Data Scientist II, Product Analytics

1 month ago


London, Greater London, United Kingdom Expedia Group Full time

About Expedia Group

We believe that travel brings the world together, and we are passionate about the endless possibilities. Our team is dedicated to pioneering the future of travel, redefining the way people plan, search for, and book their travel.

Job Summary

We are seeking an experienced Product Analyst to join our Product Analytics & Experimentation Team to partner with product managers and focus on user experience optimization. As a Data Scientist II, you will support critical business decisions throughout the product development lifecycle that improve the user experience for millions of travelers.

Key Responsibilities

  • Apply your knowledge with Python, R, or any other major ML programming language to drive innovation and user engagement.
  • Write code in a way that enables efficient and accurate translation into a data pipeline.
  • Conduct hypotheses testing, design and analyze complex A/B tests to uncover customer friction points.
  • Frame business challenges as an analytics problem and a concrete set of analytical tasks.
  • Pick analytically valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask.
  • Communicate across various levels of the organization, tailoring your messaging to the audience and filtering relevant information.
  • Manage stakeholders with frequent communication, expectation management, meeting deadlines, and the backlog.

Requirements

  • 3+ years of experience in data science and analytics preferably in ecommerce industry, with at least Bachelor's in Mathematics, Science, Statistics, or in a related technical field; or equivalent related professional experience.
  • Experience with large datasets and proficiency in SQL and another programming language (e.g. R, Python).
  • Experience and/or understanding of the AB testing methodologies + familiarity with data exploration and visualization tools like Tableau.
  • Display strong domain knowledge, business acumen, and critical reasoning skills.
  • Strong communication skills, with the ability to present the business value of analysis concisely and clearly and an understanding of stakeholder management skills.
  • Ability to perform in a high-pressure, dynamic environment and be comfortable with a high level of ambiguity.
  • Curiosity, passion for making an impact, can-do attitude and strong attention to detail.


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