Data Scientist II (Auctions Team)

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.

Tripadvisor is the web's leading travel information site. At Tripadvisor, the Data Science/Machine Learning Team creates systems that influence the travel decisions of millions of people per day. It applies cutting edge machine learning techniques to a wide variety of areas. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel!

The Tripadvisor Data Science Team is looking for an exceptional experienced individual to help lead the design and building next generation systems to understand our travelers and products to improve customer experience. Such work will allow a significant improvement in our ability to offer to travelers the broadest, most relevant travel products. This individual will have the opportunity to lead projects on the team, including those related to our core business of online ad auctions.

What You'll Do:

Seek out new opportunities to apply data science and machine learning to the business Hotels/Accommodation team online ad auction.

Collaborate with other teams to solve problems and identify opportunities, managing priorities and deadlines

Lead the design of machine learning models to solve a variety of core business problems in valuing and monetizing our ad traffic

Automate ETL pipelines

Design, implement, test, deploy, and maintain scalable ML models and systems in production.

Communicate progress and interpretation of experimental results to technical and business stakeholders

Design AB tests and analyze their results

Discover new ways to analyze and interpret the data

Learn new skills and share your own knowledge

Work independently as well as collaborating with others.

Skills and Experience:

Masters in Computer Science, Engineering, Statistics, Economics or related field preferred

Ability to write complex SQL queries

rack record of leading the deployment and maintenance of models

3+ years of relevant, practical experience

Knowledge of AB test design and analysis

Experience solving problems in some of the following areas: online ad auctions, binary classification problems, user LTV

Experience with distributed computing: Snowflake, Apache Spark, Hadoop & Hive

Experience building data pipelines with tools such as Kubeflow, Argo, Jenkins

Experience deploying and maintaining models in cloud environments such as Amazon AWS

Experience with model tracking and deployment tools such as MLFlow, Seldon, and Sagemaker

Experience following Software Engineering best-practices including source control, code reviews, CI/CD, and automated testing

Strong communication capabilities with both technical and non-technical audiences.

If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request.

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