6 Junior Data Scientist Graduate Program jobs in whatjobs
Junior Data Scientist - Graduate Program
Posted 20 days ago
Job Viewed
Job Description
Our client is excited to launch a comprehensive Graduate Program for aspiring Junior Data Scientists, offering a fully remote opportunity to kickstart your career in data analytics and machine learning. This program is designed for recent graduates who possess a strong foundation in quantitative fields and a passion for uncovering insights from complex datasets. As a Junior Data Scientist, you will work closely with experienced mentors on real-world projects, gaining hands-on experience in data collection, cleaning, analysis, visualization, and model development. You will learn to apply various statistical techniques and machine learning algorithms to solve business problems, contributing to data-driven decision-making across different departments. Key responsibilities include assisting in the design and implementation of data experiments, developing predictive models, and communicating findings through clear and concise reports and presentations. This role requires proficiency in programming languages such as Python or R, and familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow). You will also develop skills in SQL for database querying and potentially Big Data technologies. The program emphasizes continuous learning and professional development, providing access to online courses, workshops, and mentorship opportunities. This is an exceptional chance to gain invaluable experience and build a strong foundation in data science within a supportive, remote-first environment, contributing to impactful projects from **Mombasa, Mombasa, KE**. Ideal candidates are proactive, curious, and eager to learn from industry experts.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Perform exploratory data analysis and identify key trends.
- Develop and implement basic machine learning models.
- Create data visualizations to communicate insights effectively.
- Support senior data scientists on ongoing projects.
- Write and optimize SQL queries for data extraction.
- Document methodologies and findings clearly.
- Collaborate with cross-functional teams in a remote setting.
- Contribute to the development of data-driven solutions.
- Stay updated on emerging data science techniques and tools.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning principles.
- Proficiency in Python or R for data analysis and modeling.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Basic knowledge of SQL for database querying.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a remote environment.
- Eagerness to learn and adapt to new technologies.
This advertiser has chosen not to accept applicants from your region.
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Junior Data Scientist - Graduate Program
Posted 17 days ago
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Job Description
Our client is launching an exciting new Graduate Program and seeking enthusiastic and bright Junior Data Scientists to join their fully remote team. This is an exceptional opportunity for recent graduates to kick-start their careers in data science, working on real-world projects and gaining invaluable industry experience. You will be mentored by experienced data scientists, learning to apply statistical analysis, machine learning algorithms, and data visualization techniques to extract insights and solve business challenges. The program is designed to provide comprehensive training and development, fostering a deep understanding of data science principles and tools. The ideal candidate will possess strong analytical and problem-solving skills, a passion for data, and a collaborative spirit, even when working remotely.
Program Highlights:
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.
This advertiser has chosen not to accept applicants from your region.
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Junior Data Scientist - Graduate Program
Posted 20 days ago
Job Viewed
Job Description
Our client is excited to offer a fully remote Junior Data Scientist position as part of their comprehensive Graduate Program. This is an exceptional opportunity for recent graduates with a strong passion for data analysis, machine learning, and statistical modeling to kick-start their careers in a supportive and innovative environment. You will work alongside experienced data scientists, contributing to real-world projects and gaining invaluable practical experience.
Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
2
Junior Data Scientist (Graduate Program)
Posted 17 days ago
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Job Description
Our client is a rapidly growing tech startup focused on leveraging data to drive business insights and innovation. We are actively seeking ambitious and bright recent graduates for our Junior Data Scientist position, offered as part of a comprehensive internship program. This fully remote role provides an exceptional opportunity to kickstart your career in data science, working alongside experienced professionals in a dynamic and supportive environment. You will gain hands-on experience in data cleaning, analysis, visualization, and model building, contributing to real-world projects. This program is designed to provide intensive training and mentorship, equipping you with the skills and knowledge necessary to excel in the field of data science.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop data visualizations to communicate findings effectively to technical and non-technical audiences.
- Support the development and implementation of machine learning models under the guidance of senior data scientists.
- Write and maintain code for data analysis and modeling tasks using Python or R.
