Senior ML Scientist - Online Bidding & Optimization

Booking Holdings, Inc.

Amsterdam

On-site

EUR 90,000 - 140,000

Full time

5 days ago
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Benefits offered by this job

Hybrid working
Product discounts
Amsterdam living
Competitive compensation

Job summary

Booking.com, Amsterdam, seeks a Machine Learning Scientist to advance bidding algorithms across verticals. You’ll collaborate with ML scientists, engineers and business stakeholders, taking ownership from idea to production ML product.

You will thrive if you are results-driven, quantitatively minded, and adept at solving complex business problems with a customer-centric approach in a fast-paced environment.

Qualifications

  • Master’s degree or PhD required in a relevant field.
  • Knowledge of large-scale optimisation, mechanism design or auction theory.
  • Proven ML/optimisation solutions for large-scale problems.
  • 4+ MSc years or 2+ PhD years applying ML to business problems.
  • Experience across data, model development, statistics, experimentation, visualization, optimization, software development.
  • Cross-functional collaboration in ML product development.

Responsibilities

  • Develop state-of-the-art techniques for online bidding algorithms.
  • Design scalable evaluation pipelines and online/offline evaluation.
  • Ensure reliability and scalability of evaluation tools and frameworks.
  • Conduct in-depth data analysis to define metrics and track performance.
  • Improve ML development processes and tooling.

Skills

Python
GCP
SQL/BigQuery
Spark
English communication

Education

Master’s degree or PhD in CS/Engineering/Math/AI/Physics/Economics

Job description

Booking.com, Amsterdam, seeks a Machine Learning Scientist to advance bidding algorithms across verticals. You’ll collaborate with ML scientists, engineers and business stakeholders, taking ownership from idea to production ML product.

You will thrive if you are results-driven, quantitatively minded, and adept at solving complex business problems with a customer-centric approach in a fast-paced environment.

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