2 Remote Junior Graduate Analyst Data Science jobs in whatjobs
Remote Junior Graduate Analyst - Data Science
Posted 20 days ago
Job Viewed
Job Description
Kickstart your career with this exciting, fully remote Junior Graduate Analyst position focused on Data Science! Our client is a rapidly growing tech firm looking for bright, ambitious graduates eager to dive into the world of data. You will work alongside experienced data scientists, learning to extract insights, build predictive models, and contribute to data-driven decision-making across various business functions. This internship is designed to provide a comprehensive learning experience in a supportive, remote-first environment.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Support the development and implementation of statistical models and machine learning algorithms.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Create visualizations and reports to communicate findings to both technical and non-technical audiences.
- Collaborate with team members on data analysis projects, contributing to problem-solving and insight generation.
- Learn and apply data analysis tools and programming languages such as Python or R.
- Document data processes, methodologies, and findings.
- Participate in team meetings and contribute ideas for data-driven solutions.
- Gain practical experience in data wrangling, feature engineering, and model evaluation.
- Assist in A/B testing design and analysis.
- Contribute to the maintenance and improvement of data pipelines.
- 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 basic machine learning principles.
- Familiarity with programming languages like Python or R for data analysis.
- Basic knowledge of SQL for database querying.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and data accuracy.
- Good communication and interpersonal skills, suitable for remote collaboration.
- 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 and its potential to drive business value.
This advertiser has chosen not to accept applicants from your region.
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Remote Junior Graduate Analyst - Data Science
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking bright and enthusiastic Junior Graduate Analysts to join their innovative data science team. This is a fully remote internship opportunity, providing invaluable hands-on experience in data analysis, interpretation, and modeling. The ideal candidate is a recent graduate with a strong academic background in a quantitative field, a passion for data, and a keen analytical mind. You will work closely with senior data scientists and analysts, contributing to real-world projects and learning cutting-edge techniques in a supportive virtual environment.
Key Responsibilities:
Key Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Support the development and implementation of statistical models and machine learning algorithms under guidance.
- Create visualizations and reports to communicate findings to technical and non-technical audiences remotely.
- Collaborate with team members on data-related tasks and projects.
- Learn and apply new data analysis tools and techniques.
- Assist in documenting methodologies, processes, and results.
- Participate in virtual team meetings and contribute to discussions.
- Identify opportunities for data-driven improvements within projects.
- Contribute to maintaining data quality and integrity.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and data analysis principles.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Basic understanding of machine learning concepts and algorithms is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and commitment to data accuracy.
- Good written and verbal communication skills, suitable for remote interaction.
- Ability to work independently, manage time effectively, and learn quickly.
- Proactive attitude and eagerness to contribute to team objectives.
- Familiarity with data visualization tools is an advantage.
This advertiser has chosen not to accept applicants from your region.
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