38 Junior Data Scientist Graduate Program jobs in whatjobs
Junior Data Scientist - Graduate Program
Posted 19 days ago
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Program Highlights:
- Intensive training in data analysis, machine learning, statistical modeling, and data visualization.
- Hands-on experience working on challenging data science projects across various domains.
- Mentorship from senior data scientists and industry experts.
- Development of practical skills in programming languages like Python and R, and relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow).
- Exposure to data manipulation, feature engineering, model building, and evaluation.
- Learning to effectively communicate data-driven insights through reports and presentations.
- Opportunity to contribute to innovative solutions and business strategies.
- Build a strong professional network within a dynamic and growing company.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Economics, or a closely related quantitative field.
- Strong foundation in statistical concepts and analytical techniques.
- Familiarity with programming languages commonly used in data science (e.g., Python, R).
- Basic understanding of machine learning algorithms and concepts is a plus.
- Excellent problem-solving abilities and a curious, inquisitive mindset.
- Strong communication and interpersonal skills, with the ability to articulate technical concepts clearly.
- Self-motivated, eager to learn, and able to work independently in a remote setting.
- Passion for data and a desire to build a career in data science.
- Ability to collaborate effectively with team members in a virtual environment.
Junior Data Scientist (Graduate Program)
Posted 22 days ago
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Junior Data Scientist - Graduate Program
Posted 22 days ago
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Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and transforming data from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Develop and implement basic statistical models and machine learning algorithms under guidance.
- Visualize data and model results to communicate findings effectively.
- Collaborate with senior data scientists and analysts on project tasks.
- Learn and apply new data science tools, techniques, and methodologies.
- Contribute to the documentation of data processes and findings.
- Participate in team meetings and present project updates.
- Adhere to data privacy and security best practices.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Engineering, or a related discipline.
- Strong understanding of fundamental statistical concepts and analytical principles.
- Basic programming skills in Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) is a plus.
- Exposure to machine learning concepts through coursework or personal projects.
- Excellent problem-solving skills and a keen analytical mindset.
- Strong eagerness to learn and adapt to new technologies.
- Good communication and interpersonal skills, comfortable working in a remote team.
- Ability to manage time effectively and meet deadlines.
Junior Data Scientist - Graduate Program
Posted 22 days ago
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Job Description
Program Overview & Responsibilities:
- Participate in intensive training sessions covering data analysis, machine learning algorithms, statistical modeling, and data visualization.
- Work alongside experienced data scientists on challenging projects, applying learned skills to solve business problems.
- Clean, process, and transform large datasets from various sources.
- Develop and implement predictive models and machine learning algorithms.
- Perform exploratory data analysis to uncover insights and trends.
- Create compelling data visualizations and reports to communicate findings to stakeholders.
- Collaborate with cross-functional teams, including engineering, product, and marketing.
- Contribute to the continuous improvement of data infrastructure and analytical processes.
- Stay up-to-date with the latest advancements in data science and AI.
- Engage in team discussions, knowledge sharing, and problem-solving sessions.
- Receive personalized mentorship and career development guidance.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, or a closely related quantitative field.
- Strong foundation in statistical concepts and mathematical principles.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Basic understanding of database concepts and SQL.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, essential for effective remote collaboration.
- Eagerness to learn, a proactive attitude, and a passion for data.
- Ability to work independently and manage tasks effectively in a remote setting.
- Previous internship or project experience in data analysis or a related field is a plus.
Junior Data Scientist - Graduate Program
Posted 22 days ago
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Junior Data Scientist (Graduate Program)
Posted 22 days ago
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Job Description
Program Highlights:
- Hands-on experience with data cleaning, transformation, and analysis using Python and R.
- Exposure to machine learning algorithms, statistical modeling, and data visualization techniques.
- Work on challenging projects across various business domains, contributing to actionable insights.
- Receive dedicated mentorship from senior data scientists.
- Participate in workshops and training sessions focused on advanced data science concepts and tools.
- Develop your understanding of cloud platforms (AWS, Azure, GCP) and big data technologies.
- Collaborate with cross-functional teams in a dynamic, remote environment.
- Build a strong professional network and gain invaluable industry experience.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
- Strong foundation in statistical concepts and programming (Python or R preferred).
- Familiarity with machine learning principles is a plus.
- Excellent problem-solving and analytical thinking skills.
- Strong communication and teamwork abilities.
- Eagerness to learn and adapt to new technologies.
- Ability to work independently and manage tasks effectively in a remote setting.
- A genuine passion for data and its potential to drive business value.
- Must be eligible to work in the specified region.
Junior Data Scientist - Graduate Program
Posted 22 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights.
- Support the development and implementation of machine learning models under the guidance of senior team members.
