12 Junior Data Scientist Graduate Program Remote jobs in whatjobs
Junior Data Scientist - Graduate Program - Remote
Posted 22 days ago
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Program Highlights:
- Structured training curriculum covering statistical analysis, machine learning, and programming languages (Python/R).
- Participation in real-world data science projects with direct business impact.
- Mentorship from experienced data scientists and team leads.
- Exposure to various industries and business challenges.
- Development of skills in data cleaning, feature engineering, model building, and evaluation.
- Opportunity to work with advanced analytical tools and cloud platforms.
- Collaboration with cross-functional teams in a virtual environment.
- Clear path for career progression within the data science domain.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, 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 commonly used in data science (Python or R).
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Previous internship or project experience in data analysis or related fields is a plus.
- Must be eligible to work in the specified country for the duration of the internship.
Junior Data Scientist - Graduate Program - Remote
Posted 22 days ago
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Job Description
- Assisting in the collection, cleaning, and preprocessing of large datasets from various sources.
- Performing exploratory data analysis to identify trends, patterns, and anomalies.
- Developing and implementing statistical models and machine learning algorithms under guidance.
- Contributing to the creation of data visualizations and reports to communicate findings effectively.
- Collaborating with senior data scientists and engineers on project tasks.
- Learning and applying new data science techniques, tools, and methodologies.
- Participating in code reviews and contributing to the improvement of data science workflows.
- Documenting methodologies, processes, and results accurately.
- Engaging in continuous learning and professional development within the data science field.
- Troubleshooting data-related issues and assisting in problem-solving.
Junior Data Scientist - Graduate Program (Remote)
Posted 15 days ago
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Junior Data Scientist - Graduate Program (Remote)
Posted 15 days ago
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Job Description
Program Highlights:
- Intensive Training: Participate in structured workshops and online courses covering essential data science concepts, statistical methods, and machine learning algorithms.
- Real-world Projects: Apply your learned skills to challenging projects that address business needs across various departments.
- Mentorship: Receive guidance and support from experienced data scientists who will help you navigate your learning journey and career development.
- Collaborative Environment: Work with a cohort of fellow graduates and experienced professionals in a fully remote, team-oriented setting.
- Skill Development: Gain practical experience in data cleaning, feature engineering, model building, validation, and deployment.
- Exposure to Tools: Become proficient in industry-standard tools and languages such as Python, R, SQL, and various data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Assist in collecting, cleaning, and pre-processing large datasets from various sources.
- Perform exploratory data analysis to uncover trends, patterns, and insights.
- Develop and implement basic machine learning models under the guidance of senior team members.
- Evaluate model performance and iterate on solutions to improve accuracy and efficiency.
- Visualize data and model results to communicate findings effectively.
- Document methodologies, code, and project progress clearly and concisely.
- Collaborate with team members on shared projects and contribute to team discussions.
- Stay curious and proactive in learning new data science techniques and technologies.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong foundational knowledge of statistics, probability, and linear algebra.
- Proficiency in at least one programming language commonly used in data science (e.g., Python or R).
- Familiarity with database concepts and SQL.
- Excellent analytical and problem-solving abilities.
- Strong written and verbal communication skills.
- Ability to work effectively in a remote team environment and manage time efficiently.
- Eagerness to learn and a passion for data-driven problem-solving.
- Previous internship or project experience in data analysis or a related field is a plus.
Junior Data Scientist - Graduate Program (Remote)
Posted 12 days ago
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Junior Data Scientist - Graduate Program (Remote)
Posted 11 days ago
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Job Description
Key Responsibilities:
- Assist senior data scientists in collecting, cleaning, and preparing large datasets for analysis.
- Support the development and implementation of statistical models and machine learning algorithms.
- Conduct exploratory data analysis to identify trends, patterns, and insights.
- Help visualize data and create reports to communicate findings to the team.
- Learn and apply various data science techniques and tools under guidance.
- Participate in team meetings and contribute to project discussions.
- Collaborate with team members on data-related tasks and projects.
- Assist in the testing and validation of data models and analytical solutions.
- Gain exposure to different areas of data science, including predictive modeling, data mining, and business intelligence.
- Document methodologies and findings as required.
- Actively engage in remote learning opportunities and professional development.
This is a fully remote internship, providing flexibility to work from your chosen location. The program is notionally based in **Ruiru, Kiambu, KE**, but all work will be conducted remotely, offering a valuable learning experience in a distributed team environment. We are looking for enthusiastic individuals who are eager to learn, self-disciplined, and possess strong virtual communication skills. This remote-first internship requires a proactive attitude and a commitment to professional growth.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning principles.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Basic knowledge of SQL for database querying.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and interpersonal skills, essential for remote collaboration.
