Data Scientist II (Auctions Team) - #229511

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 ***************@Tripadvisor.com and let us know the nature of your request.

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