8 Database Management jobs in Kenya
Lead Research Scientist - Remote Data Analysis & Modeling
70100 Abothuguchi West
KES280000 Annually
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Posted 2 days ago
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Job Description
Our client, a cutting-edge research and development organization, is seeking an accomplished Lead Research Scientist for a fully remote position. This role is pivotal in driving scientific discovery through advanced data analysis, computational modeling, and virtual collaboration. You will lead research projects, develop innovative methodologies, and interpret complex datasets to generate actionable insights. Key responsibilities include designing research protocols, conducting in-depth statistical analysis, building predictive models, and validating research findings. You will work with large, diverse datasets using advanced analytical software and programming languages (e.g., Python, R, MATLAB). Collaboration with a global team of scientists, engineers, and data analysts via virtual platforms will be essential. The ideal candidate possesses a Ph.D. in a relevant scientific discipline, a strong publication record, and extensive experience in data-driven research. Exceptional analytical, critical thinking, and problem-solving skills are paramount. You must be a motivated self-starter, capable of leading research initiatives independently, managing project timelines, and communicating complex scientific concepts effectively to diverse audiences remotely. Experience in a specific field relevant to our client's current research initiatives (e.g., AI, biotechnology, environmental science) is highly desirable. This position offers a unique opportunity to contribute to groundbreaking research from anywhere in the world, supporting our client's objectives impacting the **Garissa, Garissa, KE** region and beyond, all within a fully remote work structure. We are looking for a visionary scientist who is passionate about pushing the boundaries of knowledge and excels in a remote research environment. If you are a leading scientist ready for a challenging and impactful remote role, we encourage you to apply.
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0
Senior Research Scientist - Remote Data Analysis & Modeling
20100 Mwembe
KES155000 Annually
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Posted 2 days ago
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Our client is seeking a highly analytical and experienced Senior Research Scientist with expertise in data analysis and modeling to join their pioneering, fully remote research team. This role is ideal for an individual passionate about extracting insights from complex datasets and applying them to solve challenging scientific problems. You will be responsible for developing advanced analytical models, performing statistical analysis, and interpreting findings to drive research outcomes across various scientific disciplines. The ideal candidate possesses a strong foundation in statistical methodologies, machine learning, and programming, combined with a proven ability to conduct independent research and communicate findings effectively. As a remote-first professional, you will leverage sophisticated digital tools to collaborate with research partners, analyze data, and contribute to groundbreaking discoveries. Key responsibilities include designing data collection strategies, developing predictive models, validating analytical approaches, and presenting research results to both technical and non-technical audiences. This position demands exceptional quantitative skills, creativity, and a proactive approach to problem-solving. You will be instrumental in advancing scientific understanding and innovation, all while enjoying the flexibility and autonomy of remote work. Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms.
- Analyze large, complex datasets to identify trends, patterns, and insights.
- Design and conduct rigorous scientific research studies.
- Validate analytical models and methodologies.
- Interpret research findings and translate them into actionable recommendations.
- Collaborate with researchers and scientists across different disciplines through virtual platforms.
- Communicate research results effectively through reports, presentations, and publications.
- Stay current with the latest advancements in data science, statistical modeling, and relevant scientific fields.
- Mentor junior researchers and contribute to the team's analytical capabilities.
- Contribute to the development of new research methodologies and tools.
- Ph.D. or Master's degree in Statistics, Data Science, Computer Science, Physics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in data analysis, statistical modeling, and scientific research.
- Proven expertise in programming languages such as Python, R, or MATLAB.
- Strong understanding of statistical principles, machine learning techniques, and experimental design.
- Experience with big data technologies and cloud computing platforms is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional written and verbal communication skills for technical reporting and presentation.
- Ability to work independently and manage multiple research projects in a remote setting.
- Demonstrated experience in collaborating effectively within a remote team environment.
