Job Description

What You Will Be Doing

• Support the Data Science team in analyzing large datasets to uncover trends, patterns, and business opportunities.
• Assist in developing and maintaining data pipelines and ETL processes to ensure data quality and accessibility.
• Collaborate with cross-functional teams to understand business challenges and contribute to data-driven solutions.
• Perform exploratory data analysis on topics such as customer behavior, search optimization, catalog management, finance, and commercial performance.
• Support the development, testing, and monitoring of machine learning models and predictive analytics solutions.
• Write and optimize SQL queries to extract, transform, and analyze data from various sources.
• Contribute to data visualization and reporting initiatives to support decision-making across the business.
• Assist in ensuring data governance, security, and privacy best practices are followed.
• Stay informed about emerging trends in data science, analytics, artificial intelligence, and machine learning.

What We Are Looking For:

• A university Graduate or currently pursuing a Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Strong interest in data analytics, machine learning, and solving business problems using data.
• Good understanding of statistics, probability, and data analysis concepts.
• Basic to intermediate proficiency in Python and SQL.
• Familiarity with data manipulation libraries such as Pandas, NumPy, or similar tools.
• Exposure to machine learning concepts and frameworks such as Scikit-learn, TensorFlow, or PyTorch is a plus.
• Familiarity with cloud platforms (AWS, Google Cloud, or Azure) is a plus but not required.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
• Eagerness to learn, take initiative, and contribute to impactful projects.