2,853 Lead Data Scientist Machine Learning Applications jobs in Kenya
Lead Data Scientist, Machine Learning Applications
Posted 4 days ago
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Job Description
Our client is a fast-paced tech company looking for a Lead Data Scientist to drive the development and implementation of advanced machine learning models. This is a fully remote position, empowering you to work from anywhere and make a significant impact. The role involves leading a team of data scientists, architecting ML solutions, and deploying models into production systems. The ideal candidate will have a strong background in statistical modeling, machine learning algorithms, and scalable data infrastructure.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of machine learning models to solve complex business problems.
- Architect scalable and robust ML pipelines for data ingestion, feature engineering, model training, and evaluation.
- Collaborate with engineering and product teams to integrate ML solutions into existing products and services.
- Mentor and guide junior data scientists, fostering a culture of innovation and technical excellence.
- Stay current with the latest research and advancements in machine learning, artificial intelligence, and data science.
- Develop and implement best practices for model monitoring, validation, and continuous improvement.
- Communicate complex technical findings and recommendations to non-technical stakeholders.
- Evaluate and select appropriate ML algorithms and tools for specific project needs.
- Manage project timelines, resources, and deliverables for data science initiatives.
- Contribute to the company's data strategy and technical roadmap.
- Ensure the ethical and responsible use of data and AI technologies.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in data science and machine learning, with at least 2 years in a leadership role.
- Expertise in Python, R, and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of various ML algorithms, including deep learning, NLP, and computer vision.
- Experience in deploying ML models into production environments and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Proven ability to lead and mentor a team in a remote setting.
- Experience with agile development methodologies.
- Published research or contributions to open-source ML projects is a plus.
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Remote Lead Data Scientist - Machine Learning Applications
Posted 2 days ago
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Job Description
Our client, an innovative data analytics firm, is seeking a Lead Data Scientist to spearhead their machine learning initiatives. This is a fully remote position, offering significant flexibility. The ideal candidate will have a passion for uncovering insights from complex datasets and building sophisticated predictive models that drive business decisions. You will lead a team of data scientists, guide research and development efforts, and collaborate with product and engineering teams to deploy ML solutions into production. This role demands a strong theoretical foundation in machine learning, practical experience in applying ML techniques to real-world problems, and excellent leadership and communication skills for a remote setting.
Key Responsibilities:
Key Responsibilities:
- Leading the development and deployment of machine learning models for various business applications, such as customer segmentation, fraud detection, and predictive maintenance.
- Designing and implementing advanced statistical and machine learning algorithms.
- Collaborating with stakeholders to define project requirements and translate business problems into data science solutions.
- Mentoring and guiding junior data scientists, fostering a culture of innovation and continuous learning.
- Performing in-depth data analysis, feature engineering, and model evaluation.
- Staying abreast of the latest advancements in AI, machine learning, and data science.
- Communicating complex technical findings and insights to both technical and non-technical audiences.
- Ensuring the ethical and responsible use of data and AI models.
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1
Graduate Data Analyst - Machine Learning Specialization
Posted 12 days ago
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Job Description
Our client, a forward-thinking technology firm, is excited to offer a unique Graduate Data Analyst internship with a specialization in Machine Learning. This is a fully remote opportunity, providing invaluable experience to ambitious graduates eager to launch their careers in data science and AI. You will work closely with senior data scientists and engineers, contributing to real-world projects that leverage machine learning to solve complex business challenges. This internship is designed to provide comprehensive exposure to the data analysis lifecycle, from data collection and cleaning to model development, evaluation, and deployment. You will gain hands-on experience with cutting-edge tools and methodologies, developing a strong foundation in data-driven decision-making.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development and implementation of machine learning models under the guidance of senior team members.
- Conduct literature reviews on relevant machine learning techniques and algorithms.
- Assist in the evaluation and validation of model performance.
- Develop data visualizations and reports to communicate findings to the team.
- Collaborate with team members on data-related tasks and projects.
- Learn and apply statistical methods and machine learning algorithms.
- Participate in team meetings and contribute to discussions on project progress and strategy.
- Gain practical experience with programming languages like Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong foundation in statistical concepts and data analysis principles.
