Kenya presents opportunities for skilled 2,470 Data Scientist jobs in Kenya
Junior Data Scientist, Predictive Analytics
Posted 20 days ago
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Job Description
Our client, a cutting-edge analytics firm, is seeking enthusiastic and bright individuals for a Junior Data Scientist internship focused on Predictive Analytics. This is a fully remote internship, providing an invaluable learning experience and exposure to real-world data science challenges without geographical constraints. As a Junior Data Scientist, you will work closely with senior data scientists to develop, test, and deploy predictive models that drive business insights and decision-making. You will gain hands-on experience in data cleaning, feature engineering, model selection, validation, and interpretation. This internship is designed for candidates with a strong foundation in statistics, mathematics, and programming, who are eager to apply their skills in a practical, collaborative, and remote-first environment.
Internship Responsibilities:
Qualifications:
Internship 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 anomalies.
- Develop, train, and evaluate predictive models using statistical and machine learning techniques (e.g., regression, classification, clustering).
- Implement feature engineering techniques to improve model performance.
- Conduct A/B testing and validate model results rigorously.
- Contribute to the documentation of data analysis processes, model methodologies, and findings.
- Visualize data and model outputs to communicate insights effectively to technical and non-technical audiences.
- Stay updated with the latest research and advancements in data science and machine learning.
- Collaborate with team members in a virtual environment, participating actively in discussions and code reviews.
- Assist in deploying models into production environments under supervision.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong communication skills, with the ability to articulate technical concepts clearly.
- Self-motivated, detail-oriented, and able to work independently in a remote setting.
- Eagerness to learn and contribute to a dynamic team environment.
- Prior experience with SQL is a plus.
- A demonstrable passion for data science through personal projects or academic work.
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Graduate Data Scientist - Predictive Analytics
Posted 13 days ago
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Job Description
Our client is offering an exceptional opportunity for a bright and ambitious Graduate Data Scientist to join their cutting-edge data analytics team, working entirely remotely. This internship is designed for recent graduates with a strong foundation in statistics, mathematics, computer science, or a related quantitative field. You will gain hands-on experience in building and deploying machine learning models, analyzing large datasets, and extracting actionable insights to drive business decisions. Key responsibilities include data cleaning, feature engineering, model development, validation, and deployment. You will work closely with senior data scientists and business analysts to understand project requirements and translate them into data-driven solutions. Opportunities to explore various modeling techniques, including regression, classification, clustering, and time-series analysis, will be available. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow) are essential. Familiarity with SQL and database management is also highly valued. The ability to interpret complex results and communicate them effectively to both technical and non-technical audiences is crucial. This role requires strong analytical thinking, problem-solving skills, and a passion for data. You must be a self-starter, able to work independently and manage your time effectively in a remote environment. This is a remarkable chance to kickstart your career in data science and contribute to impactful projects within the diverse industries served by our client, remotely supporting operations related to Naivasha, Nakuru, KE .
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Apprentice Data Scientist - Predictive Analytics
Posted 16 days ago
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Job Description
Our client is offering an exceptional opportunity for aspiring data scientists to join their dynamic team as an Apprentice Data Scientist. This fully remote apprenticeship is designed to provide comprehensive training and hands-on experience in the field of predictive analytics. You will work alongside experienced data scientists, learning to leverage machine learning algorithms and statistical modeling to derive actionable insights from complex datasets. This role is ideal for individuals with a strong foundational understanding of mathematics and statistics, a passion for problem-solving, and a keen interest in technology. You will be exposed to the entire data science lifecycle, from data cleaning and preprocessing to model development, evaluation, and deployment. The apprenticeship emphasizes continuous learning and development, with opportunities to work on real-world projects that impact business strategy. Success in this role will require a proactive attitude, excellent analytical skills, and the ability to communicate technical concepts effectively. The position is fully remote, fostering a collaborative and flexible work environment. The focus is on building practical skills and contributing to innovative data-driven solutions. You will gain exposure to various industry sectors, understanding how data science can drive efficiency and innovation.
Responsibilities:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support the development and implementation of machine learning models under the guidance of senior data scientists.
- Perform exploratory data analysis to identify trends and patterns.
- Contribute to the evaluation and validation of model performance.
- Assist in generating reports and visualizations to communicate findings to stakeholders.
- Learn and apply various data science tools and programming languages (e.g., Python, R, SQL).
- Participate in team meetings and contribute to project discussions.
- Stay updated with the latest developments in data science and machine learning.
- Document methodologies and processes clearly and concisely.
- Collaborate effectively with remote team members.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies.
- Basic knowledge of SQL is a plus.
This advertiser has chosen not to accept applicants from your region.
