Remote: SAP ABAP Developer (236330) – REMOTE

Black Diamond Networks
  • Post Date: 3 stycznia, 2025
    • 38996
  • Applications 0
  • Views 6
Job Overview

logoExpedia 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.

Introduction to team

Our Expedia Product & Technology division builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A unified, singular technology platform powered
by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction.

The Machine Learning Scientist II role sits on the Lodging Search Machine Learning team in the Expedia Product & Technology division of Expedia Group. At the heart of the 3-side marketplace (the traveler, the property
owners and the platform), this team develops and optimizes ranking models with state-of-the-art machine learning techniques to power lodging search and personalized lodging ranking/recommendations for the multiple brands
and lines of business in our portfolio.

In this role, your expertise and passion for innovation, developing cutting-edge technology and implementing industry-leading solutions, will improve the experience of millions
of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems and your results will be measured objectively via A/B testing, directly impacting our business
results. We collaborate closely with the analytics, product, and engineering teams.

In This Role, You Will

Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analyses, formulate machine learning problems, and build
effective models. Partner with data and software engineering teams to deliver your solutions into production. Document the technical details of your work. Present your ideas and results to product management, stakeholders,
and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company.

Who You Are

You have a master’s degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or related technical field; or equivalent related professional experience You have solid understanding of
modern machine learning techniques, statistics, and hypothesis testing. Preferred: You have experience in recommender systems. You have hands-on experience with data wrangling, feature engineering, model building, and visualization
You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL-like query languages for data extraction, transformation, and loading Preferred: You have
experience working with large data sets in a distributed computing environment such as Spark. You have passion for solving interesting and impactful real-world problems using principled techniques and best practices.

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, religion, gender, sexual orientation, national origin, disability or age.

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