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 global hybrid work setup (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 pioneer the future of travel? 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.

The InsurTech team at Expedia is responsible for managing the InsurTech P&L and driving its strategy and business development efforts across the Expedia Group globally. We deliver millions of dollars of incremental revenue making a direct and meaningful impact to the company's bottom-line. At the same time, we increase customers’ confidence to book travel and make difference in their lives.

Introduction to team

This role is an excellent opportunity to join the InsurTech Analytics Team where we are passionate about delivering outstanding user experience! We power and deliver product analytics, user behavior analysis, experimentation, and visualization services that enable highly tailored and optimized experiences using the scientific methods and applied insights. We’re looking for a highly motivated individual to join our team to help us formulate business strategy and to deliver impactful analytics insights. If you enjoy using data to build business cases, solve business problems, improve ongoing business activities, and to work on a team that functions as the “business owner” you will fit right in. In this role, you will use your analytical and business skills to inspire product, engineering, finance and customer support, and our strategic partners to prioritize, implement and scale our product ideas

In this role, you will:

• Provide strategic analysis and insights for the InsurTech business, while actively looking for opportunities to grow the business

• Own end to end process in designing and running experiments (A/B tests); proactively see opportunities and recommend new feature for test and learn; proactively uncover opportunities and recommend new features for test and learn; evaluate and apply alternative methods to supplement randomized testing

• Performs advanced statistical analyses on experimental data to identify trends and derive actionable insights

• Apply your expertise in data modeling, quantitative analysis, data mining, data visualization with a goal of improving customer experience and business results with a religious focus on impactful analytics, steward product team to drive insights

• A high performing individual contributor who consistently applies and enhances the analytics capabilities, best practices and processes to solve complex business issues and identify opportunities

• Work with multiple stakeholders, manage product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies

• Effectively communicates statistical findings and insights to stakeholders and collaborate

• Contribute to tracking measures of success and supporting metrics, build accurate and easy to consume dashboards/reports

• Collaborate with the product teams in goal setting, opportunity sizing, product performance review and strategy planning

• Structure problems, extract and analyze data, and present the findings to corporate leadership and internal stakeholders

• Apply your knowledge with Python, or R, or any other major ML programming language to generate insights and solve business problems using ML

Experience and qualifications:

• 3+ years of experience in data mining, statistical modelling, and data analysis, preferably in ecommerce industry, with at least Bachelor’s in mathematics, engineering, science, statistics or technical degree

• Strong analytical/modeling skills with ability to convert raw data into measurable insights

• Expertise working with large data sets and proficiency in SQL, Excel

• Experience in at least one programming language (R/Python)

• Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques

• Experience with digital analytics tools such as, Adobe Analytics, and experience with BI tools such as Tableau, Power BI

• Experience with web analytics tools such as Adobe Analytics or Google Analytics a plus

• Intermediate (or better) knowledge of Statistics

• Able to structure / work on data exploration problems, with innovative ways and solutions, bringing to bear strong reporting and data visualization skills

• Excellent verbal, written, and data visualization skills

The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.