Machine Learning Scientist II

Benefits

We provide a full benefits package, including travel perks, generous time‑off, parental leave, a flexible work model, and career development resources to support your growth.

• Develop and implement ML models for dynamic pricing, demand forecasting, and revenue optimization.
• Collaborate on end‑to‑end solutions from data preprocessing to model deployment in production.
• Participate in A/B testing and experiment design to continuously improve our algorithms.
• Analyze complex datasets to derive actionable insights for business stakeholders.
• Contribute to technical capabilities by staying current with the latest ML techniques and technologies.
• Collaborate with cross‑functional teams to understand business requirements and translate them into technical solutions.
• Clearly communicate your work, methodologies, and results to both technical and non‑technical audiences.
• Interact with multiple areas of our technology stack to push models to production.

• Ph.D. (preferred) or master’s degree in computer science, machine learning, mathematics/statistics, or another related field.
• Proficiency in Python with experience using PySpark and common ML libraries and frameworks (e.g., scikit‑learn, Tensor Flow, Keras).
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms (AWS, GCP).
• Solid understanding of common machine learning algorithms and of statistics and probability theory.
• Excellent problem‑solving skills and ability to learn new concepts quickly.
• Strong communication skills and ability to explain complex technical concepts to non‑technical stakeholders.
• Enthusiasm for tackling challenging problems and contributing to innovative solutions.
• Adaptability and willingness to work in a fast‑paced, evolving environment.
• Experience applying ML to real‑world problems (2 years industry experience desirable but not required).
• Comfortable with ambiguity and an open‑ended problem scope.

Expedia Group is committed to creating an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

We provide accommodations for applicants with disabilities or other physical or mental health conditions. Please contact our Recruiting Accommodations Team for assistance.