Responsibilities & Accountabilities
Educational and Experience Requirements
Degree: Bachelor's in Data Science, Computer Science, Statistics, Mathematics, or related field.
Practical Experience: Internships, projects, or academic experience in data analysis, modelling, or related roles.
Programming Proficiency: Proficient in Python, demonstrated through projects or practical applications.
Data Manipulation and Analysis: Experience in data manipulation and analysis using appropriate tools.
Collaborative Projects: Collaboration on team projects, showcasing problem- solving and teamwork abilities.
Application of Data Science: Application of data science concepts to real-world problems through academic projects or internships.
Adaptability and Learning: Demonstrated ability to learn and adapt to new technologies and methodologies.
Communication Skills: Effective communication skills demonstrated through presentations or project reports.
Ethical Data Handling: Understanding and adherence to ethical guidelines and responsible data handling practices.