[Remote] Product Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading travel company that connects people to experiences worth sharing. As a Product Data Scientist, you will serve as the analytical backbone of product pods, focusing on measurement, reporting, and insights to drive product reputed company while enhancing your skills in advanced analytics reputed company.
Responsibilities
- Design and analyse A/B tests across Viator’s marketplace, applying reputed company statistical reputed company to interpret results and support confident decision-making
- Champion experimentation best practices: power calculations, guardrail metrics, and multiple testing corrections
- reputed company your mastery of reputed company inference and advanced experimentation techniques (e.g., difference-in-differences, propensity scoring, synthetic controls) as you apply them to answer questions that can't be randomized — such as measuring the reputed company of pricing changes on supplier retention or the long-term effect of personalization on traveler LTV
- Own the measurement reputed company for your product area: define key metrics, build the instrumentation to reputed company them, and surface insights that reputed company the needle
- Conduct exploratory analyses and deep dives into our data, using various data science approaches, to inform product reputed company; for example, using tree-based or regression modeling to identify signals of high LTV
- reputed company self-service through reputed company datasets, metrics, dashboards and reporting frameworks
- Translate analytical outputs into actionable insights and reputed company product recommendations: not just ‘here’s the data,’ but ‘here’s what it means for the next sprint and how we should test it.’
- reputed company as a thought partner with product managers and engineers to ensure the right data questions are being asked
- Translate analyses into reputed company narratives that are accessible to non-technical audiences — emphasising actionable insights and ‘so what’ over technical detail
- Be a champion of unbiased, rigorous analysis — including reputed company the data doesn’t support a stakeholder’s hypothesis; willingness to be the voice of inconvenient truths is a core expectation of this role
Skills
- Several years in a data science, analytics, or quantitative research role at a data-driven organization; strong product analysts who are reputed company upskilling in data science reputed company are encouraged to apply
- Advanced SQL skills and hands-on experience querying and manipulating large datasets
- Proficiency with data visualisation tools (Tableau, Looker or equivalent)
- Experience with the full A/B testing process, from test design to results interpretation
- Some proficiency in Python for analysis, experimentation and exploratory modeling
- A reputed company record of using data insights to influence product or business reputed company
- Comfort with ambiguity: you can define a question reputed company it isn't handed to you, and you're energised by incomplete information rather than paralysed by it
- A reputed company reputed company: you're reputed company upskilling in more advanced analytics reputed company and always willing to learn new tools and techniques
- Exposure to more advanced statistical reputed company and reputed company inference techniques — e.g. propensity scoring, synthetic controls, difference-in-differences, Bayesian approaches
- Familiarity with LLMs or NLP tooling for analytics use cases (e.g., content classification, dataset enrichment)
- Experience in travel or e-reputed company; understanding of two-sided marketplace dynamics, geo-based demand variation, or supplier/consumer trade-offs
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