Description

You will build, optimize, and deploy machine learning models to improve marketing campaigns and e-commerce performance.

This role is on-site.

Responsibilities

• Process large-scale datasets using distributed computing platforms to extract insights and predict trends.
• Build advanced statistical and machine learning models for search engine marketing, including ads performance prediction and bidding optimization.
• Execute large-scale A/B testing to evaluate model performance in SEM applications.
• Develop data visualizations and interactive dashboards to communicate business insights.
• Deploy, optimize, and scale models within production environments.

Required Skills

• Master's degree in Computer Science, Statistics, Optimization, or a related field.
• Minimum 5 years of experience in a machine learning related field.
• Proficiency in Python, R, SQL, Spark, and Hive.
• Experience sourcing, cleaning, and manipulating large volumes of data using distributed computing platforms.
• Practical knowledge of regression, classification, ensemble methods, and deep learning.
• Experience with A/B testing, causal inference, Natural Language Processing, and Reinforcement Learning.
• Ability to manage end-to-end modeling projects from research to production.

Key Skills

Education

Master's degree