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Machine Learning Scientist III - VRBO Pricing

137 500 - 192 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Scientist III - VRBO Pricing (Machine Learning/Travel Pricing): Researching and building scalable pricing systems for a global travel marketplace with an accent on causal inference, operations research, demand estimation, and experiment design. Focus on deploying end-to-end models to production, optimizing volume-profit tradeoffs, and measuring business impact through A/B testing.

Location: Austin, Texas, United States

Salary: $137,500–$192,500 total cash annually, with potential pay up to $220,000 based on sustained performance.

Company

hirify.global operates global travel platforms and marketplaces including Expedia, Hotels.com, Vrbo, Travelocity, and Orbitz.

What you will do

  • Research and build scalable, robust pricing systems for travel marketplace products.
  • Develop and implement end-to-end machine learning and data science solutions with engineering rigor.
  • Apply causal inference, operations research, optimization, demand estimation, and experiment design methods.
  • Design short-term and long-term success metrics and evaluate results through A/B testing.
  • Translate business requirements into technical solutions and communicate plans to cross-functional stakeholders.
  • Collaborate with machine learning scientists, data scientists, engineers, product managers, and operations analysts.

Requirements

  • 3+ years of industry experience and an advanced degree in a quantitative field such as Statistics, Operations Research, Economics, or Computer Science; a PhD is preferred.
  • Expertise in one or more areas of machine learning, causal inference, and operations research.
  • Strong analytical skills and the ability to work with complicated datasets and modern data science methods.
  • Proficiency in Python, Scala, or a similar tool.
  • Experience with the big data ecosystem, including Hadoop or Spark.
  • Ability to communicate effectively with cross-functional partners and collaborate in a team environment.

Nice to have

  • Experience with pricing.
  • Experience designing and analyzing large-scale marketplace experiments.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • Paid time off and an Employee Assistance Program.
  • Wellness and travel reimbursement.
  • Travel discounts and IATAN membership.
  • Inclusive and accessible recruiting experience with disability accommodations available.

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