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    Data Scientist II, Product Analytics - London, United Kingdom - Expedia Group

    Expedia Group
    Expedia Group London, United Kingdom

    1 week ago

    Default job background
    Full time
    Description

    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

    What You'll Do:​

    • 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.
    • 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.

    Who You Are:

    • Bachelor's or Master's or Ph.D. in Mathematics, Science, Statistics, or in a related technical field; or equivalent related professional experience
    • 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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