At a Glance
- Tasks: Lead data science strategy, drive innovation, and mentor a team of analysts.
- Company: Join Tripadvisor, the trusted source for travel experiences worldwide.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and impactful projects.
- Why this job: Shape the future of travel through data-driven insights and cutting-edge AI technologies.
- Qualifications: Extensive data science experience, proficiency in Python and SQL, and strong leadership skills.
The predicted salary is between 70000 - 90000 £ 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.
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 optimise 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, experimentation, multi‑arm bandit, and a wide range of machine learning techniques (Regression, Classification, Clustering).
- Demonstrated ability to define, implement, and operationalise crucial product and feature‑level metrics from scratch.
- Proven track record of driving strategic impact through proactive collaboration, leading technical discussions, steering product strategy, and communicating complex insights to cross‑functional partners.
- Experience scaling analytics capabilities, creating automated processes, self‑service tools, or data products.
- Demonstrated analysis of facts, evidence, observations, and arguments to form judgments by applying rational, skeptical, and unbiased evaluation.
- Outstanding leadership skills, with experience 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.
Other Qualifications (Preferred)
- 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).
- 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 program.
Senior Product Data Scientist (Sean Stroud) employer: Tripadvisor
Tripadvisor is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior Product Data Scientist to thrive. With a commitment to employee growth, the company offers extensive mentorship opportunities and encourages the exploration of cutting-edge AI technologies, all while being part of a globally recognised brand in the travel industry. Located in a vibrant environment, Tripadvisor not only values data-driven decision-making but also empowers its employees to shape the future of travel experiences through advanced analytics and strategic influence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Data Scientist (Sean Stroud)
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We think you need these skills to ace Senior Product Data Scientist (Sean Stroud)
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Tripadvisor, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tripadvisor. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tripadvisor
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tripadvisor!
✨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.
