Machine Learning Scientist III – Package Pricing

Jobtailor

Town of Texas (WI)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Expedia Group is seeking an experienced Machine Learning Scientist to design, develop, and deploy end-to-end ML solutions powering our products. You will collaborate with product, engineering, and analytics teams to translate business needs into scalable ML models and robust data pipelines.

Responsibilities include problem formulation, data exploration, feature engineering, training, evaluation, and production deployment, with emphasis on causal inference and pricing/demand estimation.

Qualifications

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related technical field, or equivalent practical experience.
5+ professional years of experience as a Machine Learning Scientist or in a similar applied ML role.
Experience with end-to-end model development and deployment in real-world products.
Proficiency in at least one programming language commonly used for ML, such as Python.
Experience with data processing frameworks, model training libraries, and model evaluation techniques.
Experience owning ML components or services in production.
Experience monitoring model performance and maintaining data pipelines.
Experience collaborating with engineering teams on APIs and data models.
Advanced degree in a quantitative discipline preferred.
Experience with pricing, revenue optimization, marketplace dynamics, or similar business problems preferred.
Experience designing and analyzing experiments, such as A/B testing, preferred.
Experience working with noisy or incomplete data preferred.
Experience building ML models using user behavior, segmentation, or contextual signals preferred.
Familiarity with causal inference methods or optimization techniques, such as mixed-integer programming, preferred.

Responsibilities

Design, build, and improve ML models powering Expedia Group products.
End-to-end model development including problem formulation, data exploration, feature engineering, training, evaluation, and deployment.
Develop robust data pipelines, data transformations, and data quality checks for ML models.
Partner with product, engineering, and analytics teams to translate business problems into ML solutions.
Define success metrics and run experiments to validate impact.
Safely integrate and operate AI/ML-enabled solutions in real-world products.
Contribute to system design, including model-serving APIs and supporting data models.
Create documentation and best practices supporting reuse and scalability across product domains.
Work on pricing systems involving causal inference, mixed integer programming, and ML-based demand estimation.

Skills

End-to-End ML development

Python programming

Experiment design

A/B testing

Data quality checks

Collaboration with cross-functional

Education

Bachelor's degree in CS/Stats/Math or related

Advanced degree preferred

Tools

APIs

Data pipelines

ML frameworks

Model training libraries

Job description

Design, build, and improve machine learning models and systems powering Expedia Group products
Perform end-to-end model development, including problem formulation, data exploration, feature engineering, training, evaluation, and production deployment
Develop robust data pipelines, data transformations, and data quality checks for ML models and experimentation
Partner with product, engineering, and analytics teams to translate business problems into ML solutions
Define success metrics and run experiments to validate impact
Safely integrate and operate AI/ML-enabled solutions in real-world products
Contribute to system design, including model-serving APIs and supporting data models
Create documentation and best practices supporting reuse and scalability across product domains
Work on pricing systems involving causal inference, mixed integer programming, and ML-based demand estimation

Requirements

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related technical field, or equivalent practical experience
5+ professional years of experience as a Machine Learning Scientist or in a similar applied ML role
Experience with end-to-end model development and deployment in real-world products
Proficiency in at least one programming language commonly used for ML, such as Python
Experience with data processing frameworks, model training libraries, and model evaluation techniques
Experience owning ML components or services in production
Experience monitoring model performance and maintaining data pipelines
Experience collaborating with engineering teams on APIs and data models
Advanced degree in a quantitative discipline preferred
Experience with pricing, revenue optimization, marketplace dynamics, or similar business problems preferred
Experience designing and analyzing experiments, such as A/B testing, preferred
Experience working with noisy or incomplete data preferred
Experience building ML models using user behavior, segmentation, or contextual signals preferred
Familiarity with causal inference methods or optimization techniques, such as mixed-integer programming, preferred

Core Competencies

Demonstrates expertise in end-to-end machine learning model development, including data exploration, feature engineering, and deployment. Proficient in collaborating with cross-functional teams to translate business challenges into effective ML solutions while ensuring robust data pipelines and model performance monitoring.

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