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Machine Learning Scientist III - Package Pricing
- Seattle, Washington, United States
- Seattle, Washington, United States
Über
As a Machine Learning Scientist III, you will help define this system, tackling end‑to‑end pricing problems alongside a sharp team of ML scientists, data scientists, engineers, product managers, and operations analysts. You will contribute to research areas such as causal inference, mixed integer programming, and ML‑based demand estimation.
In this role, you will:
Design, build, and improve ML models and systems that power Expedia Group products, with a focus on measurable business and customer impact.
Perform end‑to‑end model development, including problem formulation, data exploration, feature engineering, training, evaluation, and deployment in production environments.
Develop robust data pipelines, data transformations, and data quality checks to ensure high‑quality input signals 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 that improve outcomes, bringing familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real world products.
Contribute to system design (including model‑serving APIs and supporting data models), documentation, and best practices that enable reuse and scalability across multiple product domains.
Minimum Qualifications
Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related technical field, or equivalent practical experience.
Professional experience as a Machine Learning Scientist or in a similar applied ML role, working on 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) and experience working with data processing frameworks, model training libraries, and model evaluation techniques.
Experience owning ML components or services in production, including monitoring model performance, maintaining data pipelines, and collaborating with engineering teams on APIs and data models.
Preferred Qualifications
Advanced degree (master’s or Ph.D.) in a quantitative discipline (e.g., Engineering, Statistics, Economics, or related fields).
Experience working on pricing, revenue optimization, marketplace dynamics, or similar business problems.
Experience designing and analyzing experiments (e.g., A/B testing) and working with noisy or incomplete data.
Experience building ML models using user behavior, segmentation, or contextual signals.
Familiarity with causal inference methods or optimization techniques (e.g., mixed‑integer programming) in applied settings.
The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group offers a wide range of benefits to support employees and their families, including medical/dental/vision coverage, paid time off, an Employee Assistance Program, wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E‑Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I‑9 to confirm work authorization.
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Sprachkenntnisse
- English
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