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1
Senior Data Scientist - Financial Modeling
00100 Abothuguchi West
KES180000 Annually
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Posted 2 days ago
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Our client is seeking a highly analytical and innovative Senior Data Scientist with expertise in financial modeling to join their fully remote analytics division. This is a unique opportunity to leverage advanced statistical techniques and machine learning algorithms to develop sophisticated financial models that drive strategic decision-making and optimize financial performance. You will be at the forefront of analyzing vast datasets, identifying key trends, and building predictive models for forecasting, risk assessment, and investment strategies. The ideal candidate will possess a deep understanding of financial markets, accounting principles, and quantitative finance, coupled with strong programming skills in Python or R, and proficiency in data manipulation and visualization tools. You will work collaboratively with finance, product, and engineering teams, translating complex business challenges into data-driven solutions. As a remote-first team member, you will utilize advanced collaboration platforms to ensure seamless communication and project execution. Your responsibilities will include designing and implementing robust statistical models, conducting A/B testing, validating model performance, and communicating findings and recommendations to both technical and non-technical stakeholders. You will also play a key role in mentoring junior data scientists and contributing to the overall data science strategy. A passion for uncovering insights from data, a rigorous scientific approach, and the ability to thrive in a remote, fast-paced environment are essential. If you are driven by a desire to solve complex financial problems through data and contribute to a globally recognized organization from the comfort of your home office, this role is for you. The successful candidate will be instrumental in shaping our client's financial future through insightful data analysis and predictive modeling.
Key Responsibilities:
Key Responsibilities:
- Develop, validate, and deploy advanced statistical and machine learning models for financial forecasting, risk management, and portfolio optimization.
- Perform complex data analysis on large, multi-dimensional datasets to identify key performance drivers and actionable insights.
- Design and implement robust financial models that support strategic planning and decision-making.
- Collaborate with cross-functional teams (finance, product, engineering) to define project requirements and deliver data-driven solutions.
- Communicate complex analytical findings and recommendations effectively to diverse audiences, including senior leadership.
- Develop data visualizations and reports to illustrate model performance and business impact.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and technical excellence.
- Stay abreast of the latest advancements in data science, machine learning, and financial modeling techniques.
- Contribute to the development and refinement of the company's data science infrastructure and best practices.
- Master's or Ph.D. in Data Science, Statistics, Economics, Finance, Computer Science, or a related quantitative field.
- Minimum of 5 years of professional experience in data science, with a strong focus on financial modeling.
- Proven expertise in Python or R, including relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and working with relational databases.
- Solid understanding of financial markets, investment principles, and statistical modeling.
- Demonstrated experience in building and deploying predictive models in a production environment.
- Excellent communication, presentation, and interpersonal skills for remote collaboration.
- Strong problem-solving abilities and a results-oriented mindset.
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2
Senior Data Scientist - Predictive Modeling
90123 Gathiruini
KES300000 Annually
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Posted 2 days ago
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Our client is looking for a highly analytical and innovative Senior Data Scientist to join their remote research and development team. This role is crucial for advancing our client's capabilities in predictive modeling and data-driven insights. You will be responsible for designing, developing, and deploying sophisticated machine learning models to solve complex business problems. The ideal candidate will possess a strong foundation in statistical analysis, machine learning algorithms, and programming, coupled with a passion for scientific discovery and innovation. Key Responsibilities:
- Design, develop, and implement advanced machine learning models for predictive analytics, forecasting, and anomaly detection.
- Collaborate with stakeholders across various departments to identify business challenges and opportunities for data science solutions.
- Perform data exploration, cleaning, and feature engineering on large, complex datasets.
- Select appropriate algorithms and statistical methods to address specific research questions and business objectives.
- Validate model performance, interpret results, and communicate findings effectively to both technical and non-technical audiences.
- Develop and maintain robust data pipelines for model training and deployment.
- Stay abreast of the latest research and advancements in data science, machine learning, and artificial intelligence.
- Contribute to the development of scalable data science infrastructure and tools.
- Mentor junior data scientists and contribute to the growth of the data science community within the organization.
- Document methodologies, code, and results thoroughly.
- Present research findings and recommendations to senior leadership and cross-functional teams.
- Identify new data sources and methodologies to enhance predictive capabilities.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 5 years of experience in data science, with a strong focus on predictive modeling and machine learning.
- Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
- Extensive experience with statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and validation techniques.
- Experience working with large datasets and distributed computing frameworks (e.g., Spark) is desirable.
