Principal Product Data Scientist

TripAdvisor LLC
City of London
2 months ago
Applications closed

Related Jobs

View all jobs

Principal Machine Learning Engineer

Principal Machine Learning Engineer

Principal Machine Learning Engineer

Principal Machine Learning Engineer

Principal Machine Learning Engineer

Principal Machine Learning Engineer

Principal Product Data Scientist I Viator

About 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.

What you will do:

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.

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.

What You’ll bring to the team:

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 & 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 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 the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering).

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 & 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.

Perks of Working at Viator

  • 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’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’re 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’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 and let us know the nature of your request. Please include the job requisition number in your message.

#Viator

#LI-WR1

Apply for this job

*

indicates a required field

First Name *

Last Name *

Email *

Phone

Country *

Phone *

Location (City) *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile

Current Company *

Current Title *

Application Consent * Select...

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.

Tripadvisor does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, Tripadvisor has international sites and Tripadvisor uses resources located throughout the world. Tripadvisor may from time to time also use third parties to act on Tripadvisor’s behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within Tripadvisor group of companies as well as to third parties acting on Tripadvisor’s behalf, including also transfers to servers and databases outside the country where you provided Tripadvisor with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and to the United States of America, in order to contact your referees or to detect, prevent or otherwise address fraud, security or technical issues, or to protect against harm to the rights, property or safety of Tripadvisor, our users, applicants, candidates, employees or the public or as otherwise required by law. We have put in place adequate safeguards with respect to the protection of your privacy, rights and freedoms, and the exercise of your rights.

Please select the country in which you currently reside? * Select...

"}


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.