Senior Machine Learning Scientist

Details of the offer

You will need to login before you can apply for a job.
Employer: Expedia Group
Location: Seattle, Washington, United States
Salary: USD 173,000.00 - 242,500.00; potential up to USD 277,000.00
Closing date: 10 Feb 2025
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 global hybrid work setup (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.
Introduction to Team
The InsurTech machine learning team at Expedia Group utilizes our suite of insurance and related products to give travelers confidence in their travel plans.
The team`s responsibilities cover all of Expedia Group`s lines of business including Flights, Cars, Packages, and Lodging.
In addition to traditional travel insurance, we also develop innovative products offering travelers protection against events such as adverse weather and flight price changes.
We work closely with other teams in the Data & AI organization to continually improve our tools, processes, and platforms for building and deploying industry leading machine learning solutions.
Position Overview:
The Senior Machine Learning Scientist will be a technical leader on the team, mentoring junior members as you work together to deliver major projects across our scope.
You will own the end-to-end delivery of projects contributing to significant financial impact.
You will utilize a variety of machine learning techniques to solve challenging business problems.
You will work with a dynamic group of product managers, actuaries, engineers, and scientists to achieve Expedia`s business goals.
In this role, you will: Design, implement, and maintain end-to-end model pipelines based on a detailed understanding of business requirements.Act as a technical lead, owning projects across the team while mentoring junior members.Independently manage stakeholders, with frequent communication and expectation management to meet deadlines and minimize surprises.Develop a deep understanding of the travel insurance industry and propose innovative solutions to drive value.Stay abreast of developments in machine learning via publications and conferences.Experience and qualifications: Bachelor's, Master`s, or PhD degree in a quantitative field.5 years of industry experience as a Data Scientist or similar role.Expert in the Python data science stack.Significant experience using Spark for production machine learning pipelines.Demonstrated ability to build, deploy and maintain multiple machine learning projects performing live inference in production environments.Strong grasp of statistical concepts and significant industry experience with hypothesis testing.The total cash range for this position in Seattle is $173,000.00 to $242,500.00.
Employees in this role have the potential to increase their pay up to $277,000.00, 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.
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 Expediareg;, Hotels.comreg;, Expediareg; Partner Solutions, Vrboreg;, trivagoreg;, Orbitzreg;, Travelocityreg;, Hotwirereg;, Wotifreg;, ebookersreg;, CheapTicketsreg;, Expedia Group Media Solutions, Expedia Local Expertreg;, CarRentals.com, and Expedia Cruises.
2024 Expedia, Inc. All rights reserved.
Trademarks and logos are the property of their respective owners.
CST: 2029030-50
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.

#J-18808-Ljbffr


Nominal Salary: To be agreed

Source: Jobleads

Job Function:

Requirements

Principal Scientist, Kuiper Capacity Planning - Simulation & Optimization

Principal Scientist, Kuiper Capacity Planning - Simulation & OptimizationProject Kuiper is an initiative to increase global broadband access through a conste...


Amazon - Washington

Published a month ago

Principal Applied Scientist, Prime Video Core Playback

Job ID: 2693880 | Amazon.com Services LLC At Prime Video we are inventing a customer-centric future that offers more choice and flexibility than traditional ...


Amazon - Washington

Published 6 days ago

Principal Applied Scientist, Amazon Prime

Job ID: 2846094 | Amazon.com Services LLC Amazon Prime's Science organization leads the Research & Development towards innovation for Amazon Prime. Amazon Pr...


Amazon - Washington

Published 6 days ago

Principal Reliability Scientist

We are designing the future. If you are in quest of an iterative fast-paced environment, where you can drive innovation through scientific inquiry, and provi...


Amazon - Washington

Published a month ago

Built at: 2025-01-22T04:56:39.841Z