Job Description:

This role offers an exciting opportunity to learn and grow in a fast-paced environment while contributing to impactful projects that drive business insights and decision-making.

Key Responsibilities:

• Data Collection and Cleaning: Assist in gathering, cleaning, and organizing large datasets from various sources to ensure data accuracy and integrity.
• Data Analysis: Analyze data using statistical methods and visualization techniques to identify patterns, trends, and correlations.
• Collaboration: Collaborate with cross-functional teams including software engineers, business analysts, and domain experts to understand business requirements and translate them into data-driven solutions.
• Continuous Learning: Stay updated on the latest advancements in data science, machine learning, and related technologies through self-study and participation in training programs.

Requirements:

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
• Programming Skills: Proficiency in programming languages such as Python or R for data analysis and machine learning.
• Statistical Knowledge: Understanding of statistical concepts and techniques for data analysis and modeling.
• Communication Skills: Excellent verbal and written communication skills with the ability to present complex findings in a clear and understandable manner.