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Machine Learning Scientist III (Pricing)

137 500 - 192 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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 (Pricing): Researching and building scalable pricing systems for Vrbo that optimize business performance across volume and profit tradeoffs with an accent on causal inference, operations research, demand estimation, and experiment design. Focus on deploying end-to-end machine learning models to production, designing success metrics, and measuring results 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 is a global travel company operating consumer brands, a B2B network, and travel advertising businesses, including Vrbo.

What you will do

  • Research and build a scalable, robust pricing system for Vrbo that optimizes business performance across volume and profit tradeoffs.
  • 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 with spillovers to pricing problems.
  • Deploy models to production systems and evaluate results through A/B testing and short- and long-term success metrics.
  • Translate business requirements into technical solutions and communicate plans to cross-functional stakeholders.
  • Collaborate with machine learning, data science, engineering, product management, and operations analytics teams.

Requirements

  • 3+ years of industry experience and a degree in Statistics, Operations Research, Economics, Computer Science, or an equivalent quantitative field.
  • Ability to analyze complicated datasets and generate insights that guide solution development.
  • Understanding of modern machine learning and data science techniques and their mathematical foundations.
  • Strong problem-solving, analytical, scientific, and innovative thinking skills.
  • Clear and effective communication with cross-functional partners at varying technical levels.
  • Ability to collaborate effectively, understand client needs, and build trusted stakeholder relationships.
  • Proficiency in one or more tools such as Python or Scala.
  • Proficiency with the big data ecosystem, including Hadoop or Spark.

Nice to have

  • Advanced degree or PhD in a quantitative field.
  • Expertise in one or more areas of machine learning, causal inference, or operations research.
  • Experience with pricing.
  • Experience designing and analyzing large-scale marketplace experiments.

Culture & Benefits

  • Collaborative environment focused on scientific research, applied machine learning, and data science.
  • 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 accommodation support for applicants with disabilities.

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