About the Role
We're looking for a senior-level individual contributor to provide valuable analytics and decision support to drive Expedia's Localization product within Content Product Analytics. In this role, you will partner with cross-functional teams to contribute to many aspects of product development, including understanding user behavior, A/B experimentation, and problem-solving using statistics and causal inference techniques.
Responsibilities
- Develop and deploy advanced machine learning models to solve complex business challenges and drive data-informed decision making.
- Design and lead complex A/B and causal experiments to measure the impact of localization changes on traveler engagement and booking conversion; own the experimentation framework for the Localization product area.
- Translate complex multilingual data insights into compelling narratives for product, engineering, and executive audiences; influence roadmap prioritization through data.
- Write advanced SQL and Python to build scalable, automated analytics pipelines and self-serve dashboards.
- Collaborate with cross-functional teams to architect and implement end-to-end data pipelines and intelligent systems that operate at production scale.
- Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning.
- Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable.
- Co‑own with Product and business leaders the metric frameworks and decision workflows for your area.
Requirements
- Bachelor’s degree or higher in Statistics, Economics, Computer Science, Data Science, or a related quantitative field; or equivalent related professional experience.
- 8+ years of experience in data science, applied science, or analytics (6+ years with MS/PhD) in an industry setting.
- Proven expert in statistical modeling and experiment design — including A/B testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit).
- Hands-on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring).
- Advanced proficiency in SQL and Python, with ability to write clean, production-quality code.
- Experience working with large-scale, unstructured text data and LLMs — including prompt design, evaluation (e.g., golden sets, LLM-as-judge), and RAG patterns.
- Demonstrated ability to mentor junior data scientists, balance speed, risk, and analytical rigor.
- Experience with advanced visualization techniques / best practices, and building scalable dashboards.
- Operate independently, managed cross-function projects and able to influence product and business strategy through data, and storytelling skills.
Skills
- Machine learning
- A/B testing
- Causal inference
- SQL
- Python
- Data pipelines
- Intelligent systems
- AI/ML
- NLP
- Text classification
- Semantic similarity
- Quality scoring
- Large-scale data
- Unstructured text data
- LLMs
- Prompt design
- RAG patterns
- Data visualization
- Dashboarding
- Storytelling
Location
- London
Work Type
- Hybrid
Experience Level
- Senior
- 8+ years
- 6+ years with MS/PhD
Education Level
- Bachelor's degree or higher in Statistics, Economics, Computer Science, Data Science, or a related quantitative field; or equivalent related professional experience.
About the Company
- Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Equal Opportunity
- Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