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Principal Data Scientist - Predictive Analytics
Posted today
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Job Description
Our client is seeking a visionary Principal Data Scientist with a strong background in predictive analytics to join their fully remote data science team. This position offers the unique opportunity to lead advanced analytical projects, drive data-driven decision-making, and mentor a team of talented data scientists. You will be instrumental in developing sophisticated models and algorithms to uncover insights, predict future trends, and optimize business strategies across various domains. The role requires a deep understanding of statistical modeling, machine learning, and big data technologies, coupled with exceptional problem-solving skills and the ability to communicate complex findings to both technical and non-technical audiences.
Key Responsibilities:
Qualifications:
This fully remote role provides a significant opportunity to make a strategic impact on business outcomes through cutting-edge data science. The target location for this role is **Machakos, Machakos, KE**, but the position is 100% remote.
Key Responsibilities:
- Lead the design, development, and implementation of advanced predictive models and machine learning algorithms.
- Analyze large, complex datasets to identify patterns, trends, and actionable insights.
- Develop and deploy statistical models for forecasting, risk assessment, customer segmentation, and other business applications.
- Collaborate with business stakeholders to define analytical requirements and translate them into data science solutions.
- Mentor and guide junior data scientists, fostering their technical and professional growth.
- Stay abreast of the latest research and advancements in data science, machine learning, and artificial intelligence.
- Evaluate and implement new data analysis tools and technologies.
- Communicate complex findings and recommendations clearly and concisely through visualizations and presentations.
- Ensure the quality, integrity, and ethical use of data throughout the analytical process.
- Develop strategies for data collection, cleaning, and preparation for modeling.
- Contribute to the overall data strategy and roadmap of the organization.
Qualifications:
- Ph.D. or Master's degree in Statistics, Computer Science, Mathematics, or a related quantitative field.
- 10+ years of experience in data science, with a strong focus on predictive modeling and machine learning.
- Demonstrated expertise in statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and experimental design.
- Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience working with large datasets and distributed computing frameworks (e.g., Spark).
- Strong SQL skills and experience with database systems.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Proven ability to lead projects and mentor junior team members.
- Exceptional communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Experience in financial modeling or risk management is a plus.
This fully remote role provides a significant opportunity to make a strategic impact on business outcomes through cutting-edge data science. The target location for this role is **Machakos, Machakos, KE**, but the position is 100% remote.
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Lead Data Scientist - Predictive Analytics
Posted 6 days ago
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Job Description
Our client is seeking a highly skilled and innovative Lead Data Scientist to drive advancements in predictive analytics. This is a fully remote position that requires a deep understanding of statistical modeling, machine learning algorithms, and data mining techniques. You will lead a team of data scientists, guiding them in developing and deploying sophisticated models that extract actionable insights from complex datasets. Your responsibilities will include identifying opportunities for predictive modeling, designing experiments, developing and validating models, and communicating findings to both technical and non-technical stakeholders. The ideal candidate will possess extensive experience in building and deploying predictive models for various business applications, such as customer churn prediction, demand forecasting, fraud detection, or risk assessment. Proficiency in programming languages like Python or R, along with experience in data manipulation libraries (Pandas, NumPy) and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch), is essential. You should have a strong grasp of statistical concepts, data visualization techniques, and experience with big data technologies (e.g., Spark, Hadoop). Excellent leadership, communication, and problem-solving skills are crucial for success in this collaborative remote role. You will play a pivotal role in shaping data-driven decision-making across the organization.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the development and deployment of predictive models and machine learning solutions.
- Identify business problems that can be solved using data science techniques.
- Design and conduct experiments to test hypotheses and validate models.
- Perform data cleaning, feature engineering, and data preprocessing.
- Develop, train, and evaluate machine learning algorithms.
- Collaborate with engineers to integrate models into production systems.
- Communicate complex findings and insights to stakeholders through visualizations and reports.
- Mentor and guide junior data scientists.
- Stay current with the latest advancements in data science and machine learning.
- Define and track key metrics for model performance and business impact.
Qualifications:
- Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of experience as a Data Scientist, with a focus on predictive analytics.
- Proven experience in developing and deploying machine learning models in production.
- Strong proficiency in Python or R, and relevant data science libraries.
- Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with SQL and NoSQL databases.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Excellent data visualization and communication skills.
- Strong analytical and problem-solving abilities.
- Demonstrated leadership experience and ability to mentor a team.
- Experience working in a remote-first environment.
This advertiser has chosen not to accept applicants from your region.
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Remote Junior Data Scientist - Predictive Analytics
Posted 20 days ago
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Job Description
Our client, a cutting-edge technology firm focused on leveraging data to drive business intelligence and strategic decision-making, is seeking an ambitious and technically adept Junior Data Scientist to join their fully remote analytics team. This role offers an exceptional opportunity for a recent graduate or early-career professional to gain hands-on experience in building and deploying predictive models, analyzing complex datasets, and contributing to data-driven insights. You will work closely with senior data scientists and business stakeholders, developing your skills in a collaborative and forward-thinking environment.