- Participate in team meetings, brainstorming sessions, and knowledge-sharing activities.
- Document methodologies, processes, and results clearly and concisely.
- Contribute to A/B testing and experimental design efforts.
- Learn and apply new data science techniques and tools as required.
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 foundational knowledge of statistics, probability, and machine learning concepts.
- Proficiency in programming languages such as Python (including libraries like Pandas, NumPy, Scikit-learn) or R.
- Familiarity with data visualization tools and techniques (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Eagerness to learn and a proactive attitude towards challenging tasks.
- Ability to work independently and manage time effectively in a remote setting.
- Prior internship or project experience in data analysis is a plus.
This advertiser has chosen not to accept applicants from your region.
3
Junior Data Scientist - Graduate Program
Posted 10 days ago
Job Viewed
Job Description
Our client is excited to launch their exclusive Graduate Program, seeking bright and ambitious individuals to join as Junior Data Scientists. This is a fully remote internship, providing an invaluable opportunity to kick-start your career in data science. As a Junior Data Scientist, you will work closely with our experienced data science team to analyze large datasets, develop predictive models, and extract actionable insights that drive business decisions. Your responsibilities will include data cleaning and pre-processing, feature engineering, implementing machine learning algorithms, and contributing to the development of data-driven solutions. You will gain hands-on experience with various data science tools and technologies, including Python, R, SQL, and popular machine learning libraries. Key learning opportunities involve: assisting in the design and execution of data analysis experiments, visualizing data to communicate findings effectively, documenting code and methodologies, and participating in team meetings and knowledge-sharing sessions. The ideal candidate is a recent graduate with a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. You should possess a solid understanding of statistical concepts and machine learning fundamentals. Familiarity with programming languages like Python or R, and database querying with SQL, is essential. While professional experience is not required, a passion for data, a curious mindset, and a proactive approach to learning are highly valued. Excellent problem-solving abilities and good communication skills are important for collaborating within a remote team. This internship offers a structured learning environment, mentorship from senior data scientists, and exposure to real-world business challenges. Upon successful completion of the program, there may be opportunities for full-time employment. This is a fantastic entry-level role for motivated graduates looking to build a strong foundation in data science within a supportive, remote setting.
This advertiser has chosen not to accept applicants from your region.
4
Junior Data Scientist - Graduate Program
Posted 3 days ago
Job Viewed
Job Description
Our client is launching an exciting remote Graduate Program and seeks enthusiastic Junior Data Scientists to join their innovative team. This program offers a unique opportunity for recent graduates to launch their careers in data science within a supportive and dynamic virtual environment. As a Junior Data Scientist, you will work closely with senior team members on real-world projects, applying statistical analysis, machine learning algorithms, and data visualization techniques to extract actionable insights from complex datasets. You will be involved in data cleaning, preprocessing, feature engineering, model development, and performance evaluation. This role requires a strong foundation in mathematics, statistics, and computer science, along with proficiency in programming languages such as Python or R. Eagerness to learn, strong problem-solving skills, and excellent communication abilities are essential. This is a fully remote internship, providing invaluable hands-on experience and professional development. Successful candidates will gain exposure to cutting-edge tools and methodologies, contributing to impactful business decisions. If you are a curious and driven graduate passionate about data and eager to develop your skills in a remote setting, we highly encourage you to apply.
Key Responsibilities:
Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets.
- Support the development and implementation of statistical models and machine learning algorithms.
- Conduct exploratory data analysis (EDA) to identify trends and patterns.
- Create data visualizations to communicate findings effectively.
- Collaborate with senior data scientists and engineers on project tasks.
- Learn and apply new data science techniques and tools.
- Document methodologies, code, and results.
- Participate in team meetings and contribute to project discussions.
- Assist in testing and validating models.
- Gain practical experience in a professional data science environment.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning principles.
- Proficiency in Python or R, including relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Familiarity with SQL and database concepts.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Demonstrated eagerness to learn and adapt to new technologies.
This advertiser has chosen not to accept applicants from your region.
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