Data Scientist II, Product Analytics

Are you excited by the opportunity to pioneer the future of travel? Do you want to redefine the way people plan, search for, and book their travel? At Expedia Group, we believe that travel brings the world together, and we are passionate aboutthe endlesspossibilities. 
  
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 thatimprovethe user experience for millions of travelers. Your role will involve uncovering customer friction points, hypothesis generation and prioritization, experimentation design, impartial test analysis, and recommendations. If you are a self-starter and have shown success in using analytics to drive innovation and user engagement, this position is for you! 

• Apply your knowledge with Python, R, or any other major ML programming language 

• Write code in a way that enables efficient andaccuratetranslation into a data pipeline 

• Conduct hypotheses testing, design and analyze complex A/B tests 

• Frame business challenges as an analytics problem and a concrete set of analytical tasks 

• Pick analytically valid approaches,appropriate interms of level of effort, favoring iterative delivery that solves for theobjective, 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 

Who You Are: 

• 3+ years of experience in data science and analytics preferably in ecommerce industry, with at leastBachelor's in Mathematics, Science, Statistics, or in a related technical field; or equivalent related professional experience 

• Experience with large datasets andproficiencyin 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 communicationskills, 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 witha high levelof ambiguity 

• Curiosity, passion for making an impact, can-doattitudeand strong attention to detail