Responsibilities:
Qualifications:
This is an outstanding entry-level opportunity for motivated individuals passionate about data science to launch their careers in a fully remote setting. If you are eager to apply your academic knowledge to real-world challenges and contribute to innovative data solutions, we encourage you to apply.
Responsibilities:
- Assist in the development, implementation, and validation of machine learning models for predictive analytics.
- Clean, transform, and preprocess large, complex datasets to prepare them for analysis and modeling.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies within datasets.
- Support the design and execution of A/B tests and other experiments to evaluate model performance and business impact.
- Visualize data and model results using various tools and techniques to communicate findings effectively.
- Collaborate with senior data scientists to understand project requirements and contribute to the overall analytical approach.
- Document methodologies, code, and findings thoroughly to ensure reproducibility and knowledge sharing.
- Stay up-to-date with the latest advancements in data science, machine learning, and statistical modeling.
- Participate in team meetings and contribute to discussions on data strategy and analytical approaches.
- Assist in the deployment and monitoring of predictive models in production environments.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Strong foundational knowledge of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Familiarity with SQL for database querying.
- Excellent problem-solving skills and a keen analytical mindset.
- Strong communication skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently, manage time effectively, and contribute as part of a remote team.
- A genuine passion for data and a desire to learn and grow in the field of data science.
- Previous internship or project experience in data analysis or machine learning is a plus.
This is an outstanding entry-level opportunity for motivated individuals passionate about data science to launch their careers in a fully remote setting. If you are eager to apply your academic knowledge to real-world challenges and contribute to innovative data solutions, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
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Remote Data Scientist - Predictive Analytics
Posted 22 days ago
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Job Description
WhatJobs is seeking a highly skilled and innovative Remote Data Scientist to join our advanced analytics team. This is a fully remote position, allowing you to leverage your expertise in data modeling and statistical analysis from anywhere. You will be responsible for designing, developing, and deploying sophisticated predictive models to drive business insights and strategic decision-making. The ideal candidate will possess a strong foundation in machine learning, statistical modeling, and data manipulation, with a proven ability to communicate complex findings to diverse audiences in a remote setting.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, train, and evaluate machine learning models for various business applications, including forecasting, classification, and anomaly detection.
- Clean, transform, and prepare large datasets from multiple sources for analysis and modeling.
- Identify key business questions and translate them into data-driven analytical approaches.
- Design and implement A/B tests and other experimental designs to measure the impact of initiatives.
- Collaborate closely with product managers, engineers, and business stakeholders to understand data needs and deliver actionable insights.
- Visualize and communicate complex analytical findings and model results effectively to both technical and non-technical audiences.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
- Build and maintain data pipelines and automated reporting dashboards.
- Ensure the ethical and responsible use of data and models.
- Contribute to the development of the company's data strategy and best practices.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Minimum of 5 years of experience as a Data Scientist or in a similar analytical role.
- Proven experience in building and deploying predictive models using machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Proficiency in programming languages commonly used in data science, such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical concepts, experimental design, and data mining techniques.
- Experience with SQL and working with large databases.
- Excellent data visualization skills using tools like Matplotlib, Seaborn, Tableau, or Power BI.
- Strong communication, presentation, and interpersonal skills, essential for remote collaboration.
- Ability to work independently, manage time effectively, and deliver high-quality results.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
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Remote Lead Data Scientist - Predictive Analytics
Posted 23 days ago
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Job Description
Our client, a pioneering analytics firm dedicated to driving business growth through data intelligence, is seeking an accomplished Lead Data Scientist to spearhead our remote-first data science initiatives. This position offers the unparalleled flexibility to lead groundbreaking projects from anywhere in the world. You will be responsible for developing advanced predictive models, driving data-driven decision-making across various business functions, and mentoring a team of talented data scientists. Your insights will directly impact strategic planning and operational efficiency, leveraging sophisticated machine learning techniques and big data technologies.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the development and implementation of predictive models and machine learning algorithms to solve complex business problems.
- Design and execute advanced statistical analyses and experiments to extract actionable insights from large datasets.
- Collaborate with business stakeholders to understand their needs and translate them into data science projects.
- Mentor and guide junior data scientists, fostering best practices in modeling, validation, and deployment.
- Evaluate and select appropriate machine learning techniques, tools, and platforms.
- Develop and maintain robust data pipelines for model training and inference.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Stay abreast of the latest research and advancements in data science, machine learning, and artificial intelligence.