- Ability to work independently, manage time effectively, and meet deadlines.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine passion for data and uncovering insights.
Junior Data Scientist - Graduate Program, Remote
Posted 21 days ago
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Job Description
Program Highlights:
- Engage in diverse data science projects across various industries.
- Develop proficiency in programming languages such as Python or R.
- Learn and apply machine learning algorithms and statistical modeling techniques.
- Gain experience with data visualization tools and libraries.
- Collaborate with senior data scientists and cross-functional teams.
- Participate in workshops and training sessions focused on data science best practices.
- Receive regular feedback and mentorship to support your professional development.
- Contribute to actionable insights that drive business decisions.
- Understand the full data science lifecycle, from data acquisition to model deployment.
- Experience working effectively in a fully remote team environment.
- Recently graduated with a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or a related discipline.
- Strong foundation in statistical concepts and analytical thinking.
- Exposure to programming languages like Python or R is essential.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Basic understanding of machine learning concepts and algorithms.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills, with the ability to articulate technical concepts clearly.
- Self-motivated, curious, and eager to learn in a remote setting.
- Ability to work independently and manage time effectively.
- Genuine passion for data and its potential to solve complex problems.
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Junior Data Scientist - Graduate Program (Remote)
Posted 20 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets from diverse sources.
- Support the development and implementation of statistical models and machine learning algorithms.
- Perform data analysis to identify trends, patterns, and insights.
- Create clear and concise data visualizations to communicate findings to technical and non-technical audiences.
- Collaborate with senior data scientists on ongoing projects, providing assistance with research and development tasks.
- Contribute to the documentation of data dictionaries, analysis processes, and model performance.
- Learn and apply various data science tools and programming languages (e.g., Python, R, SQL).
- Participate in team meetings, brainstorming sessions, and knowledge-sharing activities.
- Assist in evaluating the performance of predictive models and recommending improvements.
- Gain exposure to different areas of data science, including predictive modeling, natural language processing, and A/B testing.
- Adhere to data privacy and security best practices.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Solid 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 SQL for database querying.
- Basic knowledge of data visualization tools and techniques.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication abilities.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently and manage tasks effectively in a remote setting.
- Enthusiasm for data-driven insights and a passion for technology.
- Previous internship or project experience in data analysis is a plus.
This is a fantastic stepping stone for aspiring data scientists, offering comprehensive training and real-world project experience within a flexible, fully remote internship program. Launch your career in data science with us!
Junior Data Scientist - Graduate Program (Remote)
Posted 7 days ago
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Job Description
Key Responsibilities:
- Assist in the collection, cleaning, and pre-processing of large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify patterns and insights.
- Develop and implement basic statistical models and machine learning algorithms under guidance.
- Contribute to the feature engineering process for model development.
- Visualize data and model results to communicate findings effectively.
- Collaborate with senior data scientists and engineers on assigned projects.
- Document code, methodologies, and results clearly.
- Participate in team meetings, brainstorming sessions, and knowledge-sharing activities.
- Learn and apply new data science techniques and tools.
- Support the testing and validation of data models.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong foundation in statistical concepts and probability.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, dplyr).
- Basic understanding of machine learning concepts and algorithms.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and challenges.
Junior Data Scientist - Graduate Program (Remote)
Posted 7 days ago
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Job Description
Responsibilities:
- Assist senior data scientists in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Contribute to the development and implementation of machine learning models under the guidance of experienced mentors.
- Evaluate model performance and assist in model tuning and optimization.
- Generate visualizations and reports to communicate findings and insights to technical and non-technical stakeholders.
- Collaborate with engineering teams to deploy models into production environments.
- Participate in code reviews and contribute to the development of robust and scalable data science solutions.
- Stay up-to-date with the latest research and advancements in data science, machine learning, and artificial intelligence.
- Assist in designing and conducting A/B tests and other experiments to validate hypotheses.
- Document methodologies, code, and findings thoroughly.
- Engage in continuous learning and professional development through online courses, workshops, and team knowledge-sharing sessions.
- Contribute to team discussions and brainstorming sessions, offering fresh perspectives and ideas.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Solid understanding of statistical concepts and their application in data analysis.
- Proficiency in programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Familiarity with data manipulation and querying techniques (e.g., SQL).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration skills, with the ability to articulate technical concepts clearly.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- Prior internship or project experience in data analysis or machine learning is a plus.