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Senior Marketing Data Analyst
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**Job Overview**
Tripadvisor Llc is looking for an experienced individual to join our dynamic and fast-paced team as a Senior Marketing Data Analyst. As a key member of our data science/machine learning team, you will apply your analytical skills to support our performance marketing efforts.
In this role, you will work on a wide variety of problem spaces including bidding for online advertising, customer modeling, experimental design, revenue optimization, attribution, and recommendations. You will have access to the newest development tools and huge data sets. Your solutions will be deployed online, and you will observe the impact of your work in real-time as you help the company grow.
We are looking for someone who is independent, curious, and motivated, with excellent communication skills. You will collaborate with a diverse multidisciplinary team of data scientists, analysts, software engineers, and product managers. You'll be encouraged to take ownership of your projects and find new opportunities and problems where machine learning could be applied to improve the business.
About Performance Marketing at Tripadvisor
Tripadvisor is the web's leading travel information site. Our performance marketing team creates systems that influence the travel decisions of millions of people per day. We apply cutting-edge machine learning techniques to areas such as recommenders, online advertising, vision, text processing, and natural language processing. 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.
- Use machine learning models to solve a variety of core business problems across performance marketing.
- Seek out new opportunities to apply data science and machine learning in the performance marketing space.
- Prototype, evaluate, deploy, and maintain new models in production.
- Design AB tests and analyze their results.
- Discover new ways to analyze and interpret data.
- Communicate progress and interpretation of experimental results to technical and business stakeholders.
