Overview
In this role you apply advanced machine learning to marketing challenges at scale, developing models that optimize paid and organic channels, CRM, and conversions. You will collaborate with a cross-functional team to prototype, validate, and deploy ML solutions that drive business growth and measurable impact in real time. The role blends hands-on modeling with experimental design and production monitoring in a fast-paced environment. This is an opportunity to shape how data informs travel decisions for millions of users.
Responsibilities
- Apply ML models to core marketing problems across channels
- Identify and pursue new ML opportunities in marketing use cases
- Automate ETL pipelines to support data products
- Prototype, evaluate, deploy and maintain ML models in production
- Design AB tests and analyze results
- Discover new data analysis methods and insights
- Communicate progress and experimental findings to technical and business stakeholders
Key requirements
- PhD or Masters in Computer Science, Engineering, Statistics, or related field
- Knowledge of AB test design and analysis
- Strong background in machine learning and statistics
- Solid foundation in data structures and algorithms
- Proficiency in Python (NumPy/Pandas/Scikit-learn)
- Ability to interpret and write complex SQL queries
- Experience with big data technologies (Hive and Spark)
- Track record of deploying and maintaining models
- Hands-on experience with AI-powered tools
- Team player
- Loves to learn
- Excellent communication with technical and non-technical partners
- Python for numerical/statistical programming (NumPy/Pandas/Scikit-learn)
- SQL querying
- AB test design and analysis
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