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Machine Learning Scientist III - VRBO PricingExpedia , Inc. • Austin, Texas, United States
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Machine Learning Scientist III - VRBO Pricing

Expedia , Inc.
  • US
    Austin, Texas, United States
  • US
    Austin, Texas, United States
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À propos

Overview Travel platform pricing and monetization has critical impacts on the business health. The Machine Learning Science team is building a scalable and robust system to enable pricing as a lever to optimize business performance. The system should be steered based on desired outputs, such as a given tradeoff between volume and profit. Our work directly decides prices across different lines of business, influencing multi‑billion dollar revenue.
Role Overview: Machine Learning Scientist III As a Machine Learning Scientist III, you will research and build this pricing system. You will work on end‑to‑end pricing problems and collaborate with a strong team of machine learning scientists, data scientists, engineers, product managers, and operation analytics. You will contribute to an area of active scientific research: causal inference using machine learning methods, operations research and optimization, ML‑based demand estimation, experiment design with spillovers. The role is an applied research position – your models will be deployed to production systems and measured objectively through AB 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 a 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.
Qualifications
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 analyzing 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 pragmatic 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 is sensitive to clients' needs, while 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.
Compensation The total cash range for this position in Austin is $137,500 to $192,500. Employees in this role have the potential to increase their pay up to $220,000 based on ongoing, demonstrated, and sustained performance. Pay ranges may be modified in the future.
Benefits We provide a full benefits package, including medical/dental/vision, paid time off, Employee Assistance Program, wellness and travel reimbursement, travel discounts, and an International Airlines Travel Agent membership.
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 portal.
Equal Opportunity Statement 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.
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  • Austin, Texas, United States

Compétences linguistiques

  • English
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