3 Remote Junior Data Scientist Graduate Role jobs in whatjobs
Remote Junior Data Scientist (Graduate Role)
Posted 21 days ago
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Job Description
Our client is excited to offer a remote Junior Data Scientist position, specifically targeting recent graduates eager to launch their careers in data analytics and machine learning. This fully remote role provides a unique opportunity to gain hands-on experience with real-world data and contribute to innovative projects. You will work closely with senior data scientists and cross-functional teams to clean, analyze, and interpret complex datasets. Responsibilities include developing predictive models, performing statistical analysis, creating data visualizations, and communicating findings to both technical and non-technical audiences. You will gain exposure to various data science tools and technologies, including Python, R, SQL, and machine learning libraries. The ideal candidate will possess a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline, with a solid understanding of statistical concepts and programming fundamentals. A passion for data, a curious mindset, and a proactive approach to learning are essential. While formal experience may be limited, demonstrated project work, internships, or relevant coursework will be highly valued. Excellent problem-solving abilities and strong communication skills are a must. This is an exceptional entry-level opportunity to kickstart your data science journey in a supportive, remote environment. This role, although remote, has its recruiting and HR coordination based out ofMalindi, Kilifi, KE .
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Remote Junior Data Scientist (Graduate Role)
Posted 21 days ago
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Job Description
Our client, an innovative technology firm, is actively seeking bright and ambitious recent graduates to join their team as Junior Data Scientists. This is a fully remote internship opportunity, providing invaluable hands-on experience in the exciting field of data science. You will work closely with senior data scientists and engineers, contributing to the development and implementation of machine learning models, data analysis projects, and predictive analytics solutions. Your responsibilities will include data cleaning, preprocessing, and feature engineering, as well as performing exploratory data analysis to uncover trends and insights. You will assist in the development, training, and evaluation of various machine learning algorithms, such as regression, classification, clustering, and deep learning models. Collaborating with stakeholders to understand business requirements and translate them into data-driven solutions will be a key aspect of this role. You will also contribute to the visualization of data and model results, creating compelling reports and presentations. The ideal candidate will possess a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline. Proficiency in programming languages like Python or R, along with experience in relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), is essential. Familiarity with SQL and database management is also required. Excellent analytical and problem-solving skills, a keen attention to detail, and a passion for learning new technologies and methodologies are crucial. You should be a self-motivated individual with strong communication skills, capable of working effectively in a remote team environment. This internship offers a fantastic platform to kickstart your career in data science, gain practical experience with real-world datasets, and contribute to cutting-edge projects. Our client offers a competitive stipend and the opportunity to develop your skills under the guidance of experienced professionals.
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Remote Junior Data Scientist - Graduate Role
Posted 12 days ago
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Job Description
Our client is offering an exciting opportunity for recent graduates to launch their careers as Remote Junior Data Scientists. This is a fully remote internship position, providing invaluable hands-on experience in data analysis and machine learning. You will work under the guidance of experienced data scientists, contributing to real-world projects that drive business insights. Your responsibilities will include collecting, cleaning, and transforming data from various sources, performing exploratory data analysis, building predictive models, and visualizing data to communicate findings effectively. You will gain exposure to a wide range of analytical techniques and tools, including Python, R, SQL, and machine learning libraries. The ideal candidate will have a strong academic background in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline. A foundational understanding of data science principles, statistical modeling, and programming is essential. While prior professional experience is not required, a passion for data, strong analytical aptitude, and a proactive learning attitude are critical. You will be expected to actively participate in team meetings, collaborate with colleagues, and contribute to the overall success of data science initiatives within the
Machakos, Machakos, KE graduate program.
Responsibilities:
Machakos, Machakos, KE graduate program.
Responsibilities:
- Assist in collecting, cleaning, and preparing data for analysis.
- Perform exploratory data analysis (EDA) to identify patterns and insights.
- Support the development and implementation of machine learning models.
- Create data visualizations to communicate findings effectively.
- Collaborate with senior data scientists on various projects.
- Document code, methodologies, and results.
- Learn and apply new data science techniques and tools.
- Participate in team discussions and contribute to problem-solving.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis techniques.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with SQL for data extraction and manipulation.
- Basic knowledge of machine learning algorithms is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Eagerness to learn and work independently in a remote setting.
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