Machine Learning Scientist III - Vrbo Pricing

Expedia Group•Austin, TX

2d•$146,000 - $204,500

About The Position

Expedia Group is hiring a Machine Learning Scientist III to research and build a scalable, robust pricing system for Vrbo. The system will use pricing to optimize business performance and can be steered toward desired outcomes, such as a chosen tradeoff between volume and profit. The work affects prices across business lines and influences significant revenue. This applied research role covers end-to-end pricing problems and involves collaboration with machine learning scientists, data scientists, engineers, product managers, and operations analytics. Areas of work include causal inference using machine learning, operations research and optimization, ML-based demand estimation, and experiment design with spillovers. Models will be deployed to production, with results evaluated objectively through A/B testing. The role is part of Expedia Group’s Technology Team, which builds products, services, and tools across the company using a data- and machine-learning-powered technology platform. The position is listed with a total cash range of $146,000 to $204,500 in Austin, with potential pay up to $233,500 based on sustained performance. Starting pay varies according to factors including location, budget, and the individual’s knowledge, skills, and experience.

Requirements

At least 3 years of industry experience.
A degree in Statistics, Operations Research, Economics, Computer Science, or an equivalent quantitative field.
Ability to analyze complicated data sets and generate insights that guide effective solution development.
Interest in solving meaningful real-world problems using principled techniques and practices.
Pragmatic problem-solving approach.
Understanding of modern machine-learning and data-science techniques and their mathematical underpinnings.
Ability to communicate clearly and effectively with cross-functional partners of varying technical levels.
Ability to collaborate in a team, respond sensitively to client needs, and build trusting stakeholder relationships.
Proficiency in a tool such as Python or Scala.
Proficiency with a big-data ecosystem such as Hadoop or Spark.

Nice To Haves

An advanced degree, including a PhD, in a quantitative field.
Expertise in one or more areas of machine learning, causal inference, or operations research.
Experience in pricing.
Experience with large-scale marketplace experiment design and analysis.

Responsibilities

Apply scientific skills, analytical thinking, and innovative thinking to learn new domains and turn ideas into working solutions.
Explain technical solutions and plans to stakeholders, drawing on a detailed understanding of business requirements.
Research and implement scalable machine-learning and data-science solutions end to end with engineering rigor.
Follow current technology and research and adapt them to the problem space.
Design success metrics for short-term and long-term performance.
Guide solutions using data insights and a deep understanding of business domains.
Collaborate with machine-learning and data-science teams to contribute to Expedia Group’s data-science culture.
Research and build pricing systems, and develop models that are deployed to production and evaluated through A/B testing.