At a Glance
- Tasks: Lead data science strategy, drive AI integration, and mentor a team of analysts.
- Company: Join Viator, a leading travel marketplace under Tripadvisor.
- Benefits: Competitive pay, flexible remote work, tuition assistance, and travel perks.
- Other info: Dynamic culture focused on curiosity, collaboration, and continuous improvement.
- Why this job: Make a real impact in the travel industry with cutting-edge data science.
- Qualifications: Extensive data science experience, proficiency in Python and SQL, and strong leadership skills.
The predicted salary is between 43200 - 72000 £ per year.
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 optimises the product roadmap.
- Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams.
Skills & Experience
- Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization.
- Technical & Modeling Expertise: 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).
- Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature‑level metrics from scratch.
- Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with a proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross‑functional partners (e.g., Product, Engineering, Design).
- Scaling Impact: Experience scaling analytics capabilities, driving impact through the creation of automated processes, self‑service tools, or data products.
- Critical Thinking: Leader in critical thinking, demonstrating analysis of available facts, evidence, observations, and arguments in order to form a judgement by application of rational, skeptical, and unbiased analyses and evaluation.
- Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists.
- Collaboration & Communication: 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.
Accessibility
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 reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.
Additional Information
If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com.
Principal Product Data Scientist employer: TripAdvisor LLC
Viator, a Tripadvisor company, is an exceptional employer that champions a culture of flexibility and work-life balance, allowing employees to thrive in a remote-friendly environment. With competitive compensation packages, generous benefits like tuition assistance and travel perks, and a commitment to employee growth through mentorship and continuous learning, Viator empowers its team to innovate and make a meaningful impact in the travel industry.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Product Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your data science skills. Use real-life examples from your experience to demonstrate how you’ve tackled complex problems.
✨Tip Number 3
Don’t just apply; engage! When you find a role you love, send a personalised message to the hiring manager expressing your enthusiasm. It shows initiative and can set you apart.
✨Tip Number 4
Keep learning and stay updated with the latest trends in data science. Share your insights on social media or blogs to showcase your expertise and passion for the field.
We think you need these skills to ace Principal Product Data Scientist
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Principal Product Data Scientist role. Highlight your experience in data science, especially how it relates to product development and customer experience. We want to see how you can bring your unique skills to our team!
Showcase Your Technical Skills:Don’t hold back on your technical expertise! Be sure to mention your proficiency in Python and SQL, as well as any relevant machine learning techniques you've used. We love seeing candidates who can demonstrate their hands-on experience with statistical modelling and AI methodologies.
Communicate Clearly:When writing your application, keep it clear and concise. Use straightforward language to explain complex concepts, as we value effective communication. Remember, you’ll need to influence stakeholders across various teams, so showing this skill from the get-go is key!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there, which can help you tailor your application even further!
How to prepare for a job interview at TripAdvisor LLC
✨Know Your Data Science Inside Out
Make sure you brush up on your Python and SQL skills, as well as your knowledge of statistical modelling and machine learning techniques. Be ready to discuss specific projects where you've applied these skills, especially in a product context.
✨Showcase Your Strategic Influence
Prepare examples that demonstrate how you've driven strategic impact in previous roles. Think about times when you've collaborated with cross-functional teams and how your insights influenced product decisions.
✨Communicate Complex Ideas Simply
Practice explaining complex analytical concepts in a straightforward way. You might be asked to present your findings to non-technical stakeholders, so being able to communicate clearly is key.
✨Emphasise Your Leadership Skills
Be ready to talk about your experience mentoring and developing other data scientists or analysts. Highlight any initiatives you've led that fostered a culture of continuous learning and critical thinking.