- Basic understanding of machine learning concepts and algorithms.
- Proficiency in at least one programming language, preferably Python.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Good communication and interpersonal skills, with the ability to work effectively in a remote team environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine interest in data science, machine learning, and artificial intelligence.
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Graduate Data Analyst, Machine Learning Focus
Posted 13 days ago
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Job Description
Our client is offering an exceptional opportunity for enthusiastic graduates to join their pioneering team as Graduate Data Analysts, with a specialization in Machine Learning. This is a fully remote internship designed to provide hands-on experience in a cutting-edge field. You will work closely with senior data scientists and engineers, contributing to real-world projects that involve developing and deploying machine learning models. Your responsibilities will include data cleaning, preprocessing, exploratory data analysis, feature engineering, and assisting in the training and evaluation of machine learning algorithms. This role requires a strong quantitative background, a passion for data, and a foundational understanding of statistical concepts and programming languages like Python or R. You will gain invaluable exposure to the entire data science lifecycle in a supportive and collaborative remote environment. We are looking for bright, curious minds eager to learn and apply their academic knowledge to solve challenging business problems. This internship is an excellent springboard for a career in data science or machine learning.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets for analysis and model building.
- Perform exploratory data analysis to uncover trends, patterns, and insights.
- Support the development and implementation of machine learning models under guidance.
- Conduct feature engineering and selection to improve model performance.
- Help evaluate model accuracy and performance metrics.
- Document data analysis processes, methodologies, and findings.
- Collaborate with team members on various data science projects.
- Learn and apply new techniques and tools in data analysis and machine learning.
- Assist in the preparation of reports and visualizations to communicate insights.
- Contribute to a positive and productive remote team environment.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Basic understanding of database concepts and SQL.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies.
- A portfolio of personal projects or contributions to open-source projects is a plus.
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3
Graduate Analyst - Data Science
Posted 22 days ago
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Job Description
Our client is looking for ambitious and bright individuals to join their prestigious Graduate Analyst program focused on Data Science, operating entirely remotely. This internship provides an exceptional opportunity for recent graduates to immerse themselves in the world of data analytics, machine learning, and business intelligence. You will work alongside experienced data scientists, contributing to real-world projects, gaining hands-on experience with cutting-edge tools and techniques, and developing a strong foundation in data-driven decision-making. Responsibilities include data cleaning and preparation, exploratory data analysis, assisting in the development of predictive models, and visualizing data to communicate insights. This is a fully remote position, allowing you to learn and grow from anywhere. We are seeking candidates with a strong quantitative aptitude and a passion for uncovering insights from data.
Key Responsibilities:
Qualifications:
This internship is based in Embu, Embu, KE , but is a fully remote position.
Key Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Support the development and testing of machine learning models and algorithms under supervision.
- Create compelling data visualizations and dashboards to communicate findings to stakeholders.
- Contribute to the documentation of data processes, methodologies, and code.
- Collaborate with senior data scientists and analysts on ongoing projects.
- Learn and apply statistical concepts and data mining techniques.
- Participate in team meetings and contribute ideas for data-driven solutions.
- Assist in preparing reports and presentations summarizing analytical results.
- Develop proficiency in data analysis tools and programming languages relevant to data science.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical techniques.
- Basic knowledge of programming languages commonly used in data science (e.g., Python, R).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and ability to work with large datasets.
- Good communication and interpersonal skills, with the ability to work effectively in a remote team.
- Eagerness to learn and a proactive attitude.
- Ability to manage tasks and time effectively.
- Passion for data and uncovering insights.
This internship is based in Embu, Embu, KE , but is a fully remote position.
