Senior Data Scientist, Product Analytics

11310 Expedia.com Ltd.; Greater London; Presencial; GBP 90.000 - 130.000; Jornada completa

Descripción de la vacante

Expedia Group seeks a Senior Data Scientist, Analytics, to drive localization analytics across the Content Product Analytics domain. You will design and deploy advanced ML models, lead A/B experiments, and translate multilingual data into actionable insights for product and leadership.

Maintain scalable pipelines and mentor peers in a fast-paced, data-driven environment. You will collaborate across teams to ensure production-grade solutions, ethical AI use, and strong storytelling to influence

Formación

• Bachelor's degree or higher in Statistics, Economics, CS, Data Science, or related field; or equivalent experience
• 8+ years in data science/analytics in industry
• Expert in statistical modeling and experiment design (A/B, causal inference)
• Hands-on ML/NLP models at production scale (text classification, semantic similarity)
• Advanced SQL and Python; production-quality code
• Experience with large-scale unstructured text data and LLMs; prompt design and evaluation
• Mentor junior data scientists and engineers; build dashboards and scalable visuals
• Operate independently; influence product and business strategy through data storytelling

Responsabilidades

• Develop and deploy ML models to solve business challenges
• Design and lead complex A/B and causal experiments; own framework for Localization product
• Translate multilingual data insights into narratives for product and execs
• Write SQL and Python to build scalable analytics pipelines and dashboards
• Collaborate to architect end-to-end data pipelines and intelligent systems
• Mentor data scientists and engineers; foster technical excellence
• Safely integrate AI/ML solutions; ensure reliability, ethics, and scalability
• Co-own with Product and business leaders the metric frameworks and workflows

Conocimientos

ML/modeling

A/B testing

Experiment design

Data storytelling

Mentoring

Python

SQL

Pipelines

Educación

Bachelor's degree or higher in Statistics/CS/Data Science

Herramientas

SQL

Python

LLMs

RAG patterns

Descripción del empleo

Senior Data Scientist, Analytics

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. The Product Team creates high-quality end-to-end experiences for travelers, partners, and Expedia Group. Our focus on customer-centric innovation enables us to develop products that build loyalty and repeat business. We partner closely with teams across Expedia Group to drive growth and achieve results for our customers and the company. 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.

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.

Experience and qualifications

• 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
• You are a 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)
• You have hands‑on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring)
• You have advanced proficiency in SQL and Python, with ability to write clean, production-quality code
• You have experience working with large‑scale, unstructured text data and LLMs — including prompt design, evaluation (e.g., golden sets, LLM‑as‑judge), and RAG patterns
• You have demonstrated ability to mentor junior data scientists, balance speed, risk, and analytical rigor
• You have experience with advanced visualization techniques / best practices, and building scalable dashboards
• You operate independently, managed cross‑function projects and able to influence product and business strategy through data, and storytelling skills

Location

Please note that this role is only available in the following location: London, in alignment with our flexible work model which requires employees to be in-office at least three days a week. We are unable to offer relocation assistance for this role.

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

About Expedia Group

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. Important notice Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/. Expedia Group, Inc. (NASDAQ: EXPE) is the global travel marketplace with one purpose: to help travelers explore the world, one journey at a time. Expedia Group™ connects travelers, partners, and advertisers through its trusted brands, leading technology, and rich first‑party data, delivering predictive, personalized experiences that shape the future of travel. Expedia Group’s ecosystem includes three flagship consumer brands – Expedia®, Hotels.com®, and Vrbo® – the largest B2B travel business, and a premier advertising network. Guided by an experienced and passionate global team, Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease. Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident about who they are. We do not send job offers via email, or any other messaging tools, to individuals we have not had prior contact. Our email domain is @expediagroup.com. Our official careers website, where you can to find and apply for job openings, is here.

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.