358 Data Scientists jobs in Kenya
Senior Data Engineer - Big Data Specialist - Remote
Posted 1 day ago
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Job Description
Responsibilities:
- Design, construct, install, test, and maintain highly scalable data management systems and pipelines.
- Develop and optimize ETL/ELT processes for large-scale data.
- Build and manage data lakes, data warehouses, and other big data storage solutions.
- Ensure data quality, integrity, and security across all data platforms.
- Implement and manage data processing frameworks such as Spark, Hadoop, and Flink.
- Collaborate closely with data scientists, analysts, and application developers to understand data needs and deliver solutions.
- Monitor system performance, troubleshoot data-related issues, and implement performance tuning.
- Develop data models that support business intelligence and machine learning applications.
- Automate data workflows and processes using scripting and orchestration tools.
- Evaluate and recommend new big data technologies and methodologies.
- Document data architecture, processes, and systems.
- Contribute to the continuous improvement of data engineering best practices.
- Ensure compliance with data governance policies and regulations.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Minimum of 6 years of experience in data engineering, with a strong focus on big data technologies.
- Proficiency in programming languages such as Python, Java, or Scala.
- Hands-on experience with distributed computing frameworks like Apache Spark, Hadoop, or similar.
- Experience designing and implementing data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
- Strong understanding of data modeling, database design, and SQL.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Experience with workflow management tools like Apache Airflow.
- Knowledge of NoSQL databases (e.g., MongoDB, Cassandra) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication skills, with the ability to explain complex technical concepts clearly.
- Ability to work effectively in a collaborative, remote team environment.
- Experience with real-time data streaming technologies (e.g., Kafka) is desirable.
Graduate Trainee - Data Analysis
Posted 1 day ago
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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.
Remote Geologist - Data Analysis
Posted 1 day ago
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Job Description
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.
Graduate Trainee - Data Analysis
Posted 2 days ago
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Job Description
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.
Remote Agronomist - Data Analysis
Posted 4 days ago
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Graduate Trainee - Data Analysis
Posted 4 days ago
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Graduate Trainee - Data Analysis
Posted 4 days ago
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Job Description
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.
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Remote Trainee - Data Analysis
Posted 5 days ago
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Job Description
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.
Geophysicist, Remote Data Analysis
Posted 5 days ago
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Job Description
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.
Graduate Trainee - Data Analysis
Posted 5 days ago
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