Machine Learning Scientist III - Package Pricing

· Remote

Location

Remote

Type

Full Time

Job Description

Expedia GroupJobs
Machine Learning Scientist III - Package Pricing

Machine Learning Scientist III - Package Pricing

Reposted 11 Hours Ago
Be an Early Applicant
Seattle WA USA
Hybrid
138K-220K Annually
Mid level
AdTech • eCommerce • Information Technology • Travel • Generative AI
Powering global travel for everyone everywhere.
The Role
As a Machine Learning Scientist III design and improve ML models for pricing systems impacting revenue. Collaborate across teams to translate business problems into solutions ensuring high-quality data and model performance in production.
Summary Generated by Built In

Expedia Group brands power global travel for everyone everywhere. We design cutting-edge tech to make travel smoother and more memorable and we create groundbreaking solutions for our partners. Our diverse vibrant and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel people must come first. Guided by our Values and Leadership Agreements we foster an open culture where everyone belongs differences are celebrated and know that when one of us wins we all win.

We provide a full benefits package including exciting travel perks generous time-off parental leave a flexible work model (with some pretty cool offices) and career development resources all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Machine Learning Scientist III-Package Pricing 

Introduction to the team  

As part of the Machine Learning Science organization at Expedia Group you'll help build a scalable intelligent pricing system that directly shapes how we balance volume and profitability across multiple lines of business. The decisions this system drives influence billions of dollars in revenue and the work is visible at the highest levels of the company. 

As a Machine Learning Scientist III you'll help define this system. You'll tackle end-to-end pricing problems alongside a sharp team of ML scientists data scientists engineers product managers and operations analysts. You will contribute to an area of active scientific research: 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/MLenabled solutions that improve outcomes including 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 PhD) 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 $137500.00 to $192500.00. Employees in this role have the potential to increase their pay up to $220000.00 which is 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 is proud to offer a wide range of benefits to support employees and their families including medical/dental/vision paid time off and an Employee Assistance Program. To fuel each employee’s passion for travel we offer a wellness & travel reimbursement travel discounts and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes TIME Disability:IN and others.

Expedia Group's family of brands includes: Brand Expedia® Hotels.com® Expedia® Partner Solutions Vrbo® trivago® Orbitz® Travelocity® Hotwire® Wotif® ebookers® CheapTickets® Expedia Group™ Media Solutions Expedia Local Expert® CarRentals.com™ and Expedia Cruises™. © 2024 Expedia Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

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 veteran status or any other characteristic protected by law. 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.

Skills Required

  • Bachelor's degree in Computer Science Statistics Mathematics or a related technical field
  • Professional experience as a Machine Learning Scientist or in a similar applied ML role
  • Proficiency in at least one programming language commonly used for ML (such as Python)
  • Experience owning ML components or services in production

Expedia Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Expedia Group and has not been reviewed or approved by Expedia Group.

  • Healthcare StrengthFeedback suggests healthcare coverage is comprehensive and inclusive spanning medical dental vision mental health disability and life insurance. Inclusive coverage extends to partners regardless of gender or marital status with access to services like EAP and Talkspace.
  • Parental & Family SupportFeedback highlights generous parental leave alongside adoption and surrogacy assistance childcare benefits and caregiver leave. These family-focused policies are frequently credited with supporting balance at work and home.
  • Wellbeing & Lifestyle BenefitsFeedback points to valued travel discounts and reimbursements wellness programs onsite gyms and an Employee Assistance Program as distinctive perks. Commuter benefits and flexible work arrangements further enhance day-to-day wellbeing.

Expedia Group Insights

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The Company
HQ: Seattle WA
16000 Employees
Year Founded: 1996

What We Do

Expedia Group powers travel for everyone everywhere through our global platform. Driven by the core belief that travel is a force for good we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia® Hotels.com® Expedia® Partner Solutions Vrbo® trivago® Orbitz® Travelocity® Hotwire® Wotif® ebookers® CheapTickets® Expedia Group™ Media Solutions Expedia Local Expert® CarRentals.com™ and Expedia Cruises™.

Why Work With Us

As travelers and technologists we are passionate about making travel more seamless accessible and memorable. We embrace different perspectives celebrate new ideas and empower every Expedian to drive meaningful change. The experiences we create bridge divides and broaden horizons – helping create unforgettable memories through travel.

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Date Posted

05/07/2026

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