2,518 Junior Data Scientist Predictive Analytics jobs in Kenya
Junior Data Scientist - Predictive Analytics
Posted 20 days ago
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Job Description
Join a forward-thinking organization as a Junior Data Scientist, focusing on predictive analytics within our fully remote team. This is an exceptional opportunity for recent graduates with a strong foundation in statistics, machine learning, and data manipulation to launch their careers. You will work closely with senior data scientists and business stakeholders to extract, clean, and analyze large datasets, build predictive models, and translate complex findings into actionable business insights. The role emphasizes learning and development, providing exposure to diverse projects and cutting-edge technologies in a supportive virtual environment.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in the collection, cleaning, and pre-processing of large and complex datasets from various sources.
- Develop and implement statistical models and machine learning algorithms for predictive analysis, classification, and clustering.
- Perform exploratory data analysis to identify trends, patterns, and correlations.
- Collaborate with senior data scientists to validate model performance and refine analytical approaches.
- Create data visualizations and reports to communicate findings effectively to both technical and non-technical audiences.
- Contribute to the development of data-driven solutions that address business challenges and opportunities.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
- Participate in code reviews and contribute to the maintenance of robust data science pipelines.
- Assist in the documentation of data sources, methodologies, and model results.
- Engage in continuous learning and skill development through online courses, workshops, and team knowledge sharing sessions.
- Work collaboratively with a remote team, ensuring clear communication and project alignment.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a closely related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering, time series analysis).
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn, Plotly).
- Familiarity with SQL for database querying.
- Strong analytical and problem-solving skills with meticulous attention to detail.
- Excellent communication and collaboration skills, especially in a remote team setting.
- Self-motivated, eager to learn, and capable of working independently.
- A portfolio of data science projects (e.g., GitHub repository) is highly desirable.
- Must have reliable internet connectivity and a suitable remote work environment.
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Graduate Data Scientist - Predictive Analytics
Posted 10 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 13 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.
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Lead Data Scientist - Predictive Analytics
Posted 3 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.
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Remote Junior Data Scientist - Predictive Analytics
Posted 17 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.
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Remote Data Scientist - Predictive Analytics
Posted 19 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.
This advertiser has chosen not to accept applicants from your region.
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Remote Lead Data Scientist - Predictive Analytics
Posted 20 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 20 days ago
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Job Description
Our client, a pioneering research and development organization, is seeking a highly accomplished Senior Data Scientist specializing in Predictive Analytics to join their innovative, fully remote research division. This role is instrumental in developing and deploying advanced machine learning models to forecast trends, identify patterns, and drive strategic insights from complex datasets. The ideal candidate will possess a strong foundation in statistics, machine learning algorithms, and data mining techniques, coupled with extensive experience in applying these skills to real-world research challenges. Key responsibilities include designing and implementing predictive models, performing rigorous data analysis and validation, developing robust data pipelines, and collaborating with cross-functional research teams to translate analytical findings into actionable recommendations. You will be responsible for data exploration, feature engineering, model selection, training, evaluation, and deployment. This position demands exceptional analytical and programming skills (Python, R, SQL), proficiency with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch), and experience with big data technologies. Excellent communication skills are essential for presenting complex findings to both technical and non-technical audiences in a clear and compelling manner. We are looking for an independent, results-oriented individual with a passion for scientific discovery and a proven ability to work effectively in a remote, collaborative environment. This is a unique opportunity to contribute to cutting-edge research and make a significant impact on future developments within a forward-thinking organization, all while enjoying the flexibility of remote work. The scientific research and development focus of this role, though remote, is conceptually linked to the industrial and research landscape of **Thika, Kiambu, KE**.
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7
Remote Senior Data Scientist - Predictive Analytics
Posted 20 days ago
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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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Senior Sports Data Scientist - Predictive Analytics
Posted 20 days ago
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Job Description
Our client, a premier sports analytics firm, is looking for a talented Senior Sports Data Scientist with a specialization in predictive modeling to join their innovative remote team. In this role, you will be at the forefront of developing advanced analytical models that provide actionable insights into athlete performance, game strategies, and competitive outcomes across various sports. Your primary responsibility will be to design, implement, and deploy sophisticated machine learning algorithms and statistical models that drive critical decision-making for our clients. This includes forecasting player performance, identifying optimal team compositions, and predicting game results with high accuracy. You will work with large, complex datasets, transforming raw data into meaningful insights through advanced statistical analysis and data visualization. Essential qualifications include a strong command of Python or R for data analysis and modeling, experience with SQL, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). A deep understanding of statistical concepts, regression analysis, time series forecasting, and classification techniques is crucial. The ability to translate complex analytical findings into clear, concise, and compelling narratives for both technical and non-technical audiences is vital. You should be comfortable leading data science projects, mentoring junior analysts, and collaborating effectively within a fully remote, globally distributed team. We seek an individual with a proven passion for sports and a robust background in applying data science methodologies to solve real-world problems in the sports domain. A Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field, with a minimum of 5 years of relevant industry experience, is required. This is an exceptional opportunity to leverage your data science expertise to impact athletic performance and strategy from a remote setting.
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