Machine Learning Scientist Ii, Search Marketing Bidding

Expedia Group

Not specified; not specified; full benefits pyckag...
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Python proficiency with pandas scikit-learn numpy
Advanced sql for large-scale datasets
Experience with regression glms optimization time-series
** Expedia Group is seeking a Machine Learning Scientist II for their Search Product & Optimization team, focusing on optimizing marketing bidding strategies through machine learning. The ideal candidate will have a strong background in data science and programming, particularly in Python and SQL, with a keen interest in AdTech and auctions. **

Job Summary

  • The role focuses on building scalable, data-driven systems that optimize global marketing investments across Search, Metasearch, and Social platforms.
  • Candidates will design machine learning models to automate bidding strategies like Target ROAS and Target CPA while measuring performance elasticity.
  • Expedia offers a full benefits package including travel perks, flexible work models, and career development resources to fuel employee passion.

Matching Summary

Match Score: 75

** Expedia Group is seeking a Machine Learning Scientist II for their Search Product & Optimization team, focusing on optimizing marketing bidding strategies through machine learning. The ideal candidate will have a strong background in data science and programming, particularly in Python and SQL, with a keen interest in AdTech and auctions. **

Salary

Not specified; Not specified; Full benefits package including travel perks and generous time-off

Skills & Requirements

Must-have

  • Python proficiency with pandas scikit-learn numpy
  • Advanced SQL for large-scale datasets
  • Experience with regression GLMs optimization time-series
  • Production-grade model deployment experience
  • A/B experiment design and analysis

Nice-to-have

  • Interest in AdTech bidding markets game theory
  • Ability to work with ambiguity
  • Cross-functional collaboration skills
  • Strong mathematical problem framing abilities

Key Requirements

  • Bachelor or Master's degree in quantitative field
  • 2+ years professional experience applying Machine Learning
  • Solid understanding of probability theory and control systems

Work Rights

Not specified

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