Senior ML Scientist – Pricing & Optimization

JobCubby; Austin, Northern (TX, KY); Hybrid; USD 138,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Employee Assistance Program

Wellness and travel reimbursement

Travel discounts

IATAN membership

Job summary

Expedia Group in Austin is seeking a Machine Learning Scientist III to design and build a scalable pricing system that informs multi-billion dollar revenue decisions. You will work end-to-end on pricing problems, collaborating with ML scientists, data scientists, engineers, product managers, and analysts.

Your models will be deployed to production and validated through AB testing. You will research causal inference, operations research, and ML methods, contributing to active research while

Qualifications

• 3+ years industry experience and an advanced degree (PhD preferred) in a quantitative field.
• Expert in one or multiple areas of machine learning, causal inference, and operations research.
• Comfortable to analyze 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 pragmatical 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 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.

Responsibilities

• Apply solid scientific skills to learn new domains and turn innovative ideas into working solutions.
• Articulate technical solutions 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 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.

Skills

Machine learning

Causal inference

Operations research

Data analysis

Python

Scala

Hadoop

Spark

Pricing

Education

PhD preferred

Master's degree in quantitative field

Tools

Python

Scala

Hadoop

Spark

Job description

Expedia Group in Austin is seeking a Machine Learning Scientist III to design and build a scalable pricing system that informs multi-billion dollar revenue decisions. You will work end-to-end on pricing problems, collaborating with ML scientists, data scientists, engineers, product managers, and analysts.

Your models will be deployed to production and validated through AB testing. You will research causal inference, operations research, and ML methods, contributing to active research while