Data Scientist III - Analytics
Expedia Group
Spain - MadridPosted 3 days agoDiscoveredMatch locked
Full time2+ years exp
About the role
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Introduction to the team
The online travel market never stands still. Within our B2B team we're smack in the middle of it! We are an entrepreneurial start-up operating in the B2B market within the world's biggest travel company. We build the tools and technology that help millions of travelers find the perfect hotels for their next trips. We are the largest and fastest-growing travel affiliate network, working with over 10,000 partners in 33 countries to turn their web traffic into hotel bookings and loyal customers.
The Data Scientist III (Revenue Optimization - Analytics/Strategy) is an exciting role within our B2B Analytics Team. This person will primarily be responsible for collaborating with commercial stakeholders and Machine Learning teams to design Revenue Optimization initiatives that enhance competitiveness and accelerate revenue growth for Expedia's multi-billion-dollar B2B business. Key responsibilities include careful analysis of elasticity curves to understand implications of Revenue Optimization actions, deep understanding of the impact that our algorithms have on the business, and translate stakeholders' needs to technical requirements. This person will work in a small but extremely impactful team, in charge of advising C-level leaders on Revenue Optimization strategy and tactics.
In this role, you will
- Extract and combine data from multiple sources to support model building and analytics.
- Work with commercial stakeholders and Machine Learning teams to design and implement tactical actions that boost both our top- and bottom-line.
- Collaborate with stakeholders to iteratively refine project scope and deliverables.
- Analyze elasticity curves to take actions aimed at optimizing our partners' performance
- Deep dive into matters such as price, profitability and competitiveness, all this supported by data and statistics
- Continuously learn and apply new Data Science approaches to improve project outcomes.
Experience and Qualifications:
- You are a critical thinker with a curious mindset and strong problem-solving abilities.
- You are eager to find business opportunities by analyzing patterns
- You are proficient in
SQL and Python
•
Probability and statistics
are part of your daily life at work
- You understand how
Machine Learning Algorithms
work under the hood
- You are experienced in communicating with both technical and non-technical teams
- You are a collaborative team player with a track record of contributing to impactful projects.
- You are educated to degree level and have hands-on experience in Data Science or Analytics (4+ years for Bachelors/Masters or 2+ years for PhDs)
- You can work in a high-pressure environment with billion dollars at stake
- You are comfortable constructively challenging colleagues and the status quo to drive continuous performance improvement
The total cash range for this position in Madrid is €55,500.00 to €78,000.00. Employees in this role have the potential to increase their pay up to €89,000.00, 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.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life .
You can find the benefits for this location and any collective agreement that may apply here .
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation .
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/ .
Equal Opportunity
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.
Not included in the source posting: qualifications.
Skills
machine-learningpythonsql
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.