- Strong understanding of data structures, algorithms, and software development best practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Ability to work independently and collaboratively in a remote research environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
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3
Senior Data Scientist - Financial Modeling
20200 Mwembe
KES400000 Annually
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Posted 2 days ago
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Our client, a prominent financial institution, is seeking a highly skilled Senior Data Scientist with expertise in financial modeling to join their analytics team. This role offers a hybrid work arrangement, combining remote flexibility with occasional in-office collaboration. You will play a pivotal role in developing, validating, and implementing sophisticated quantitative models for various financial applications, including risk management, fraud detection, investment strategies, and credit scoring. Responsibilities include designing and executing complex statistical analyses, building predictive models using machine learning techniques, and interpreting model outputs to provide actionable insights to business stakeholders. You will work with large, complex datasets, leverage advanced statistical and programming tools, and ensure the accuracy, reliability, and regulatory compliance of all developed models. The ideal candidate possesses a Master's or Ph.D. in a quantitative field such as Finance, Economics, Statistics, Mathematics, or Computer Science, coupled with at least 5 years of experience in quantitative finance or data science within the financial services industry. Strong proficiency in Python or R, SQL, and experience with machine learning libraries and financial modeling software is essential. You must have a deep understanding of financial markets, financial instruments, and regulatory frameworks. Excellent communication and presentation skills are required to effectively convey complex findings to both technical and non-technical audiences. This is an excellent opportunity to contribute to critical financial decisions and drive innovation within a leading financial organization.
Responsibilities:
Responsibilities:
- Develop, validate, and implement quantitative models for financial risk, fraud detection, and investment analytics.
- Build and deploy machine learning models to predict financial outcomes and identify trends.
- Perform in-depth statistical analysis on large financial datasets.
- Clean, preprocess, and transform data for modeling purposes.
- Interpret model results and communicate key insights to business leaders.
- Ensure model accuracy, robustness, and compliance with regulatory requirements.
- Collaborate with cross-functional teams, including risk management, product development, and IT.
- Stay current with advancements in data science, machine learning, and financial modeling techniques.
- Develop and maintain model documentation and testing procedures.
- Optimize existing models for performance and efficiency.
- Mentor junior data scientists and analysts.
- Master's or Ph.D. in Finance, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field.
- 5+ years of experience in quantitative finance, data science, or statistical modeling within the financial services sector.
- Strong proficiency in Python or R, and SQL.
- Experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and statistical modeling techniques.
- Deep understanding of financial markets, instruments, and regulatory environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience with big data technologies is a plus.
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4
Senior Data Scientist - Climate Modeling
30100 Abothuguchi West
KES920000 Annually
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Posted 3 days ago
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Job Description
Our client, a leading institution in scientific research, is seeking a highly accomplished Senior Data Scientist with expertise in climate modeling to join their team. This role offers a hybrid work arrangement, combining the benefits of remote flexibility with essential in-office collaboration. You will play a crucial role in developing, implementing, and validating advanced statistical and machine learning models to analyze complex climate data, predict future climate patterns, and assess environmental impacts. The ideal candidate will possess a strong background in data science, computational science, environmental science, or a related field, coupled with significant experience in climate modeling or atmospheric science. Responsibilities include collecting, cleaning, and processing large datasets from various sources, designing and executing sophisticated analytical experiments, and interpreting model outputs to provide actionable insights for policy-makers and researchers. You will collaborate with a multidisciplinary team of scientists, researchers, and engineers to advance climate research and develop innovative solutions for environmental challenges. This position requires excellent programming skills, particularly in Python or R, and experience with big data technologies and cloud platforms. A key aspect of the role involves communicating complex scientific findings clearly and effectively to both technical and non-technical audiences. The ability to work independently on research projects while also contributing to team-based initiatives is essential. We are looking for a curious and innovative individual with a passion for understanding and addressing climate change through rigorous scientific inquiry.
Responsibilities:
Responsibilities:
- Develop and implement advanced data models for climate analysis and prediction.
- Analyze large-scale climate datasets using statistical and machine learning techniques.
- Validate model performance and interpret results for scientific insights.
- Collaborate with researchers on climate change impact assessments.
- Design and execute computational experiments related to climate dynamics.
- Process and manage diverse environmental data sources.
- Develop visualizations and reports to communicate findings effectively.
- Contribute to scientific publications and presentations.
- Stay abreast of the latest advancements in climate science and data analytics.
- Mentor junior data scientists and research assistants.
- Work with cloud computing platforms for large-scale data processing.
- Ph.D. or Master's degree in Data Science, Environmental Science, Atmospheric Science, Computer Science, or a related quantitative field.
- Minimum of 7 years of experience in data science, with a significant focus on climate modeling, environmental data analysis, or atmospheric research.
- Proven expertise in statistical modeling, machine learning, and predictive analytics.
- Strong programming skills in Python or R, with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Familiarity with climate models (e.g., GCMs, RCMs) and relevant data formats (e.g., NetCDF).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex information clearly.
