
Senior Machine Learning Scientist - ABU
Booking.com
Senior Machine Learning Scientist - ABU
Booking.com seeks a Senior Machine Learning Scientist for the ABU ML team within Margin Management, focusing on causal machine learning systems and uplift modeling for promotional spend optimization. The role involves designing, deploying, and validating causal models through large-scale A/B experiments, with opportunities for research publication. Requires MSc/PhD in quantitative field, strong experience in causal inference, Python, and ML frameworks.
Senior Machine Learning Scientist - ABU
Booking.com seeks a Senior Machine Learning Scientist for the ABU ML team within Margin Management, focusing on causal machine learning systems and uplift modeling for promotional spend optimization. The role involves designing, deploying, and validating causal models through large-scale A/B experiments, with opportunities for research publication. Requires MSc/PhD in quantitative field, strong experience in causal inference, Python, and ML frameworks.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Design and deploy uplift models that estimate heterogeneous treatment effects, optimizing incremental return on investment under budget constraints.
- Design and execute causal inference methodologies; including observational debiasing (IPW, doubly robust estimation), sensitivity analysis, and interference-aware evaluation.
- Advance the team's neural network architectures for uplift modeling on tabular data, balancing model expressiveness with production latency.
- Research marketplace interference and cannibalization; building frameworks to measure and correct for demand shifting.
- Develop offline evaluation methods that reliably predict online performance.
- Own models end-to-end; from research through A/B experimentation to production calibration.
- Collaborate cross-functionally with ML engineers, data scientists, and product/business stakeholders.
- Actively coach and mentor less experienced team members.