meaningful insights. Your responsibilities will include assisting in the development of data models, creating reports and visualizations, and identifying trends that can inform business decisions. The ideal candidate will possess a strong analytical mindset, excellent problem-solving skills, and a solid foundation in statistics and data manipulation. Proficiency in tools like Excel, SQL, and familiarity with data visualization software would be advantageous. This role is perfect for a recent graduate eager to apply their academic knowledge in a practical, real-world setting and develop advanced analytical skills under the guidance of industry professionals.
Key Responsibilities:
Key Responsibilities:
- Assist in collecting, cleaning, and preparing data for analysis.
- Perform data validation and ensure data accuracy and integrity.
- Conduct exploratory data analysis to identify patterns and trends.
- Support the creation of reports, dashboards, and visualizations to communicate findings.
- Collaborate with senior analysts to develop and refine data models.
- Contribute to the documentation of data sources, methodologies, and results.
- Learn and apply various data analysis techniques and tools.
- Assist in troubleshooting data-related issues.
- Participate in team meetings and contribute to project discussions.
- Support ad-hoc data requests from various departments.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Recent graduate with strong academic performance in quantitative subjects.
- Solid understanding of statistical concepts and methods.
- Proficiency in Microsoft Excel, including pivot tables and advanced formulas.
- Familiarity with SQL for data querying and manipulation.
- Basic knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
- Ability to work independently and as part of a remote team.
- Good written and verbal communication skills.
- Eagerness to learn and develop new skills in data analysis.
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5
Junior Data Analyst
80200 Nairobi, Nairobi
KES60000 Annually
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Posted 2 days ago
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Job Description
Our client is seeking a highly motivated and analytical Junior Data Analyst to join their dynamic, fully remote team. This entry-level position is perfect for recent graduates eager to kick-start their careers in data science and business intelligence. You will be instrumental in transforming raw data into actionable insights that drive strategic decision-making across various departments. Working remotely, you'll collaborate with a supportive team of experienced professionals, honing your skills in a flexible and modern work environment. The primary focus will be on supporting data collection, cleaning, processing, and basic analysis, preparing you for more complex tasks as you grow within the role. You will learn to identify trends, patterns, and anomalies in large datasets, contributing to reports and presentations for stakeholders. This role demands meticulous attention to detail, strong problem-solving abilities, and a genuine curiosity for uncovering hidden stories within data. The ability to communicate findings clearly, both verbally and in writing, is essential, especially in a remote setting where clear communication is paramount. You will be expected to manage your time effectively, work autonomously, and maintain high standards of accuracy in all your work. We provide extensive training and mentorship to ensure your success. This is a fantastic opportunity to gain hands-on experience in a challenging and rewarding field, all from the comfort of your home office. If you are a recent graduate with a passion for data and a desire to learn and grow, we encourage you to apply.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform basic data analysis and identify trends and patterns.
- Contribute to the creation of reports and dashboards for internal stakeholders.
- Support senior analysts in data-driven projects.
- Develop and maintain documentation for data processes and methodologies.
- Communicate findings and insights to team members.
- Ensure data accuracy and integrity throughout all processes.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel or Google Sheets.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent communication and interpersonal skills.
- Ability to work independently and manage time effectively in a remote setting.
- A keen eye for detail and a passion for data.
- Eagerness to learn and adapt to new technologies and methodologies.
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6
Graduate Data Analyst
80100 Nairobi, Nairobi
KES25000 month
WhatJobs
Posted 4 days ago
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Job Description
Our client is offering an exciting remote internship opportunity for ambitious graduates eager to kickstart their careers in data analysis. This position is designed for individuals who are passionate about uncovering insights from data and have a strong analytical mindset. As a Graduate Data Analyst, you will be immersed in real-world projects, assisting senior analysts in collecting, cleaning, and interpreting large datasets. You will learn to use various data visualization tools and techniques to present findings in a clear and concise manner, supporting data-driven decision-making across different departments. This role requires a keen eye for detail, proficiency in statistical analysis, and a good understanding of database management principles. You will have the chance to work with cutting-edge technologies and methodologies in a supportive, remote environment. Collaboration is key, and you will be part of a virtual team, actively participating in discussions and contributing to project goals. The internship will provide hands-on experience with industry-standard software and programming languages relevant to data analysis, such as SQL, Python, or R. We are looking for individuals who are eager to learn, demonstrate strong problem-solving abilities, and can adapt quickly to new challenges. Your work will directly impact business strategies and operational improvements. This is an excellent opportunity to gain practical experience, build a professional network, and develop valuable skills in a growing field. The role encourages initiative and provides exposure to diverse datasets and analytical challenges, fostering significant professional growth in a flexible, remote setting.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform basic statistical analysis and generate reports.
- Create data visualizations to illustrate trends and patterns.
- Support senior analysts in interpreting data and drawing conclusions.
- Collaborate with team members on data-related projects.
- Learn and apply new data analysis tools and techniques.
- Document data processes and findings.
- Contribute to team meetings and discussions.
Qualifications:
- Recent graduate with a degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics).
- Strong analytical and problem-solving skills.
- Familiarity with data analysis concepts and tools.
- Proficiency in MS Excel or similar spreadsheet software.
- Basic knowledge of SQL, Python, or R is a plus.
- Excellent communication and collaboration skills.
- Ability to work independently and manage tasks effectively in a remote environment.
- Eagerness to learn and develop new skills in data analysis.
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7
Graduate Data Scientist - Machine Learning
80200 Nairobi, Nairobi
KES80000 month
WhatJobs
Posted 1 day ago
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Job Description
Our client is excited to offer a remote Graduate Data Scientist internship focused on Machine Learning. This is an exceptional opportunity for enthusiastic and driven recent graduates to gain hands-on experience in a fast-paced, innovative environment. You will work alongside experienced data scientists, contributing to real-world projects that leverage machine learning to solve complex business challenges. As a fully remote intern, you will develop critical skills in data analysis, model building, and interpretation, all while collaborating effectively with a distributed team.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preparing large datasets for machine learning model training.
- Develop, train, and evaluate machine learning models under the guidance of senior data scientists.
- Implement algorithms for classification, regression, clustering, and other data mining tasks.
- Visualize data and model results to identify trends and insights.
- Contribute to the documentation of data analysis processes, models, and findings.
- Participate in team meetings and discussions, contributing ideas and insights.
- Learn and apply various machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Support in deploying and monitoring machine learning models in production environments.
- Research and stay updated on the latest advancements in data science and machine learning.
- Collaborate effectively with remote team members through various communication platforms.
- Assist in the interpretation of model performance and provide actionable recommendations.
- Gain practical experience in an end-to-end data science project lifecycle.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Basic knowledge of machine learning frameworks is a plus.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to explain technical concepts clearly.
- Ability to work independently, manage time effectively, and collaborate remotely.
- Eagerness to learn and adapt to new technologies and methodologies.
- Previous exposure to data science projects or coursework is beneficial.
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