At a Glance
- Tasks: Lead and enhance our experimentation programme, ensuring high-quality design and execution.
- Company: Join TripAdvisor, a global leader in travel and experiences.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
- Why this job: Make a significant impact on travel experiences through data-driven decision making.
- Qualifications: Proven experience in data science and strong leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
TripAdvisor LLC in London is seeking a Senior Data Science Manager (Experimentation) to own the health, velocity, and governance of our experimentation program across Viator and Tripadvisor. You will lead from within the Product Data Science function, ensuring consistent, high-quality design, execution, and interpretation of experiments. You will partner with Product, Engineering, Data Engineering, and leadership to align priorities, improve experimentation processes, and foster a data-driven culture.
Head of Product Experimentation & Data Science in London employer: TripAdvisor LLC
At Tripadvisor Group, we pride ourselves on being an exceptional employer, particularly for the role of Product Data Scientist in London. Our vibrant work culture fosters collaboration and innovation, empowering employees to grow their skills in a data-driven environment while contributing to meaningful travel experiences. With a commitment to professional development and a supportive atmosphere, we offer unique opportunities to engage with cutting-edge analytics methods and make impactful decisions that shape the future of travel.
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We think this is how you could land Head of Product Experimentation & Data Science in London
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We think you need these skills to ace Head of Product Experimentation & Data Science 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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