Data Science III - Pricing 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.

Summary A high performing individual contributor who consistently applies and enhances the analytics capabilities, best practices and processes to solve complex business issues and identify opportunities. Operates largely independently and shows ability to mentor more junior colleagues. Regularly interacts with stakeholders up to Director level. having the ability to manage an analytical project (e.g., leading a small workstream, building analytical product). Experience • PhD, Masters or Bachelors (pref for Mathematics or Scientific degree) with 2-4 years work experience OR 4+ years of experience in a comparable data analytics role with relevant experience Education •Demonstrable experience of delivering data-driven insights and recommendations that drove change or performance improvement for stakeholders through multiple projects using different analytics techniques. • Demonstrable advanced level experience of using R, Python or SQL for data analysis, structuring, transforming and visualising big data* • Experience delivering analytics projects to different business areas and displaying strong business acumen N/A Functional/ Technical Skills • Critical thinking and showing an inquisitive mind • Problem solving • Communication and influencing • Information gathering • Listening • Statistics • SQL, Python, R or similar • Data visualisation skills for communicating results to stakeholders of different technical levels • Business acumen • Basic machine learning concepts / approaches Role Expectations •  Intermediate level ability to extract data from multiple data sources independently and combine into the required datasets for model building or analytics. (SJ - Not a basic but intermediate) •Demonstrates awareness of intermediate supervised machine learning theory and techniques and displays a willingness to learn and apply to relevant projects and/or be a valuable partner to Machine Learning Data Science to validate and scale models for optimal business value • Understands the need to collaborate with subject matter experts and stakeholders early in the process in order to clarify the business question, enhance the feature selection process, select an output that is relevant to stakeholders. • Ability to comprehend probability, frequentist vs Bayesian statistics, and how to apply to business problems (eg. AB testing, log regression output). Understands difference between statistically signifiant test readout vs exploratory analysis. • Ability to apply and comprehend statistical concepts like like regression, ANOVA, AB testing etc and understands the difference between a statistically significant test readout vs exploratory analysis. • On measurement techniques and design ; - Uses business acumen in combination with knowledge to appropriately select the correct technique/design to answer business questions (eg. Pre/post, causal impact, multivariate, multi-armed bandit etc) - understands and can explain the trade offs for selecting simpler vs more complex methods - has a deep understanding of the caveats and complex approaches to using them • Has been exposed to a variety of data modelling challenges and has displayed the ability to define and build