- Contribute to the development of data strategy and roadmap for the organization.
- Ensure the ethical and responsible use of data in all analytical endeavors.
- Collaborate with data engineers and software developers to deploy models into production environments.
Qualifications:
- Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 7 years of progressive experience in data science, with a strong track record in predictive modeling and machine learning.
- Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
- Proficiency in programming languages commonly used in data science, such as Python or R, and associated libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Experience with big data technologies (e.g., Spark, Hadoop) and database querying (SQL).
- Strong understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and leadership skills, with the ability to guide and inspire a remote team.
- Proven ability to manage complex data science projects from conception to completion.
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Senior Data Scientist - Predictive Analytics (Remote)
Posted 23 days ago
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Job Description
Our client, a visionary organization at the cutting edge of scientific research and development, is seeking a talented and experienced Senior Data Scientist to lead advanced analytics projects. This is a fully remote position, offering a unique opportunity to apply your expertise in predictive modeling and statistical analysis to complex scientific challenges. You will be instrumental in extracting actionable insights from vast datasets, driving innovation, and contributing to breakthroughs in areas such as bioinformatics, environmental modeling, and materials science.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement sophisticated predictive models and machine learning algorithms.
- Analyze large, complex datasets to identify trends, patterns, and insights relevant to scientific research objectives.
- Collaborate closely with research scientists, engineers, and domain experts to understand data needs and define analytical approaches.
- Develop data pipelines, clean and preprocess data, and ensure data quality and integrity.
- Evaluate and validate model performance, and iterate on models to improve accuracy and robustness.
- Communicate complex analytical findings and recommendations clearly and effectively to both technical and non-technical audiences.
- Stay current with the latest advancements in data science, machine learning, statistical modeling, and relevant scientific fields.
- Contribute to the development of data-driven decision-making processes and tools.
- Mentor junior data scientists and share knowledge within the team.
- Explore and integrate new data sources and analytical techniques.
- Develop visualizations and dashboards to effectively present data insights.
- Contribute to research proposals and publications when applicable.
- Ensure responsible and ethical use of data in all analytical endeavors.
- Document methodologies, code, and findings comprehensively.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 6 years of hands-on experience in data science, with a strong focus on predictive modeling and statistical analysis.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Extensive experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical concepts, hypothesis testing, and experimental design.
- Experience working with large datasets and distributed computing environments (e.g., Spark) is a plus.
- Familiarity with database technologies (SQL, NoSQL) and data warehousing concepts.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, vital for remote collaboration.
- Proven ability to work independently and manage projects effectively in a remote setting.
- Experience in scientific research or R&D environments is highly desirable.
- Knowledge of cloud platforms (AWS, Azure, GCP) for data science workloads.
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Remote Senior Data Scientist - Predictive Analytics
Posted 23 days ago
Job Viewed
Job Description
Our client, a cutting-edge research and development organization, is seeking a highly skilled and innovative Senior Data Scientist to lead projects focused on predictive analytics. This role is crucial for leveraging advanced statistical modeling, machine learning algorithms, and data mining techniques to extract actionable insights from complex datasets. You will be responsible for developing predictive models, identifying key trends, and providing strategic recommendations to drive research outcomes and innovation. The ideal candidate will possess a strong quantitative background, a deep understanding of statistical methodologies, and extensive experience in applying machine learning to solve real-world problems.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement sophisticated predictive models using machine learning algorithms and statistical techniques.
- Analyze large and complex datasets to identify patterns, trends, and correlations relevant to research objectives.
- Develop and validate models for forecasting, classification, regression, and anomaly detection.
- Work with stakeholders to understand business needs and translate them into data science problems.
- Clean, preprocess, and transform data to ensure its quality and suitability for modeling.
- Evaluate model performance and iterate on approaches to improve accuracy and effectiveness.
- Communicate complex findings and insights clearly and concisely through visualizations and reports to both technical and non-technical audiences.
- Collaborate with engineers to deploy models into production environments.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Mentor junior data scientists and contribute to the team's technical growth.
Qualifications:
- Ph.D. or Master's degree in Statistics, Computer Science, Mathematics, Physics, or a related quantitative field.
- Minimum of 7 years of experience in data science, with a strong focus on predictive modeling and machine learning.
- Proficiency in programming languages such as Python (with libraries like scikit-learn, TensorFlow, PyTorch, Pandas) or R.
- Extensive experience with various machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, gradient boosting, SVMs, neural networks).
- Strong understanding of statistical concepts, experimental design, and hypothesis testing.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI).
- Familiarity with big data technologies (e.g., Spark, Hadoop) and SQL.
- Excellent problem-solving skills and a passion for tackling challenging analytical problems.
- Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Experience in scientific research or R&D environments is a significant advantage.
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