953 Data Professionals jobs in Kenya
Senior Data Engineer
70100 Mlolongo, Eastern
KES150000 Annually
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Posted 2 days ago
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Job Description
Our client is seeking a highly experienced Senior Data Engineer to join their team on a contract basis, with the role being fully remote. You will be responsible for designing, building, and maintaining scalable and robust data pipelines and infrastructure that support the organization's data analytics and business intelligence needs. This role requires a deep understanding of data warehousing, ETL processes, big data technologies, and cloud platforms. The ideal candidate is a skilled architect who can transform raw data into actionable insights.
Responsibilities:
Qualifications:
This role is fully remote, allowing you to work from your preferred location. Our client is located in Mlolongo, Machakos, KE , and seeks a highly skilled contractor to support their data infrastructure needs.
Responsibilities:
- Design, develop, and maintain robust, scalable, and efficient data pipelines and ETL/ELT processes.
- Build and optimize data warehouses and data lakes for analytics and reporting.
- Implement data modeling strategies to ensure data integrity and accessibility.
- Work with cloud platforms (e.g., AWS, Azure, GCP) to build and manage data infrastructure.
- Develop and maintain data quality frameworks and monitoring systems.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Troubleshoot and resolve data-related issues in a timely manner.
- Optimize database performance and query efficiency.
- Implement and maintain data security and governance best practices.
- Stay up-to-date with emerging technologies in data engineering and big data.
- Automate data processes where possible.
- Contribute to architectural decisions regarding data infrastructure.
- Document data processes, pipelines, and architecture.
- Provide technical leadership and mentorship to junior team members.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.
- Minimum of 7 years of professional experience in data engineering or a related field.
- Proven experience designing and implementing large-scale data pipelines and data warehouses.
- Strong proficiency in SQL and experience with relational and NoSQL databases.
- Expertise in cloud data services (e.g., AWS S3, Redshift, Glue; Azure Data Factory, Synapse; GCP BigQuery, Dataflow).
- Experience with big data technologies (e.g., Spark, Hadoop, Kafka).
- Proficiency in at least one programming language commonly used in data engineering (e.g., Python, Scala, Java).
- Experience with ETL/ELT tools and concepts.
- Understanding of data modeling techniques (e.g., Kimball, Inmon).
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote, distributed team.
- Experience with data governance and security principles.
- Familiarity with containerization technologies like Docker is a plus.
This role is fully remote, allowing you to work from your preferred location. Our client is located in Mlolongo, Machakos, KE , and seeks a highly skilled contractor to support their data infrastructure needs.
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0
Senior Data Engineer - Big Data Specialist - Remote
60100 Garissa, North Eastern
KES480000 Annually
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Posted 2 days ago
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Our client, a cutting-edge data analytics firm that empowers businesses with actionable insights, is actively seeking a highly skilled Senior Data Engineer with a specialization in Big Data to join their completely remote team. This role is central to designing, building, and maintaining scalable and reliable data pipelines and infrastructure that support our organization's advanced analytics and machine learning initiatives. You will work with vast datasets, cutting-edge technologies, and collaborate with data scientists and analysts to ensure efficient data flow and accessibility. As a remote-first role, you will be empowered to contribute from your chosen location, utilizing state-of-the-art collaboration tools.
Responsibilities:
Qualifications:
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.
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1
Principal Data Scientist
30100 Moiben
KES2800000 Annually
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Our client is seeking a highly experienced and innovative Principal Data Scientist to lead advanced research and development projects. This role requires a deep understanding of statistical modeling, machine learning, and data mining techniques. You will be responsible for developing cutting-edge solutions to complex problems, driving data-informed decision-making, and mentoring junior members of the data science team. The position involves working with large, complex datasets, designing experiments, building predictive models, and communicating findings to both technical and non-technical stakeholders. Collaboration with engineers, product managers, and other scientists is crucial. The ideal candidate will have a strong academic background, a proven track record of successfully delivering data science projects, and expertise in various programming languages and data science platforms. A key aspect of this role will be to identify new opportunities for leveraging data to create value and enhance product offerings. You will be expected to stay at the forefront of data science advancements and contribute to the scientific community through publications or presentations.
