Data Scientist II, 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, Analytics

Are you excited by the opportunity to Power global travel for everyone, everywhere? Do you want to redefine the way people plan, search for, and book their travel? At Expedia Group, we believe that travel brings the world together, and we are passionate about the endless possibilities. This role is a great opportunity join our EG SEO Insights team, which is working to design and build automation products that dynamically and efficiently provide the right information to travelers, while driving substantial growth in organic search traffic(SEO) and overall profitability through the synergistic use of Data, AI, and Technology.

Success as a Data Scientist revolves on your expertise in extracting actionable insights, shaping datasets, and conducting advanced exploratory data analysis. Your role includes crafting analytically robust solutions, applying statistics , and efficiently communicating technical nuances to both technical and non-technical teams. Your impact is underscored by your ability to frame business challenges as analytical problems, contributing to continuous improvement in this dynamic environment.

You will collaborate closely with Machine Learning scientists, Data Scientists, Software Engineers, SEO Specialists, Data Engineers, Product Managers, Senior Leaders, and other business stakeholders across various Expedia Group locations worldwide.

In this role, you will:

• You will extract data from multiple data sources and combine them into the required datasets for model building or analytics

• You will conduct exploratory data profiling techniques, product crosstabs, common summary descriptive statistics etc.

• You will pick analytically valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solve for the objective, not the ask

• You will write clean code that is maintainable, optimized, modular with good naming conventions for analytics or machine learning using software design principles, data structures, algorithms, and computer science fundamentals

• You will conduct hypotheses testing and design complex experiments

• You will apply common statistical methods such as linear and non-linear regression, multivariate analysis to interpret results

• You will become knowledgeable in Expedia Group visualization tools, creating complex calculations using advanced features

• You will manage stakeholders with frequent communication, expectation management, meeting deadlines and the backlog

• You will communicate with and influence partners and leadership teams

• You will clearly and confidently articulate decision-making rationale, solutions, methodologies, and frameworks to team members and both technical and non-technical partners

• You will optimize for cost (for cost and performance) the extraction of data from multiple data sources and combine them into the required datasets for model building or analytics

• You will frame business challenges as an analytics problem and concrete set of analytical tasks

Experience and Qualifications:

• Bachelor's, Master's, or PhD in Mathematics, Science, Statistics or related technical field; or equivalent related professional experience

• Relevant experience includes: Developed and drove significant and sustained change and performance improvement from data-driven insights. And/or built and maintained a data science project/product in production environments. Demonstrates competency in some areas of statistics and requires limited supervision

• You are proficient in Python, Scala or R, or any other major ML programming language

• Experienced in the fundamentals of big data architecture (streaming events, data lakes, analytics engines) and relational database models

• Apply knowledge of strong SQL