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About the Role

The Machine Learning Scientist team is building a scalable and robust system to enable pricing as a lever to optimize business performance. This role will research and build this pricing system, working on end-to-end pricing problems and contributing to active scientific research in areas like causal inference, operations research, and ML-based demand estimation. Models will be deployed to production systems and measured via A/B testing.

Responsibilities

Apply solid scientific skills, strong analytical and innovative thinking to quickly learn new domains and turn innovative ideas into working solutions
Articulate technical solutions and plans to stakeholders based on detailed understanding of business requirements.
Research and implement scalable machine learning and data science solutions end to end with engineering rigor.
Follow the latest technology and research and be able to customize them to our problem space.
Design success metrics for both short-term and long-term performance.
Guide solutions using data insights based on deep understanding of business domains.
Collaborate with other machine learning and data science teams to build a great data science culture in Expedia Group.

Requirements

3+ years industry experience and an advanced degree (PhD preferred) in a quantitative field, such as Statistics, Operations Research, Economics, Computer Science, or equivalent quantitative fields.
Expert in one or multiple areas of machine learning, causal inference, and operations research.
Comfortable to analyze complicated data sets to generate insights to guide effective solution development.
Passion for solving exciting and meaningful real-world problems using principled techniques and practices.
Focus on problem solving with pragmatical methods.
Understanding of modern machine learning and data science techniques and their mathematical underpinning.
Ability to communicate clearly and effectively to cross functional partners of varying technical levels.
Collaborates well in a team and sensitive to clients' needs, while developing warm relationships and building trust with stakeholders.
Proficiency in one of the tools such as Python, Scala, etc
Proficiency with big data ecosystem (Hadoop/Spark).
Experience in pricing is a plus.
Experience with large scale marketplace experiment design and analysis is a plus.

Skills

Machine Learning
Causal Inference
Operations Research
Python
Scala
Hadoop
Spark

Location

Austin

Work Type

Full-time

Experience Level

3+ years industry experience

Education Level

Advanced degree (PhD preferred) in a quantitative field

Salary/Compensations

$137,500.00 - $192,500.00
Potential to increase pay up to $220,000.00 based on sustained performance.

Benefits

Medical coverage
Dental coverage
Vision coverage
Paid time off
Employee Assistance Program
Wellness reimbursement
Travel reimbursement
Travel discounts
International Airlines Travel Agent Network (IATAN) membership

About the Company

Expedia Group helps travelers explore the world, one journey at a time.
Expedia Group is 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.
Our mission is to power global travel for everyone, everywhere.
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.

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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.
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.