Key Responsibilities:
This role is based in Eldoret, Uasin Gishu, KE . We are seeking a candidate with a Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field, with at least 8 years of relevant industry experience. Proven experience in leading significant data science projects, expertise in Python or R, and familiarity with big data technologies (e.g., Spark, Hadoop) are essential. Strong problem-solving skills, excellent communication abilities, and a passion for scientific discovery are required. The ability to work effectively in a collaborative, research-oriented environment is key.
Key Responsibilities:
- Lead the design and implementation of advanced statistical and machine learning models.
- Develop and deploy predictive models to solve complex business challenges.
- Analyze large and complex datasets to extract actionable insights and identify trends.
- Collaborate with engineering teams to integrate data science solutions into production systems.
- Mentor and guide junior data scientists, fostering a culture of learning and innovation.
- Communicate complex findings and recommendations clearly to diverse audiences.
- Identify new research areas and opportunities for data-driven innovation.
- Design and execute experiments to validate hypotheses and test model performance.
- Stay abreast of the latest advancements in artificial intelligence and machine learning.
- Contribute to the company's intellectual property and knowledge base.
This role is based in Eldoret, Uasin Gishu, KE . We are seeking a candidate with a Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field, with at least 8 years of relevant industry experience. Proven experience in leading significant data science projects, expertise in Python or R, and familiarity with big data technologies (e.g., Spark, Hadoop) are essential. Strong problem-solving skills, excellent communication abilities, and a passion for scientific discovery are required. The ability to work effectively in a collaborative, research-oriented environment is key.
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2
Junior Data Scientist
50700 Mumbuni
KES25000 Weekly
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Posted today
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Job Description
Our client is looking for an enthusiastic and driven Junior Data Scientist to join our innovative, fully remote data science team. This is an exceptional opportunity for a recent graduate or an individual early in their career to gain hands-on experience in a fast-paced, collaborative environment. You will be involved in the entire data science lifecycle, from data collection and cleaning to model development, evaluation, and deployment. Working under the guidance of senior data scientists, you will contribute to projects focused on extracting valuable insights from complex datasets to drive business decisions. This role requires a strong foundation in statistical analysis, machine learning algorithms, and programming skills, particularly in Python or R. You will be expected to develop predictive models, perform exploratory data analysis, and create insightful visualizations to communicate findings. We are committed to fostering a remote-first culture that encourages continuous learning and professional growth. You will have access to cutting-edge tools and technologies and the opportunity to work on challenging real-world problems. The ideal candidate is a curious and analytical individual with a passion for data and a keen eye for detail. Excellent communication skills are essential for collaborating with team members and presenting findings. You will be responsible for assisting in the design and execution of data experiments, contributing to the development of data pipelines, and ensuring the quality and integrity of data used in analysis. This internship provides a solid stepping stone for a career in data science, offering exposure to various industry applications and methodologies. Embrace the chance to learn, innovate, and contribute to impactful data-driven solutions from anywhere.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in data cleaning, pre-processing, and feature engineering.
- Develop and train machine learning models under supervision.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Create data visualizations to effectively communicate insights.
- Collaborate with senior data scientists on project tasks.
- Contribute to the documentation of data science processes and findings.
- Assist in A/B testing and experiment design.
- Stay updated with emerging data science techniques and tools.
- Support the maintenance and improvement of data pipelines.
- Participate in team meetings and knowledge-sharing sessions.
Qualifications:
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Proficiency in Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Solid understanding of statistical concepts and machine learning algorithms.
- Familiarity with SQL for data extraction and manipulation.
- Strong analytical and problem-solving abilities.
- Excellent communication and interpersonal skills for remote collaboration.
- Eagerness to learn and adapt in a dynamic environment.
This advertiser has chosen not to accept applicants from your region.
3
Junior Data Scientist
01001 Ruiru, Central
KES25000 month
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Job Description
Our client, a forward-thinking technology firm at the forefront of data-driven innovation, is excited to offer a remote-first Junior Data Scientist internship opportunity. This program is designed for highly motivated and intellectually curious individuals eager to gain practical experience in the field of data science. As a Junior Data Scientist Intern, you will collaborate with experienced data scientists and engineers on real-world projects, contributing to the analysis of complex datasets, the development of predictive models, and the extraction of actionable insights. This is an excellent chance to hone your skills in a supportive and challenging environment, learn cutting-edge techniques, and make a tangible impact.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in data collection, cleaning, and pre-processing from various sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Support the development and implementation of machine learning models under the guidance of senior team members.
- Conduct statistical analysis and hypothesis testing to validate findings.
