Tech Stack

Description

You'll work with the Data, ML and AI team to develop and experiment with machine learning models that improve campaign optimization, forecasting, and decision automation. You'll collaborate on large-scale retail media datasets, build data pipelines, and contribute to AI-powered product features.

Requirements

• Currently pursuing a degree in a relevant field (e.g., data science, computer science)
• Basic knowledge of machine learning concepts and frameworks
• Experience with Python and data manipulation libraries
• Familiarity with SQL and large-scale datasets
• Strong analytical and communication skills

Responsibilities

• Develop and experiment with ML models for campaign optimization and forecasting
• Collaborate with data scientists, ML engineers, and product managers on retail media datasets
• Assist in building data pipelines, feature engineering, and model evaluation frameworks
• Prototype AI-enabled product features like recommendations or predictive insights
• Document findings and present outcomes to stakeholders