Data Scientist II, Analytics

1 month ago


London, United Kingdom Expedia Group Full time

Data Scientist II, Analytics

If you’re as excited as we are about using data to drive positive change and build an outstanding customer experience, this may be the role for you

We are looking for a hardworking and intelligent individual to fill the Data Scientist II role in the Marketing Analytics team. You will provide powerful insights that shape the way the various EG brands reward their base of loyal members. This is a great opportunity to join a fun, exciting, data driven and customer centric company to partner with its Loyalty team. You will be instrumental in helping define an engaging and rewarding loyalty strategy, powered by customer insight

As an Individual Contributor you will partner closely with your stakeholders and contribute to the improvement of many different areas within the loyalty programme including: the set-up and analysis of A/B testing, exploratory deep dives into members’ behavior, and devising novel methods to test changes to the programme when A/B setups are not possible. You will also have the opportunity to produce and deliver presentations to influence the thinking of senior people in the Loyalty team.

What you’ll do:

  • Apply advanced analytics techniques, statistical knowledge, 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

  • Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations

  • Display a true passion for data, analytics, online marketing and travel and possess a strong commercial awareness

  • Prioritize multiple tasks and workstreams simultaneously and own projects end to end

Who you are:

  • Bachelor's degree, Master’s degree, PhD; Mathematics, Science, Statistics, Economics degree; or equivalent related professional experience

  • 2+ years experience in a similar analytical role

  • Strong SQL skills; demonstrated experience of using R / PySpark / Python to structure, transform and visualize big data, and a willingness to learn new frameworks and languages required for the task

  • A dynamic individual contributor who consistently applies – and often enhances – analytical resources, principles and playbooks to address business problems and realize opportunities

  • Experience partnering with other teams and disciplines (product, engineering, trategy, etc.) and collaborating with other analytics teams to deliver projects

  • Good knowledge of developing, and delivering, presentations that help people understand the insight from sophisticated analytics



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