At a Glance
- Tasks: Lead data science strategy and drive innovative analytical solutions for product development.
- Company: Join Tripadvisor, a leader in travel experiences and data-driven decision making.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentorship and continuous learning.
- Why this job: Shape the future of travel tech with cutting-edge AI and data science methodologies.
- Qualifications: Extensive experience in data science, strong Python and SQL skills required.
The predicted salary is between 80000 - 100000 € per year.
About Tripadvisor
The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.
At Tripadvisor experiences, the only thing we love more than travel is data. We slice it, we dice it, and we use it to empower our decision making.
About the Role
As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross-functional influence.
What You will do:
- Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences.
- Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization.
- Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility.
- Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production.
- Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes.
- Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value.
- Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence.
- Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities.
- Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap.
- Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams.
Skills & Experience:
- Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization.
- Expert Level proficiency in Python and SQL.
- Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering).
- Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch.
- A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design).
- Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products.
- Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation.
- Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists.
- Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels.
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
You could be an especially great fit if you have:
- Advanced programming background with the ability to build simulations and prototype data products.
- Experience validating quantitative findings with qualitative methods (e.g., surveys, user research).
- Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics.
- Experience working within a two-sided marketplace, e-commerce, or the travel technology industry.
- Masters degree or equivalent relevant programs.
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 AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com.
Principal Product Data Scientist in London employer: Tripadvisor
Tripadvisor is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Principal Product Data Scientist to thrive. With a strong emphasis on employee growth, you will have the opportunity to lead cutting-edge data science initiatives while mentoring a talented team, all within a dynamic environment that values diverse perspectives and encourages continuous learning. Located in a vibrant hub of travel technology, Tripadvisor offers unique advantages such as access to industry-leading resources and a commitment to creating meaningful experiences for both employees and customers.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Product Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Tripadvisor on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Tripadvisor's products and data strategies. Show us that you understand how data science drives their decision-making and be ready to discuss how you can contribute to that vision.
✨Tip Number 3
Practice your storytelling skills! Be ready to explain complex data concepts in simple terms. We want to see how you can communicate effectively with cross-functional teams, so make it engaging and relatable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in being part of the Tripadvisor family.
We think you need these skills to ace Principal Product Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Principal Product Data Scientist role. Highlight your expertise in Python, SQL, and any relevant data science projects you've led.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how you can contribute to our mission at Tripadvisor. Share specific examples of how you've driven strategic impact in previous roles.
Showcase Your Leadership Skills:Since this role involves mentoring and leading teams, be sure to include examples of your leadership experience. Talk about how you've influenced cross-functional teams and fostered a culture of critical thinking.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Tripadvisor
✨Know Your Data Science Inside Out
As a Principal Product Data Scientist, you'll need to showcase your expertise in Python, SQL, and various statistical modelling techniques. Brush up on your knowledge of machine learning methods and be ready to discuss how you've applied them in previous roles. Prepare examples that highlight your experience with causal inference and experimentation.
✨Demonstrate Strategic Influence
This role requires you to be a trusted advisor to senior leadership. Think about times when you've influenced product strategy through data-driven insights. Be prepared to share specific examples of how your analytical solutions have led to significant business outcomes, and how you communicated these insights effectively to cross-functional teams.
✨Showcase Your Leadership Skills
You'll be mentoring other Data Scientists and Analysts, so it's crucial to demonstrate your leadership abilities. Share experiences where you've coached team members or led projects. Highlight how you foster a culture of critical thinking and continuous learning within your teams.
✨Prepare for Technical Discussions
Expect to engage in deep technical conversations during the interview. Brush up on the latest trends in AI technologies and be ready to discuss their applications in data science. Prepare to explain complex concepts in a way that's accessible to non-technical stakeholders, as this will be key in influencing decisions across Product, Engineering, and Design teams.
