Data Scientist II, Product Analytics

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 flexible work model (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 II, Product Analytics

Are you passionate about data, analytics, and working with top talent to tackle complex problems? If you are motivated to make an immediate impact on re-imaging travel by gleaning insightful recommendations that drive improvements, we want to speak to you!
 
 
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. 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!

In this role, you will:​

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

• Write code in a way that enables efficient and accurate translation into a data pipeline.

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

• 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.

• Is able to select appropriate measurement techniques and design and recommend both simple and complex experiments to answer business questions eg. Pre/post, AB, causal impact etc

• 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 that audience and filtering relevant information.

• Manage stakeholders with frequent communication, expectation management, meeting deadlines, and the backlog. 

Experience and Qualifications:

• 1-2+ years for Bachelors/Masters grad (preference for Mathematics or Scientific degree) OR 2+ years experience in a comparable data analytics role with relevant experience and theoretical statistics knowledge

• Experience with large datasets and proficiency in SQL and another programming language (e.g. R, Python)

• Curiosity, passion for making an impact, and strong attention to detail.

• 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. 

• Experience and/or understanding of the AB testing methodologies is a plus.

• Familiarity with data exploration and visualization tools like Tableau.

• Ability to perform in a high-pressure, dynamic environment and be comfortable with a high level of ambiguity.

• High energy and a can-do attitude.

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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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