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Graduate Data Analyst - AI & Machine Learning
Posted 1 day ago
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Job Description
Our client is looking for enthusiastic and bright Graduate Data Analysts to join their pioneering AI & Machine Learning team in a fully remote, internship capacity. This is an exceptional opportunity for recent graduates to gain hands-on experience in the exciting fields of data science, artificial intelligence, and machine learning. You will work closely with experienced data scientists and engineers, contributing to real-world projects that involve data cleaning, feature engineering, model development, and performance evaluation. The ideal candidate will possess a strong foundation in statistics, mathematics, and programming, with a keen interest in developing skills in Python or R, and machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch. You will be involved in extracting insights from large datasets, building predictive models, and assisting in the deployment of AI solutions. As a remote intern, you will benefit from a flexible work environment and access to online learning resources, with regular virtual mentorship sessions and team meetings to ensure guidance and integration. We are seeking individuals who are highly curious, eager to learn, and possess excellent analytical and problem-solving abilities. The ability to communicate technical findings clearly, both verbally and in writing, is also essential. This internship provides a stepping stone for a career in data science and AI, offering exposure to cutting-edge technologies and a supportive learning environment. You will have the chance to apply theoretical knowledge to practical challenges and contribute to innovative projects that are shaping the future of technology. This role is perfect for driven individuals looking to kickstart their career in a rapidly evolving industry.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets.
- Perform exploratory data analysis (EDA) to identify patterns and trends.
- Develop and train machine learning models under guidance.
- Evaluate model performance and provide insights for improvement.
- Assist in feature engineering and selection for predictive models.
- Collaborate with senior data scientists on various AI/ML projects.
- Document methodologies, findings, and results of analyses.
- Learn and apply new data science and machine learning techniques.
- Participate in team meetings and contribute to discussions.
- Support in the visualization of data and model outcomes.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (recent graduates welcome).
- Solid understanding of statistical concepts and their application.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with machine learning concepts and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for AI and machine learning.
- A proactive and curious mindset.
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5
Graduate Analyst - Data Science (Remote)
Posted 6 days ago
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Job Description
Our client is offering an exciting opportunity for ambitious and bright Graduates to join their cutting-edge Data Science team as Graduate Analysts, working remotely. This internship is designed for individuals passionate about leveraging data to drive insights and innovation, with a focus on projects relevant to **Nyeri, Nyeri, KE**, and national-level data challenges. You will work closely with experienced data scientists, gaining hands-on experience in data cleaning, analysis, visualization, and model development. The ideal candidate will possess a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. Proficiency in programming languages like Python or R, and familiarity with data analysis libraries (e.g., Pandas, NumPy, Scikit-learn) are essential. You should have a solid understanding of statistical concepts and machine learning algorithms. Responsibilities include assisting with data collection and preparation, performing exploratory data analysis, contributing to the development of predictive models, and generating reports and presentations to communicate findings. We are looking for curious, detail-oriented individuals with excellent problem-solving abilities and a strong desire to learn. This fully remote internship provides invaluable real-world experience in data science, allowing you to develop practical skills and contribute to meaningful projects. Join a forward-thinking organization committed to data-driven decision-making and technological advancement. This is an excellent platform to launch your career in the dynamic field of data science.
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6
Remote Junior Graduate Analyst - Data Science
Posted 6 days ago
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Job Description
Our client is seeking bright and enthusiastic Junior Graduate Analysts to join their innovative data science team. This is a fully remote internship opportunity, providing invaluable hands-on experience in data analysis, interpretation, and modeling. The ideal candidate is a recent graduate with a strong academic background in a quantitative field, a passion for data, and a keen analytical mind. You will work closely with senior data scientists and analysts, contributing to real-world projects and learning cutting-edge techniques in a supportive virtual environment.
Key Responsibilities:
Key Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Support the development and implementation of statistical models and machine learning algorithms under guidance.
- Create visualizations and reports to communicate findings to technical and non-technical audiences remotely.
- Collaborate with team members on data-related tasks and projects.
- Learn and apply new data analysis tools and techniques.
- Assist in documenting methodologies, processes, and results.
- Participate in virtual team meetings and contribute to discussions.
- Identify opportunities for data-driven improvements within projects.
- Contribute to maintaining data quality and integrity.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and data analysis principles.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Basic understanding of machine learning concepts and algorithms is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and commitment to data accuracy.
- Good written and verbal communication skills, suitable for remote interaction.
- Ability to work independently, manage time effectively, and learn quickly.
- Proactive attitude and eagerness to contribute to team objectives.
- Familiarity with data visualization tools is an advantage.
This advertiser has chosen not to accept applicants from your region.
