Are you passionate about driving product innovation through online experimentation? If you love exploring the world and want to help a product oriented company continuously improve their platform to facilitate travel, let's talk!
Expedia is seeking an intellectually curious, collaborative and experienced data scientist to join the Global data science (Product Analytics and Experimentation) team as a Lead statistician. This team fuels data-informed decisions, and online experimentation to enhance web products and improve customer experience.
What you’ll do?
Lead the design, analysis, and interpretation of online experiments that shape product decision-making
Drive innovation through development of new experimentation methodologies, statistical techniques, and causal-inference approaches that could sharpen our product decision-making and improve user experience
Drive the research direction in developing methods and tools that increase the rigor and efficiency of our experimentation platform
Present your research and insights to all levels of the company
Build methods and metrics to measure health and performance of A/B testing program across various product teams
Build self-service tools and provide the training to empower individuals to make their own decisions on test design and analysis
Check on the quality and use of information coming from experiments for business decisions
Provide general experimentation and statistical consulting across the organization
Use business and technical knowledge to influence a variety of partners on test design and outcome (validation of hypothesis, size and configuration of test variances, test length, winner acceptance criteria, validation of test results and calculation of annualized revenue impact)
This is a high-impact, high-visibility role in which you will have direct influence on how product decisions are made and what experiences are being rolled out to our users across the globe.
You will partner closely with product managers, engineers, and data scientists to drive a culture of experimentation, develop methods in causal inference and improve decision making.
You'll make improve the health and performance of testing program across the organization
You'll communicate statistical & experimental techniques as well as test results to variety of partners (product managers, marketers and senior leaders)
Who you are:
Masters or PhD in in Statistics, Econometrics, Computer Science, Physics, or a related quantitative field; or equivalent related work experience
Significant experience and excitement with one or more of the following: advanced statistical techniques for A/B testing, methods for experimental design, observational causal inference, or quasi-experimental analysis
Deep statistical skills utilized in analyzing clickstream behavioral data, A/B testing, and modeling
Experience with distributed analytic processing technologies (Spark, Presto, Hive)
Strong proficiency with Python / R and SQL
Exceptional interpersonal and communication skills
Deep product sense
Experience using massive amounts of data to drive product innovation
Experience with scaling experimentation platform and Spark is a plus
About Expedia Group
Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, Egencia®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.
© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
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