- Create compelling data visualizations and reports to communicate insights to technical and non-technical stakeholders.
- Collaborate with cross-functional teams to understand data needs and contribute to data-driven solutions.
- Learn and apply new data science tools, algorithms, and methodologies.
- Participate in team meetings, brainstorming sessions, and project reviews.
- Document code, methodologies, and findings clearly and concisely.
- Contribute to the continuous improvement of data pipelines and analytical processes.
Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong foundation in statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Familiarity with data manipulation and querying techniques (SQL).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Eagerness to learn, adapt, and take on new challenges in a remote setting.
- Ability to work independently and as part of a virtual team.
- A genuine passion for data and uncovering insights.
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4
Senior Data Scientist
30100 Moiben
KES190000 Annually
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Job Description
Our client, a leading innovator in the tech industry, is seeking a highly skilled Senior Data Scientist to join their dynamic team. This role offers a hybrid work arrangement, allowing for a blend of remote flexibility and in-office collaboration at our **Eldoret, Uasin Gishu, KE** location. The ideal candidate will possess a deep understanding of statistical analysis, machine learning algorithms, and data mining techniques. You will be responsible for analyzing large datasets, identifying trends, and developing predictive models to drive business decisions and product innovation. This involves designing and implementing data-driven solutions, from data extraction and cleaning to model deployment and interpretation. Collaboration is key, as you will work closely with engineering, product management, and business intelligence teams to translate complex data into actionable insights. Responsibilities include developing and evaluating machine learning models, conducting A/B testing, and creating visualizations to communicate findings effectively. The successful candidate will have experience with programming languages such as Python or R, and proficiency in SQL and big data technologies (e.g., Spark, Hadoop). A strong understanding of data warehousing concepts and cloud platforms (AWS, Azure, GCP) is highly desirable. You will be expected to stay abreast of the latest advancements in data science and machine learning, and contribute to the continuous improvement of our data infrastructure and analytical capabilities. This role requires excellent analytical, problem-solving, and communication skills, with the ability to present complex findings to both technical and non-technical audiences. Join us in leveraging data to shape the future of our products and services.
Responsibilities:
Responsibilities:
- Analyze large, complex datasets to identify patterns and trends.
- Develop, train, and evaluate machine learning models.
- Design and implement data-driven solutions and predictive models.
- Collaborate with cross-functional teams to define data requirements and project goals.
- Create data visualizations and dashboards to communicate insights.
- Perform statistical analysis and A/B testing.
- Contribute to data infrastructure development and optimization.
- Stay current with advancements in data science and machine learning.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science or machine learning roles.
- Proficiency in Python or R, and SQL.
- Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical modeling and experimental design.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and communication skills.
- Experience with data visualization tools (e.g., Tableau, Power BI).
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5
Junior Data Scientist
01000 Witeithie
KES70000 Annually
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Posted today
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Job Description
Our client is excited to offer a challenging Junior Data Scientist internship, fully remote, providing an exceptional learning opportunity for aspiring data professionals. This internship is designed for enthusiastic individuals eager to apply their academic knowledge to real-world business problems. You will work under the guidance of experienced data scientists, contributing to data collection, cleaning, analysis, and visualization efforts. Responsibilities include assisting in the development of predictive models, identifying patterns and insights from large datasets, and preparing reports and presentations to communicate findings to stakeholders. You will gain hands-on experience with various data analysis tools and programming languages such as Python or R, and learn about machine learning algorithms and statistical techniques. This role requires a strong foundation in mathematics, statistics, and computer science principles. Excellent problem-solving skills, attention to detail, and a curious mindset are essential. You should be a proactive learner, comfortable working independently and collaboratively in a virtual environment. Proficiency in data manipulation libraries (e.g., Pandas, NumPy) and a basic understanding of SQL are advantageous. This internship offers a unique chance to immerse yourself in the field of data science, contribute to meaningful projects, and develop critical skills for a future career. A bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, with a strong academic record, is required. Candidates currently pursuing a Master's degree are also encouraged to apply. This remote internship provides a flexible and accessible way to kickstart your career in data science, working on exciting projects that will shape your professional development and provide invaluable industry experience.