7
Remote Graduate Data Analyst - AI & Machine Learning Focus
Posted 6 days ago
Job Viewed
Job Description
Our client is seeking ambitious and intellectually curious Graduate Data Analysts to join their cutting-edge, fully remote program focused on Artificial Intelligence and Machine Learning. This is an exceptional opportunity for recent graduates to gain hands-on experience with real-world data challenges, working alongside experienced data scientists and engineers. You will be instrumental in collecting, cleaning, analyzing, and interpreting large datasets to uncover insights, build predictive models, and contribute to the development of innovative AI solutions.
Responsibilities:
Qualifications:
This paid internship offers invaluable experience in a rapidly growing field, providing mentorship and real project involvement. The role is fully remote, supporting our strategic interests in the Meru, Meru, KE region.
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and implement basic machine learning models under the guidance of senior team members.
- Visualize data and model results using tools such as Python libraries (Matplotlib, Seaborn) or Tableau.
- Collaborate with data scientists and engineers on feature engineering and model selection.
- Document methodologies, findings, and code for reproducibility and knowledge sharing.
- Participate in regular team meetings and contribute to project discussions.
- Learn and apply new data analysis techniques and tools relevant to AI/ML.
- Assist in the testing and validation of AI/ML models.
- Contribute to the overall data strategy and innovation efforts.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis techniques.
- Basic programming skills in Python or R, including experience with relevant data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with machine learning concepts and algorithms is highly desirable.
- Exposure to data visualization tools.
- Strong analytical and problem-solving abilities.
- Excellent communication and teamwork skills, essential for remote collaboration.
- Proactive attitude and eagerness to learn and take on new challenges.
- Self-motivated and able to manage tasks effectively in a remote environment.
- A genuine interest in AI and Machine Learning.
This paid internship offers invaluable experience in a rapidly growing field, providing mentorship and real project involvement. The role is fully remote, supporting our strategic interests in the Meru, Meru, KE region.
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8
Lead Sports Performance Analyst - Data Science
Posted 17 days ago
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Job Description
Our client, a cutting-edge organization at the intersection of sports, technology, and data science, is looking for a Lead Sports Performance Analyst to join our fully remote team. This pivotal role involves leveraging advanced data analytics and performance metrics to enhance athletic performance, tactical strategy, and player development across various sports disciplines. You will be responsible for collecting, cleaning, and analyzing vast datasets from training, competition, and biomechanical sources to derive actionable insights. As a remote-first company, we empower our analysts to work from anywhere, collaborating seamlessly with coaches, athletes, and management through sophisticated digital platforms. The ideal candidate will possess a strong background in data science, sports science, and a passion for quantitative analysis in athletic contexts. Your ability to translate complex data into clear, concise recommendations will be key to driving strategic decision-making and achieving competitive advantages.
Key Responsibilities:
Key Responsibilities:
- Design and implement data collection protocols for athlete performance, training load, and physiological data.
- Utilize statistical modeling and machine learning techniques to analyze performance data and identify trends.
- Develop predictive models for injury risk, performance outcomes, and strategic planning.
- Create visually compelling dashboards and reports to communicate key findings to coaches, athletes, and stakeholders.
- Collaborate closely with coaching staff to integrate performance insights into training programs and game strategies.
- Stay abreast of the latest research and technological advancements in sports science, performance analysis, and data analytics.
- Manage and maintain performance databases, ensuring data integrity and security.
- Mentor junior performance analysts and contribute to the team's overall technical expertise.
- Evaluate the effectiveness of different training methodologies and interventions through data analysis.
- Contribute to the development of innovative performance monitoring tools and techniques.
- Master's degree or Ph.D. in Sports Science, Biomechanics, Data Science, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in sports performance analysis, with a proven track record in elite sports environments.
- Expertise in statistical analysis software (e.g., R, Python with libraries like Pandas, NumPy, SciPy) and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of biomechanics, exercise physiology, and sports-specific training principles.
- Experience with wearable technology and motion capture systems is highly desirable.
- Excellent analytical, critical thinking, and problem-solving skills.
- Exceptional communication and presentation skills, with the ability to translate complex data into actionable insights for non-technical audiences.
- Demonstrated ability to lead projects and collaborate effectively within a remote team setting.
- Experience working with diverse sports disciplines is an advantage.
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