- Conduct statistical analysis and hypothesis testing.
- Visualize data and model results using various charting and graphing techniques.
- Write well-documented code for data analysis and model development (primarily Python or R).
- Collaborate with other data scientists, engineers, and business analysts on projects.
- Learn and apply new data science techniques and tools.
- Contribute to the maintenance and improvement of data pipelines and analytical frameworks.
- Prepare reports and presentations to communicate findings to technical and non-technical audiences.
- Participate actively in team meetings, discussions, and knowledge-sharing sessions.
- Assist in validating model performance and accuracy.
- Understand and adhere to data privacy and security policies.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong foundation in 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 visualization tools (e.g., Matplotlib, Seaborn, ggplot2).
- Basic understanding of SQL for database querying.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a fully remote setting.
- Eagerness to learn and a proactive attitude towards taking on new challenges.
- A portfolio of personal projects or academic work demonstrating data analysis and modeling skills is a strong plus.
- Understanding of data governance and ethical considerations in data science is beneficial.
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About the latest Junior data scientist graduate program Jobs in Kenya !
Junior Data Scientist - Graduate Program
Posted 22 days ago
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Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and pre-processing diverse datasets.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop data visualizations and reports to communicate findings effectively.
- Support the development and testing of statistical models and machine learning algorithms.
- Collaborate with senior data scientists and cross-functional teams on various projects.
- Contribute to the documentation of data science processes and methodologies.
- Learn and apply new data science techniques and tools.
- Assist in ensuring data quality and integrity throughout the analysis process.
- Participate in team meetings and contribute to discussions on data-driven solutions.
- Gain practical experience in a professional data science environment.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Engineering, or a related quantitative field.
- Strong understanding of statistical concepts and analytical techniques.
- 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, dplyr).
- Basic knowledge of SQL for data extraction and manipulation.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, ggplot2, Tableau) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills for effective remote collaboration.
- Eagerness to learn and adapt to new technologies and methodologies.
- Must be eligible to work remotely within Kenya.
Junior Data Scientist - Graduate Program
Posted 22 days ago
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Job Description
Key responsibilities include assisting in the collection and preprocessing of data from various sources, applying statistical techniques and machine learning algorithms, and evaluating model performance. You will also be involved in interpreting results, generating reports, and communicating findings to technical and non-technical audiences. This role requires a strong foundation in mathematics, statistics, and programming. Familiarity with 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) is highly beneficial.
The ideal candidate is a curious, analytical, and self-motivated individual with a passion for data and a strong desire to learn. You should possess excellent problem-solving skills and the ability to work collaboratively in a remote team environment. This internship offers a unique chance to gain practical experience, develop essential data science skills, and kickstart your career in a rapidly growing field. We are committed to providing a supportive and challenging learning environment where you can grow professionally.
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from diverse sources.
- Apply statistical analysis and machine learning techniques to large datasets.
- Develop and implement predictive models and algorithms.
- Evaluate model performance and identify areas for improvement.
- Visualize data and present findings in a clear and understandable manner.
- Collaborate with senior data scientists and cross-functional teams.
- Contribute to data-driven storytelling and insight generation.
- Stay updated on the latest trends and technologies in data science.
- Document code, methodologies, and results.
- Participate in team meetings and contribute to project discussions.
- 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 machine learning algorithms.
- Proficiency in programming languages like Python or R.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) is a plus.
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills.
- Ability to work independently and manage tasks effectively in a remote setting.
- Eagerness to learn and adapt to new technologies.
Junior Data Scientist Graduate Program
Posted 13 days ago
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Job Description
Program Highlights:
- Structured Training: In-depth modules covering Python, R, SQL, statistical modeling, machine learning, and data visualization.
- Mentorship: Paired with experienced data scientists for guidance, support, and career development.
- Hands-on Projects: Work on impactful projects that address critical business questions and utilize real datasets.
- Cross-functional Exposure: Collaborate with various teams to understand diverse business needs and data applications.
- Skill Development: Enhance technical skills, problem-solving abilities, and communication for a data science career.
- Networking Opportunities: Connect with peers and professionals within the organization.
- Recent graduates (within the last 1-2 years) with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, Physics, Economics, or a closely related quantitative field.
- Strong foundational knowledge in statistics, probability, and mathematics.
- Familiarity with programming languages such as Python or R is highly desirable.
- Exposure to databases and SQL is a plus.
- A genuine passion for data, analytics, and problem-solving.
- Excellent analytical and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
- Ability to work effectively in a collaborative, remote team setting.
- Proactive, self-motivated, and eager to learn new technologies and methodologies.
- Duration: 6 months (with potential for full-time conversion based on performance).
- Location: Fully Remote.
- Start Date: (Specify approximate start date, e.g., Early September 2024).