Overview

Principal Product Data Scientist I – ViatorViator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore—everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)—making memories that will last a lifetime has never been easier. Viator. One app, 300,000+ travel experiences you’ll remember.Responsibilities

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.Core Qualifications

Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization.Technical and Modeling Expertise: Expert-level proficiency in Python and SQL; 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 operationalize crucial product and feature-level metrics from scratch.Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with cross-functional partners (e.g., Product, Engineering), leading technical discussions, and communicating complex insights effectively to cross-functional partners.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, 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.Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists.Collaboration and 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.Nice to 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.Perks of Working at Viator

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonusesWork your way with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like.Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.Donation matching. Give back? Give more! We match qualifying charitable donations annually.Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs.Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.Travel perks. We believe that travel is employee development, so we provide discounts and more.Employee assistance program. We\u2019re here for you with resources and programs to help you through life’s challenges.Health benefits. We offer great coverage and competitive premiums.Our Values

We aspire to lead. Tap into your talent, ambition, and knowledge to bring us – and you – to new heights.We’re relentlessly curious. We push beyond the usual, the known, the “that\u2019s just how it\u2019s done.”We’re better together. We learn from, accept, respect, support, and value one another–and are creating something remarkable in the process.We serve our customers, always. We listen, question, respond, and strive for wow moments.We strive for better, not perfect. We won’t get it right the first time – or every time. We\u2019ll provide a safe environment in which to make mistakes, iterate, improve, and grow.Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.Accessibility

If you need a reasonable accommodation or support during the application or recruiting process due to a medical condition or disability, please reach out to your individual recruiter or email AccessibleRecruiting@Tripadvisor.com and include the job requisition number.Tripadvisor collects your personal data for the purposes of managing Tripadvisor’s recruitment related activities as well as for organizational planning purposes globally. Consequently, Tripadvisor may use your personal data in relation to the evaluation and selection of applicants including for example setting up and conducting interviews and tests, evaluating and assessing the results thereto and as is otherwise needed in the recruitment processes including the final recruitment. If you join Tripadvisor, the personal data collected will become part of your employment record. In all cases, Tripadvisor will retain your information for a period after your application. Tripadvisor retains this information for various reasons, including in case Tripadvisor faces a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs and also to help us better understand, analyze and improve our recruitment processes.

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