9 Junior Data Scientist Machine Learning jobs in whatjobs
Junior Data Scientist - Machine Learning
Posted 20 days ago
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Job Description
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support the development, training, and evaluation of machine learning models.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Collaborate with senior data scientists on feature engineering and model selection.
- Help in visualizing data and model results for clear communication.
- Participate in code reviews and contribute to the development of robust data pipelines.
- Learn and apply statistical methods and machine learning algorithms.
- Assist in documenting project methodologies, findings, and model performance.
- Stay updated on emerging trends and techniques in data science and machine learning.
- Contribute to team discussions and problem-solving sessions.
- Gain practical experience with cloud platforms and big data technologies.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Basic understanding of SQL and database querying.
- Familiarity with data visualization tools and techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Eagerness to learn and adapt in a fast-paced, remote environment.
- Ability to work independently and manage time effectively.
- Prior project experience or internships in data analysis or machine learning is a plus.
Junior Data Scientist - Machine Learning
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets for machine learning model development.
- Support the development and implementation of machine learning algorithms under the guidance of senior data scientists.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights within datasets.
- Help build, train, and evaluate various machine learning models (e.g., classification, regression, clustering).
- Contribute to the feature engineering process to improve model performance.
- Assist in documenting code, methodologies, and findings from data analysis and model development.
- Collaborate with team members to troubleshoot issues and brainstorm solutions.
- Stay up-to-date with the latest research and advancements in machine learning and data science.
- Participate in team meetings and contribute ideas for new projects and approaches.
- Assist in creating visualizations to communicate findings and model results effectively.
- Gain practical experience with data science tools and platforms.
- Learn and apply best practices in data management and model deployment.
- Support A/B testing and performance monitoring of deployed models.
- Engage in a continuous learning environment to develop expertise in AI and ML.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Foundational understanding of machine learning concepts and algorithms.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
- Basic knowledge of SQL for data retrieval and manipulation.
- Strong analytical and problem-solving skills.
- Eagerness to learn and adapt to new technologies and challenges.
- Good communication and collaboration skills, with the ability to work effectively in a remote team.
- A passion for data and its potential to drive innovation.
- Previous personal projects or coursework demonstrating an interest in data science or machine learning is a plus.
Junior Data Scientist - Machine Learning
Posted 20 days ago
Job Viewed
Job Description
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of machine learning concepts and algorithms.
- Proficiency in Python or R for data analysis and machine learning.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Basic knowledge of data visualization tools and techniques.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and develop new skills in data science and machine learning.
- Understanding of database concepts is a plus.
Junior Data Scientist (Machine Learning)
Posted 11 days ago
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Job Description
Junior Data Scientist - Machine Learning
Posted 19 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Support senior data scientists in building, training, and evaluating machine learning models.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
- Help develop visualizations and reports to communicate findings to stakeholders.
- Contribute to the documentation of data pipelines, models, and experimental results.
- Learn and apply statistical techniques and algorithms relevant to business problems.
- Collaborate with team members in a remote setting, actively participating in team meetings and discussions.
- Research and implement new data science techniques as guided by mentors.
- Gain exposure to various data science tools and platforms.
- Assist in testing and validating the performance of predictive models.
Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Foundational understanding of statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools.
- Basic knowledge of SQL for database querying.
- Strong analytical and problem-solving skills.
- Excellent communication skills, with the ability to articulate technical concepts.
- Self-motivated and eager to learn in a remote, collaborative environment.
- Ability to work independently and manage assigned tasks effectively.
- Enthusiasm for data and its potential to drive business value.
This internship provides an exceptional platform to launch your career in data science, offering invaluable practical experience, mentorship, and exposure to cutting-edge technologies in a fully remote setting. We are committed to fostering your growth and development.
Junior Data Scientist - Machine Learning
Posted 19 days ago
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Job Description
Junior Data Scientist - Machine Learning
Posted 19 days ago
Job Viewed
Job Description
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Junior Data Scientist, Machine Learning
Posted 17 days ago
Job Viewed
Job Description
Responsibilities:
- Assist senior data scientists in developing and implementing machine learning models for various business problems.
- Collect, clean, and preprocess large datasets to prepare them for analysis and model training.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
- Contribute to the feature engineering process to enhance model performance.
- Support the evaluation and validation of machine learning models using appropriate metrics.
- Collaborate with cross-functional teams to understand data requirements and project objectives.
- Develop visualizations and reports to communicate findings and model performance to stakeholders.
- Stay updated on the latest advancements in machine learning and data science techniques.
- Participate in code reviews and contribute to the team's knowledge base.
- Assist in the documentation of data models, methodologies, and results.
- Gain hands-on experience with various data science tools and programming languages.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong foundational knowledge of machine learning algorithms (e.g., regression, classification, clustering).
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Basic understanding of database management and SQL.
- Excellent analytical and problem-solving skills.
- Strong communication skills, with the ability to explain technical concepts clearly.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently and as part of a remote team.
- Prior project experience (academic or personal) involving data analysis or machine learning is a plus.
Junior Data Scientist - Machine Learning
Posted 17 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets.
- Perform exploratory data analysis to identify trends and patterns.
- Develop and implement machine learning models under guidance.
- Evaluate model performance and iterate on solutions.
- Create visualizations to communicate data insights effectively.
- Collaborate with team members on data science projects.
- Stay up-to-date with emerging data science techniques and technologies.
- Document code, methodologies, and findings.
- Support the deployment of models into production environments.
- Contribute to team discussions and brainstorming sessions.
This fully remote internship offers a unique chance to launch your career in data science with a forward-thinking company. You will gain invaluable practical experience and mentorship in a supportive and dynamic virtual environment. We are seeking curious, proactive individuals who are eager to learn and contribute. Excellent communication and teamwork skills are essential. This role is ideal for recent graduates or students nearing completion of their degrees who are located in or have connections to regions like Ongata Rongai, Kajiado, KE , and are seeking to apply their academic knowledge in a practical setting.