Officer Data Science
Cargolux AirlinesLuxembourg1 day ago
InternshipResearch, Analyst +1
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Task Responsibilities:
Key Responsibilities
Data Collection and Cleaning:
Gather data from various sources and ensure its quality through cleaning and preprocessing.
Data Analysis:
Perform statistical analysis to identify patterns and trends in data sets.
Model Development:
Assist in developing and implementing machine learning models and algorithms.
Data Visualization:
Create data visualizations and reports to communicate findings to stakeholders.
Collaboration:
Work closely with senior data scientists and other team members to understand business needs and provide data-driven solutions.
Continuous Learning:
Stay updated with the latest data science techniques and tools to continually improve data reliability and quality.
Essential Requirements For The Position:
Qualifications:
Education:
Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
Technical Skills:
Proficiency in programming languages such as Python or R, and experience with data analysis tools and libraries.
Analytical Skills:
Strong problem-solving abilities and attention to detail.
Communication Skills:
Ability to effectively communicate complex data insights to non-technical stakeholders.
Experience:
Previous internships or projects in data science are a plus.
Key Responsibilities
Data Collection and Cleaning:
Gather data from various sources and ensure its quality through cleaning and preprocessing.
Data Analysis:
Perform statistical analysis to identify patterns and trends in data sets.
Model Development:
Assist in developing and implementing machine learning models and algorithms.
Data Visualization:
Create data visualizations and reports to communicate findings to stakeholders.
Collaboration:
Work closely with senior data scientists and other team members to understand business needs and provide data-driven solutions.
Continuous Learning:
Stay updated with the latest data science techniques and tools to continually improve data reliability and quality.
Essential Requirements For The Position:
Qualifications:
Education:
Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
Technical Skills:
Proficiency in programming languages such as Python or R, and experience with data analysis tools and libraries.
Analytical Skills:
Strong problem-solving abilities and attention to detail.
Communication Skills:
Ability to effectively communicate complex data insights to non-technical stakeholders.
Experience:
Previous internships or projects in data science are a plus.
Key Skills
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