- Ability to work effectively in a hybrid environment, balancing remote and in-office tasks.
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5
Junior Data Analyst - Predictive Modeling
30100 Tuwan
KES30000 Monthly
WhatJobs
Posted 3 days ago
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Job Description
Our client is excited to offer a challenging Junior Data Analyst internship, focusing on predictive modeling and data-driven insights. This is a fully remote, entry-level opportunity designed for ambitious recent graduates eager to launch their careers in data science. As a Junior Data Analyst, you will work closely with senior data scientists and analysts, contributing to projects that involve data collection, cleaning, analysis, and visualization. You will assist in building and validating predictive models, identifying trends, and generating reports that support strategic decision-making. The role requires a strong foundation in statistical concepts, proficiency in SQL, and familiarity with programming languages such as Python or R. Experience with data visualization tools like Tableau or Power BI is a plus. You will be responsible for extracting and manipulating large datasets, performing exploratory data analysis, and communicating your findings effectively. This internship provides hands-on experience in a dynamic, fast-paced environment, allowing you to develop critical skills in data analysis and machine learning. Collaboration with team members and a willingness to learn are essential. You will be given the opportunity to contribute to real-world business problems, gaining invaluable practical experience. The ideal candidate is a motivated self-starter with a keen analytical mind and a passion for uncovering insights from data. Attention to detail and strong problem-solving abilities are key. This internship is a fantastic stepping stone for anyone aspiring to a career in data science or analytics. This is a remote position, enabling you to gain professional experience from anywhere. Although the role is nominally associated with **Eldoret, Uasin Gishu, KE**, it is a fully remote internship. We are looking for enthusiastic individuals ready to make a significant impact and learn from experienced professionals.
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6
Lead Data Scientist - Risk Modeling
30500 Tuwan
KES200000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client is seeking a highly accomplished and forward-thinking Lead Data Scientist to spearhead their risk modeling initiatives within the insurance sector. This is a fully remote position, allowing talented professionals to contribute their expertise from anywhere in the world. The successful candidate will be responsible for designing, developing, and deploying advanced statistical and machine learning models to assess and mitigate various insurance risks, including underwriting, claims, and financial risks. You will lead a team of data scientists, mentor junior members, and collaborate closely with actuarial, underwriting, and claims departments to integrate data-driven insights into strategic decision-making. This role requires a deep understanding of statistical modeling, predictive analytics, machine learning algorithms, and their application in the insurance domain. Expertise in Python, R, SQL, and experience with big data technologies (e.g., Spark, Hadoop) are essential. The ideal candidate will possess strong problem-solving skills, a meticulous attention to detail, and the ability to communicate complex technical findings to non-technical stakeholders effectively. A proven track record of successfully delivering data science projects from conception to production is crucial. As a remote-first role, expect a highly collaborative virtual environment that fosters innovation and continuous learning. You will be instrumental in shaping our client's risk management strategies, driving efficiency, and enhancing profitability through sophisticated data analysis. This position offers significant opportunities for professional growth and impact within a leading insurance organization. The **Kitale, Trans-Nzoia, KE** location tag is for classification purposes only, as the role is entirely remote.
Responsibilities:
Responsibilities:
- Lead the development and implementation of advanced statistical and machine learning models for risk assessment and prediction in the insurance industry.
- Design and build robust data pipelines for model training and deployment, ensuring data quality and integrity.
- Collaborate with actuaries, underwriters, and claims professionals to identify key risk drivers and develop relevant modeling approaches.
- Mentor and guide a team of data scientists, fostering a culture of technical excellence and continuous learning.
- Present complex analytical findings and model results to senior management and business stakeholders in a clear and concise manner.
- Stay current with the latest advancements in data science, machine learning, and risk management techniques.
- Develop and maintain documentation for models, algorithms, and data processes.
- Evaluate and implement new tools and technologies to enhance the data science capabilities.
- Contribute to the strategic direction of data science initiatives within the organization.
- Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 8 years of experience in data science, with a significant focus on risk modeling in the insurance or financial services industry.
- Proven experience in leading data science teams and managing complex projects.
- Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, time series, deep learning), and experimental design.
- Proficiency in programming languages such as Python or R, and database querying with SQL.
- Experience with big data platforms (e.g., Spark, Hadoop) and cloud environments (e.g., AWS, Azure).
- Strong understanding of insurance products, regulations, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and interpersonal skills for effective stakeholder engagement.
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