Job Description

Roles & Responsibilities

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.

Desired Candidate Profile

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.