Data Scientist
Lisbon
Applications have closed
TripAdvisor
Plan your next trip, read reviews and get travel advice from our community on where to stay and what to do. Find savings on hotels, book the perfect tour or attraction, and reserve a table at the best restaurants.In that role, you will solve our most complicated problems. Your work will have direct impacts on our traveler’s experience and on our business operations and will therefore have high exposure to senior management.
You will be joining a high-impact team who:
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Owns the algorithms exposed on the website and which maximize business objectives
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Balances time between long-term projects and real-time firefighting
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Collaborates with…
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Machine learning to improve the user experience
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Product to support additional features on the site
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Analytics to investigate trends and identify opportunities
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Supply to make sure we are operating an efficient marketplace
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Traffic to efficiently increase revenue across all channels
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Provides weekly and monthly management-level reports, synthesized from numerous sources, focused on measurable impacts.
What you will be doing
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Focus primarily on our sort and recommendation algorithms
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Build solutions to solve quickly concrete business challenges (1 to 3 weeks projects)
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Be creative and efficient in the modeling approach (find the simple logic that solves most of the problem)
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Interact with many teams to support stakeholders’ projects but also owning your own initiatives
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Be autonomous on the steps of a data science projects from concept to implementation: data exploration, modeling, productizing & coordinate work for deployment and integration
What You Already Have
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An interest to leverage data more to improve YoY revenue than to build the perfect model
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Willingness to have direct and visible impact on the business
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Preference for MVP + Iteration
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Master’s degree in quantitative field
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Ability to use SQL; Python a plus
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Experience in an analytical role a plus
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Excellent problem-solving and analytical skills
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Ability to communicate effectively with audiences of various background, level and function.
We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at greenhouse@tripadvisor.com.
Tags: Machine Learning Python SQL
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