At a Glance
- Tasks: Lead data science strategy and drive advanced analytics for product development.
- Company: Join Tripadvisor, a leader in travel and experiences.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on technical excellence and career advancement.
- Why this job: Shape the future of travel with data-driven insights and innovative experimentation.
- Qualifications: Expertise in data science, analytics, and mentoring skills.
The predicted salary is between 63000 - 77000 £ per year.
Tripadvisor is seeking a Principal Product Data Scientist to define the Data Science strategy for Product, driving advanced analytics and AI to shape product development. You will serve as a trusted advisor to senior leadership, embedding data-driven decision making and championing experimentation and causal inference, while mentoring other data scientists to foster technical excellence.
Principal Product Data Scientist — Strategy & Experimentation in London employer: Experimentation Jobs
Tripadvisor is an exceptional employer that prioritises innovation and collaboration, making it an ideal place for a Principal Product Data Scientist. With a strong focus on advanced analytics and AI, employees are encouraged to drive impactful product development while enjoying a supportive work culture that fosters mentorship and professional growth. Located in a vibrant environment, Tripadvisor offers unique opportunities to shape the future of travel through data-driven decision making.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Product Data Scientist — Strategy & Experimentation in London
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We think you need these skills to ace Principal Product Data Scientist — Strategy & Experimentation in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Experimentation Jobs
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
