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Machine Learning Scientist III - VRBO Pricing11105 Expedia, Inc. • Austin, Texas, United States
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Machine Learning Scientist III - VRBO Pricing

11105 Expedia, Inc.
  • US
    Austin, Texas, United States
  • US
    Austin, Texas, United States
Jetzt Bewerben

Über

About the Role Travel platform pricing and monetization has critical impacts on 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. As a Machine Learning Scientist III, you will research and build this pricing system and work on end‑to‑end pricing problems. You will collaborate with a strong team of machine learning scientists, data scientists, engineers, product managers, and operation analytics. 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 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. Experience & 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 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. Compensation Location: Austin Base salary range: $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00 based on ongoing, demonstrated, and sustained performance. Benefits Medical, dental, and vision coverage. Paid time off. Employee Assistance Program. Wellness and travel reimbursement. Travel discounts and International Airlines Travel Agent (IATAN) 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. Equal Employment Opportunity Statement Expedia Group 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

Sprachkenntnisse

  • English
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