Machine Learning Scientist III
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The team is part of Growth Marketing Applied Research and uses neural network based models for algorithmic bidding.
The team works in the meta-bidding space on high profile cross-brand data pipelines and neural network algorithms for our largest partner, participating in ad based auctions with millions of dollars in spend and revenue per month.
What you'll do:
Support global roll-out of neural network algorithm across the business
Write code that is clean, maintainable, optimized, modular with good naming conventions and in a way that enables efficient and accurate translation into a data pipeline
Build, deploy and optimise ML models for algorithmic bidding.
Research and enhance our existing implementations.
Tackle business problems by applying fundamental machine learning models, algorithms and techniques using standard libraries
Independently conduct proper model performance evaluation without help
Spend a large amount of time to help improve model generalization and robustness
Apply a range of common statistical methods to solve business problems
You will communicate a compelling rationale and narrative to peers and partners
You will communicate across various levels of the organization, tailor messages to audience and filters relevant information
You will communicate a compelling rationale and narrative to peers and partners.
You will frame challenging business problems as a data science problem and concrete set of tasks
You will grow professionally; expand your skills and curiosity; be creative; also help others become their best.
Who you are:
Ph.D. or Master in Computer Science or a related quantitative fi
2+ years of industry experience specific to Data Science
Demonstrated ability to build and maintain multiple data science project/product in production environments
Have significant experience in at least one major ML programming language (Python, Scala…) and familiar with others
Solid knowledge of Machine Learning techniques and hands-on practice with Neural Networks with either Pytorch or Tensorflow
Solid understanding and experience in database technologies, including SQL and NoSQL
Experienced in industrial application of machine learning
Demonstrated understanding both frequentist and Bayesian statistics
You are adaptable, flexible and quick to learn new concepts
You have excellent written and verbal communication.
About Expedia Group
Expedia Group (NASDAQ: EXPE) 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™.
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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 to 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.
United Kingdom - London
ID # R-78082
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