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Amsterdam
1 day ago
Senior Machine Learning Scientist - ABU logo

Senior Machine Learning Scientist - ABU

Booking.com

Amsterdam
1 day ago
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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.

AIHybridFull-timeSeniorCausal InferenceUplift Modeling

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.

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AIHybridFull-timeSeniorCausal Inference

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

4 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)
Causal InferenceUplift ModelingTreatment Effect EstimationPythonTensorFlowPyTorchLightGBMXGBoostExperimental DesignA/B TestingStatistical MethodologyApache SparkApache AirflowNeural Network DesignMachine Learning
Soft Skills
CommunicationCross-functional CollaborationMentoringTechnical LeadershipProblem Solving

Preferred Qualifications

Technical (Nice-to-have)
Heterogeneous Treatment EffectsInterference / Spillover EffectsPolicy LearningNeural Network Design for Structured DataEmbeddingsAttention MechanismsMulti-Task Architectures

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.
Senior Machine Learning ScientistCausal InferenceUplift ModelingPythonTensorFlowPyTorchA/B TestingE-commerceAmsterdam
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