At a Glance
- Tasks: Lead data science initiatives to enhance product features and customer experiences.
- Company: Join Tripadvisor, a leader in travel experiences and data-driven insights.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentorship and career development.
- Why this job: Shape the future of travel tech with your data expertise and innovative mindset.
- Qualifications: Proven experience in data science, strong skills in Python and SQL.
The predicted salary is between 60000 - 80000 £ 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.
At Tripadvisor experiences, the only thing we love more than travel is data. We slice it, we dice it, and we use it to empower our decision making.
About the Role
As our Senior Product Data Scientist, you will be the cornerstone of our advanced analytics capability. This is more than a technical role; it's a high-impact position designed to shape the future of our product by embedding deep, quantitative intelligence into its core. You will help set the vision for how data science can solve our most challenging problems. You will act as a catalyst, mentoring a talented team of product analysts while spearheading the development of models and frameworks that drive our product strategy forward.
What You will do:
- 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.
Skills & Experience:
- Significant experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization.
- 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).
- Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch.
- 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).
- Experience scaling your impact through the creation of automated processes, self-service tools, or data products.
- 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.
Nice to Haves:
- 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.
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 make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!
Senior Product Data Scientist in London employer: TripadvisorのSenior Product Data Scientistの求人応募
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, you will have the opportunity to mentor a talented team while working on cutting-edge data science projects that directly influence travel experiences worldwide. Located in a vibrant environment, Tripadvisor offers a unique blend of meaningful work, professional development, and a supportive atmosphere that values diversity and inclusion.
Contact Details:
TripadvisorのSenior Product Data Scientistの求人応募 Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Tripadvisor on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your data science skills. Be ready to discuss your experience with statistical models and how you've used them to drive product decisions. We want to see your passion for data!
✨Tip Number 3
Showcase your problem-solving skills! Think of examples where you've tackled complex challenges using data science. This is your chance to shine and demonstrate how you can add value to our team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the Tripadvisor family.
We think you need these skills to ace Senior Product Data Scientist in London
Some tips for your application 🫡
Show Off Your Data Skills:When you're writing your application, make sure to highlight your experience with data science and statistical modelling. We want to see how you've used your skills to influence product decisions in the past!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior Product Data Scientist role. Show us how your background aligns with our mission at Tripadvisor.
Be Clear and Concise:We love data, but we also appreciate clarity! Make sure your application communicates your ideas clearly, especially when discussing complex data insights. Remember, we want to understand your thought process without getting lost in jargon.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at TripadvisorのSenior Product Data Scientistの求人応募
✨Know Your Data Science Inside Out
Make sure you brush up on your data science fundamentals, especially in Python and SQL. Be ready to discuss your experience with statistical models and machine learning techniques, as these will be crucial in demonstrating your fit for the role.
✨Showcase Your Product Acumen
Prepare examples of how you've defined and implemented product metrics in previous roles. Highlight any experiences where your data insights directly influenced product decisions, as this will resonate well with the interviewers.
✨Be Ready to Discuss Experimentation
Since experimentation is key in this role, come prepared to talk about complex A/B tests or causal inference models you've designed. Share specific outcomes and how they impacted product strategy to showcase your analytical prowess.
✨Communicate Clearly and Confidently
Practice explaining complex data insights in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so being able to convey your thoughts clearly will set you apart from other candidates.
