Staff Data Scientist

Staff Data Scientist

Are you passionate about data and analytics? Do you want to be at the forefront of a truly customer-centric organization?

We are looking for a Staff Data Scientist to join our team. As a core member of our team, you will be working with data and applying advanced data science techniques in a fun and stimulating environment. There are a variety of exciting projects that you will work on to drive business strategy. Your insights will be used to enhance our customer value proposition, improve customer acquisition and engagement, drive customer lifetime value, deliver an amazing customer experience and better understand the customer behavior across multiple brands own by Expedia Group. This is an exciting opportunity for a team-player who wants to be a central part of a truly customer focused team.

The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way.

What you'll do:

• Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders’ decision-making
• Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions
• Own the relationships with our stakeholders, and work autonomously to prioritize and execute on the most impactful analytics projects
• Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations
• Prioritize multiple tasks and workstreams simultaneously and own projects end to end

Who you are:

• Bachelor's, Master’s, PhD; Mathematics, Science, Statistics, Economics degree; or equivalent related professional experience is applicable
• 5+ years experience in a similar analytical role
• Strong SQL skills; demonstrated experience of using R/PySpark to structure, transform and visualize big data, and a willingness to learn new frameworks and languages required for the task
• Display a true passion for data and analytics as well as possessing a strong commercial awareness
• A high performing individual contributor who consistently applies – and often enhances – the analytical capabilities, principles and playbooks to solve complex business issues and opportunities
• Develops and drives significant and sustained change and performance improvement from data driven insights in a number of different areas or contexts
•  Experience partnering with senior management and collaborating with other teams (e.g. Product, Engineering, Strategy) to deliver projects
• Experience of developing, and delivering, presentations that help people understand the insight from sophisticated analytics
• Ability to perform in a high-pressure, dynamic environment and be comfortable with a high level of ambiguity.