Senior Product Data Scientist

Senior Product Data Scientist I Viator

Viator, 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. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember.

• Lead the development of Data Science within Product, producing statistical models that directly impact the insights and recommendations that drive the product and customer experience.
• Use your knowledge and experience to help scale the impact of the Product Analytics team through data science. Creating automation, self service model capability, improve experimentation velocity, and drive efficiency.
• Architect and implement sophisticated statistical models (predictive, classification, clustering, etc.) to enhance product features like personalization and recommendations.
• Exploration of new tooling, product and approaches including Agentic AI and AI Agents, to identify opportunity areas, explore through POC to then drive to adoption.
• Partner with Product Managers, Designers, and Engineers to identify high-impact opportunities where data science can solve customer problems and improve the product.
• Champion experimentation by designing and analyzing complex AB tests, causal inference models, and uplift modeling to inform product decisions.
• Guide and mentor other product analysts in best practices for experimentation, modeling, and data-driven product development upskilling the team and defining the roadmap for Product Data Science.
• Communicate complex data insights to both technical and non-technical stakeholders with clarity and influence.

Core Qualifications:

• Experience: Significant experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization.
• Technical & Modeling Expertise: Advanced 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 operationalize crucial product and feature-level metrics from scratch.
• Strategic Influence: A 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 teams).
• Scaling Impact: Experience scaling your impact through the creation of automated processes, self-service tools, or data products.
• 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.
• 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.
• Deep experience in developing sophisticated customer segmentation models including predictive LTV modeling.

• Experience working within a two-sided marketplace, e-commerce, or the travel technology industry.

• Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
• "Work 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 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\'re here for you with resources and programs to help you through life\'s challenges.
• Health benefits. We offer great coverage and competitive premiums.

• 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\'s just how it\'s 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\'ll 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.

If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message.

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