Explore exciting Data Scientist jobs in 17 Data Scientist 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
Graduate Data Scientist - Machine Learning
80200 Nairobi, Nairobi
KES80000 month
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Posted 1 day ago
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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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2
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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3
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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4
Senior Data Scientist, AI/ML
80200 Nairobi, Nairobi
KES950000 Annually
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Posted 2 days ago
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Job Description
Our client, a cutting-edge company at the forefront of innovation in the wellness technology sector, is seeking an exceptional Senior Data Scientist specializing in AI/ML to join their dynamic, fully remote team. This role is critical for driving product innovation and delivering advanced insights through the application of sophisticated machine learning models and data analysis techniques. You will be responsible for leading the design, development, and deployment of AI-driven features that enhance user experience and optimize service delivery. This is an opportunity to shape the future of personalized wellness.
Responsibilities:
Qualifications:
This fully remote position offers an exciting opportunity to apply cutting-edge AI/ML techniques to revolutionize the wellness industry. Work from anywhere and be part of a forward-thinking company. The **job location** for this role is within the **Malindi, Kilifi, KE** region, however, all work will be conducted remotely.
Responsibilities:
- Design, develop, and implement machine learning models and algorithms to solve complex business problems in areas such as prediction, classification, recommendation, and natural language processing.
- Conduct exploratory data analysis to uncover trends, patterns, and insights from large, complex datasets.
- Clean, transform, and prepare data for modeling, ensuring data quality and integrity.
- Build and deploy scalable ML pipelines for training, evaluation, and inference in cloud environments (e.g., AWS SageMaker, Azure ML, GCP AI Platform).
- Collaborate closely with product managers, engineers, and other stakeholders to understand business requirements and translate them into data science solutions.
- Evaluate model performance, conduct A/B testing, and iterate on models to improve accuracy and effectiveness.
- Stay current with the latest advancements in AI, machine learning, deep learning, and data science research.
- Communicate complex findings and insights clearly and concisely to both technical and non-technical audiences through reports, visualizations, and presentations.
- Mentor junior data scientists and contribute to the team's technical growth.
- Contribute to the development of data strategies and best practices within the organization.
- Ensure ethical considerations and bias mitigation are integrated into ML development processes.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 6 years of professional experience in data science, with a strong focus on applied machine learning and AI.
- Proven expertise in developing and deploying ML models using frameworks such as TensorFlow, PyTorch, scikit-learn, or XGBoost.
- Proficiency in programming languages like Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Strong experience with SQL and working with large datasets in distributed computing environments (e.g., Spark).
- Familiarity with cloud platforms and ML services (AWS, Azure, GCP).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong understanding of statistical modeling, experimental design, and data visualization techniques.
- Exceptional communication and presentation skills, with the ability to convey technical information effectively.
- Demonstrated ability to work independently and collaboratively in a fully remote, fast-paced environment.
- Experience in the beauty or wellness industry is a plus.
This fully remote position offers an exciting opportunity to apply cutting-edge AI/ML techniques to revolutionize the wellness industry. Work from anywhere and be part of a forward-thinking company. The **job location** for this role is within the **Malindi, Kilifi, KE** region, however, all work will be conducted remotely.
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5
Remote Senior Data Scientist - Genomics
80201 Nairobi, Nairobi
KES250000 Annually
WhatJobs
Posted 3 days ago
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Our client is at the forefront of scientific innovation and is seeking an exceptional Remote Senior Data Scientist specializing in Genomics to join their pioneering research team. This fully remote position offers the opportunity to work on groundbreaking projects that are shaping the future of personalized medicine and biological understanding. You will be instrumental in developing and implementing advanced computational and statistical methodologies to analyze large-scale genomic datasets, including whole-genome sequencing, exome sequencing, and RNA-Seq data. Your insights will drive discoveries in areas such as disease susceptibility, drug response, and population genetics. Responsibilities include designing analytical pipelines, building predictive models, interpreting complex genomic variations, and collaborating closely with biologists, bioinformaticians, and clinicians across the globe. The ideal candidate will possess a strong foundation in computer science, statistics, and bioinformatics, coupled with extensive experience in handling and analyzing diverse genomic data types. You must be proficient in programming languages such as Python or R, and adept at utilizing various bioinformatics tools and databases. This is a remote-first role, requiring excellent self-management, communication, and collaboration skills. We are looking for a curious, analytical, and detail-oriented individual who is passionate about translating complex biological data into actionable scientific knowledge. A Master's or PhD in a quantitative field like Computer Science, Statistics, Bioinformatics, Computational Biology, or a related discipline is required, along with a minimum of 5 years of relevant experience in data science, with a significant focus on genomics.