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6
Graduate Data Scientist
40100 Kisumu
KES180000 Annually
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Job Description
Our client is seeking an ambitious and technically adept Graduate Data Scientist to join their cutting-edge remote team. This is an exceptional opportunity for a recent graduate to kickstart their career in data science, working on challenging and impactful projects. You will be mentored by experienced data scientists, contributing to data analysis, model development, and the extraction of actionable insights from complex datasets. Your responsibilities will include data cleaning, preprocessing, exploratory data analysis, and assisting in the development and validation of machine learning models. You will gain hands-on experience with various data science tools and programming languages, such as Python or R, and contribute to the development of data-driven solutions. The ideal candidate will possess a strong foundation in mathematics, statistics, and computer science, with a demonstrable passion for data. Familiarity with data visualization techniques and libraries is beneficial. Excellent analytical and problem-solving skills, combined with a keen eye for detail, are essential. As this is a remote position, you must be highly motivated, self-disciplined, and capable of working independently while effectively communicating with team members through virtual channels. You should be eager to learn, adapt quickly to new technologies, and contribute creatively to team objectives. This internship provides invaluable exposure to real-world data science challenges and offers a pathway to potential full-time employment within a leading organization. We are looking for bright minds eager to apply their academic knowledge to solve practical business problems and contribute to innovation in a dynamic, remote work environment.
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7
Senior Data Scientist
20100 Kisumu
KES175000 Annually
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Posted today
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Job Description
Our client, a rapidly growing data analytics firm, is seeking an exceptional Senior Data Scientist to join their innovative, fully remote team. This role is pivotal in leveraging advanced statistical techniques and machine learning algorithms to extract actionable insights from complex datasets, driving data-informed decision-making across the organization. As a Senior Data Scientist, you will be responsible for developing and implementing predictive models, performing advanced data analysis, and communicating findings to both technical and non-technical stakeholders. You will work on challenging problems in areas such as customer segmentation, anomaly detection, and forecasting. The ideal candidate possesses a strong foundation in statistics, machine learning, and programming (Python, R). Proficiency in data manipulation, visualization, and database technologies (SQL) is essential. You must have a proven track record of delivering impactful data science solutions and experience with big data technologies (e.g., Spark, Hadoop) is a significant advantage. This is an outstanding opportunity to contribute to cutting-edge data science initiatives within a collaborative and forward-thinking company, all while enjoying the flexibility of a fully remote position.
Responsibilities:
Responsibilities:
- Design, develop, and deploy machine learning models and statistical algorithms.
- Analyze large, complex datasets to identify trends, patterns, and insights.
- Clean, transform, and preprocess data to prepare it for analysis and modeling.
- Develop predictive models for forecasting, classification, and anomaly detection.
- Collaborate with stakeholders to understand business needs and translate them into data science problems.
- Communicate complex analytical findings and recommendations clearly through visualizations and reports.
- Evaluate and improve the performance and scalability of data science solutions.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
- Mentor junior data scientists and contribute to the team's knowledge base.
- Ensure data quality and integrity throughout the analytical process.
- Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in data science, machine learning, or statistical modeling.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong knowledge of statistical concepts and machine learning algorithms.
- Experience with SQL and relational databases.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and manage projects in a remote setting.
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8
Data Scientist - Junior
30100 Moiben
KES50000 month
WhatJobs
Posted today
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Job Description
Our client is excited to offer a fully remote Junior Data Scientist internship opportunity for ambitious individuals eager to gain hands-on experience in the field. This internship is designed to provide exposure to real-world data challenges and the application of data science techniques. Under the guidance of experienced data scientists, you will assist in collecting, cleaning, and transforming large datasets for analysis. You will support the development and implementation of statistical models, machine learning algorithms, and data visualizations to extract meaningful insights. Responsibilities may include performing exploratory data analysis (EDA), contributing to feature engineering, and assisting in the evaluation of model performance. You will also help in preparing reports and presentations summarizing findings and recommendations. Familiarity with programming languages commonly used in data science, such as Python or R, and their relevant libraries (e.g., Pandas, NumPy, Scikit-learn) is required. A foundational understanding of statistical concepts and machine learning principles is essential. This is a fully remote position, requiring strong self-motivation, eagerness to learn, and excellent communication skills. You must be able to work independently, manage your time effectively, and actively participate in virtual team meetings and discussions. Candidates should be currently pursuing or have recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. A strong academic record and a genuine passion for data analysis and problem-solving are key. This internship provides an excellent stepping stone for individuals looking to launch a career in data science, offering valuable practical experience and mentorship within a supportive, remote work environment.
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