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Data Science Analyst III, Product Analytics
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India - Haryana - Gurgaon
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Technology
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Full-Time Regular
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11/13/2024
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ID # R-91312
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Data Scientist III, Product Analytics
Introduction to the team
Our Expedia Product & Technology division builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A unified, singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction.
Checkout product analytics is apart of the global product analytics team in Expedia. We as a team support key business decisions throughout the product development lifecycle that improves the user experience for millions of Expedia customers on all brand’s Checkout and confirmation pages. This involves uncovering customer friction points, hypothesis generation and prioritisation, experimentation design, valid and impartial test analysis and recommendations.
In this role, you will:
Be a go-to expert on Checkout user behaviour data
Influence Checkout product decisions and roadmap by crafting insightful data-driven stories
Set measurement framework and targets to support Checkout strategy
Provide requirements for Checkout data capture that helps us understand and optimize our Product
Lead Checkout end to end a/b testing: from discovery analysis, to test design, test evaluation and recommendations for future iterations
Proactively engage with Checkout product managers to define upcoming project needs and maintain regular communication on progress
Get alignment across the org by sharing key Checkout analytics updates and involving the broader Analytics, Product, and Business teams for decision-making when appropriate
Keep up-to-date on developments in the industry to help drive Expedia Group’s innovation
Experience and qualifications:
Excellent logical thinking, a very strong background (Bachelor’s/Master’s degree) in a quantitative field such as mathematics, physics, engineering, operations research, data science or similar and 4 years of experience in industry or equivalent.
Ability to communicate technical concepts concisely and clearly to senior level executives
Demonstrated ability to work through complex business problems and implement suitable solutions.
Ability to perform in a fast-paced environment and be comfortable with ambiguity
Experience creating and analysing drivers of performance metrics.
Experience with large data sets and proficient in SQL or other programming languages (R, Python)
Expertise in Web Analytics, such as Adobe Analytics or Google Analytics Premium
Advance knowledge of experimentation techniques like AB Tests, Causal Inference, multivariate testing
Ability to interpret machine learning models such as propensity modelling and forecasting techniques
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
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