Responsibilities:
Responsibilities:
- Develop and maintain scalable computational pipelines for analyzing large-scale genomic data.
- Apply advanced statistical and machine learning techniques to identify patterns and associations in genomic datasets.
- Collaborate with research teams to design experiments and interpret results in the context of biological questions.
- Build predictive models for disease risk, drug efficacy, and other biological endpoints.
- Visualize and communicate complex findings to both technical and non-technical audiences.
- Contribute to the development of new algorithms and analytical methods.
- Stay current with the latest advancements in genomics, bioinformatics, and data science.
- Mentor junior data scientists and contribute to team knowledge sharing.
- MSc or PhD in Computer Science, Statistics, Bioinformatics, Computational Biology, or a related quantitative field.
- 5+ years of hands-on experience in data science, with a specialization in genomics.
- Proficiency in Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, Biopython).
- Strong understanding of genomic data formats (e.g., VCF, BAM, FASTQ) and analysis tools (e.g., GATK, Samtools).
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills for a remote environment.
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6
Junior Data Scientist (Graduate Program, Remote)
80100 Nairobi, Nairobi
KES70000 month
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Posted 1 day ago
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Job Description
Our client, a cutting-edge analytics firm, is launching an exciting Graduate Program for aspiring Junior Data Scientists. This fully remote opportunity is designed for recent graduates eager to immerse themselves in the world of data science and machine learning. You will receive comprehensive training, work on real-world projects, and gain invaluable experience under the guidance of experienced data scientists. The program focuses on developing your skills in data cleaning, feature engineering, model building, and data visualization. You will learn to extract insights from complex datasets, build predictive models, and contribute to data-driven decision-making processes for our diverse clientele. This is a unique chance to build a strong foundation in data science, contribute to impactful projects, and launch your career from the convenience of your home.
Program Focus:
Program Focus:
- Hands-on training in Python or R for data analysis and machine learning.
- Learning and applying various machine learning algorithms (e.g., regression, classification, clustering).
- Developing skills in data preprocessing, cleaning, and feature engineering.
- Gaining experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
- Understanding of database management and SQL.
- Exposure to cloud platforms for data science workflows.
- Working on capstone projects with real-world datasets.
- Mentorship from senior data scientists and analytics professionals.
- Collaboration with cross-functional teams to understand business problems.
- Development of strong problem-solving and analytical skills.
- Recent graduate with a degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Solid understanding of statistical concepts and mathematical principles.
- Proficiency in at least one programming language, preferably Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Excellent analytical and problem-solving abilities.
- A strong desire to learn and grow in the field of data science.
- Effective communication and teamwork skills, essential for remote collaboration.
- Enthusiasm for uncovering insights from data.
- Previous internship experience or personal data science projects are advantageous.
