Join to apply for the Data Scientist III, Product Analytics role at Expedia Group

Join to apply for the Data Scientist III, Product Analytics role at Expedia Group

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 III

Introduction To Team

The Traveler Business Team builds and drives growth for our global consumer businesses—Expedia, Hotels.com, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard.

We are looking for an experienced Data Scientist to jointhe Product Analyticsteam that is working on Property Experience and Offers.

As a Data Scientist, you will help identify insights to improve the traveler experience and drive product growth. You will collaborate with a multi-disciplinary team on a wide range of problems. You will bring scientific rigor and statistical methods to the challenges of business growth and product development

What You'll Do

• You will be expert with SQL, Python or R. Any other major machine learning programming language is a nice to have.
• You will design complex experiments and apply common methods such as linear and non-linear aggression, multivariate analysis.
• You will display advanced domain (i.e.,travel, online retail) knowledge, business acumen (understanding the underlying business objectives) and critical reasoning skills.
• You will know and apply data visualization principles consistently resulting in clear and consistent outcomes.
• You will influence action and results, through clear writing, in an accessible way for a wide audience. Structure presentations around a clear narrative and is concise in what's included. Present clearly and engagingly and anticipates questions.
• You willframeExpedia's most complex business problems as an analytics problem and concrete set of analytical tasks
• You will automate repeatable work to improve efficiency and scalability
• Provides guidance and coaching to other team members on statistical techniques
  
  

• University degreeinMathematics, Science, Statistics, Engineeringdegree with 2-4 years work experience or 4+ years of experience in a comparable data analytics role with relevant experience
• A high performing individual contributor who consistently applies - and sometimes enhances - the analytics capabilities,principlesand playbooks to solve complex business issues and opportunities
• Developand drivesignificant and sustained change and performanceimprovement from data-driven insights ina number ofdifferent areas or contexts
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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