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7
Senior Bioinformatics Scientist, Genomics Data Analysis
80100 Nairobi, Nairobi
KES320000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client is a cutting-edge life sciences research institution seeking a highly accomplished Senior Bioinformatics Scientist to lead complex genomics data analysis projects. This fully remote position offers an exciting opportunity to contribute to groundbreaking scientific discoveries using advanced computational tools and methodologies. You will be responsible for designing and implementing bioinformatics pipelines, analyzing large-scale genomic datasets (e.g., WGS, WES, RNA-Seq), and interpreting results to support research objectives. Key responsibilities include developing novel algorithms, establishing data quality control procedures, and visualizing complex biological data. The ideal candidate will possess a deep understanding of molecular biology, genetics, and statistical genomics, coupled with strong programming skills in languages such as Python, R, and Perl. Experience with high-performance computing environments and cloud platforms (AWS, GCP, Azure) is essential. You will collaborate closely with biologists, clinicians, and other researchers, providing expertise in data analysis and interpretation. This role demands exceptional analytical and problem-solving skills, with the ability to identify and address complex bioinformatics challenges. Strong communication and presentation skills are crucial for disseminating research findings to both scientific and non-scientific audiences. A proven track record in publishing peer-reviewed articles and contributing to grant proposals is highly desirable. You will also be involved in mentoring junior scientists and contributing to the development of bioinformatics infrastructure. This position offers a unique opportunity to make a significant impact on scientific advancement within a dynamic, remote-first research environment. Your passion for data-driven discovery and commitment to scientific rigor will be key to your success.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for genomics data analysis.
- Analyze large-scale genomic datasets, including whole genome, exome, and RNA sequencing data.
- Perform statistical analysis and interpretation of biological data.
- Develop and apply machine learning algorithms for biological insights.
- Ensure data quality control and integrity throughout the analysis process.
- Collaborate with experimental biologists and clinicians on research projects.
- Visualize complex biological data for effective communication of results.
- Contribute to the development of new analytical methods and tools.
- Mentor junior bioinformaticians and research staff.
- Prepare manuscripts for publication and present findings at scientific conferences.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 5 years of post-doctoral or industry experience in bioinformatics.
- Extensive experience with genomics data analysis (WGS, WES, RNA-Seq).
- Proficiency in programming languages such as Python, R, and Perl.
- Strong understanding of statistical methods and machine learning in biology.
- Experience with high-performance computing (HPC) and cloud environments.
- Knowledge of molecular biology and genetics principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills.
- Ability to work independently and lead research initiatives in a remote setting.
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8
Machine Learning Engineer
80200 Nairobi, Nairobi
KES400000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking a skilled Machine Learning Engineer to join their innovative team, focusing on AI and emerging technologies. This role is designed for an individual passionate about developing and deploying cutting-edge machine learning models to solve complex real-world problems. You will be involved in the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. The position requires a strong foundation in algorithms, statistical modeling, and programming, with a deep understanding of ML frameworks and libraries. You will collaborate with data scientists, software engineers, and domain experts to translate business needs into actionable ML solutions. This role offers a unique opportunity to work on challenging projects that push the boundaries of AI, contributing to the development of intelligent systems. The hybrid work model allows for both focused remote work and in-person collaboration.
Responsibilities:
Qualifications:
This hybrid role, with a client presence in Malindi, Kilifi, KE , offers a competitive salary and the chance to work at the forefront of AI innovation.
Responsibilities:
- Design, build, and maintain scalable machine learning models and algorithms.
- Develop and implement data preprocessing pipelines and feature engineering techniques.
- Train, evaluate, and fine-tune ML models using various frameworks and tools.
- Deploy ML models into production environments and monitor their performance.
- Collaborate with data scientists and software engineers to integrate ML solutions into products and services.
- Conduct research on new ML techniques and technologies to identify potential applications.
- Analyze large datasets to extract insights and inform model development.
- Optimize model performance for accuracy, efficiency, and scalability.
- Develop and maintain documentation for ML models and processes.
- Stay current with advancements in the field of AI and machine learning.
- Troubleshoot and resolve issues related to ML model performance in production.
- Present findings and technical details to stakeholders.
Qualifications:
- Master's or PhD in Computer Science, Data Science, Statistics, or a related quantitative field.
- 3+ years of hands-on experience in machine learning engineering or data science with a focus on model development and deployment.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
- Experience with data manipulation and analysis tools (e.g., Pandas, Spark).
- Strong understanding of various ML algorithms, including supervised, unsupervised, and deep learning.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Familiarity with MLOps principles and tools.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with containerization technologies like Docker is a plus.
- Ability to work effectively in both remote and on-site settings as required.
This hybrid role, with a client presence in Malindi, Kilifi, KE , offers a competitive salary and the chance to work at the forefront of AI innovation.
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