Senior Product Data Scientist at TripAdvisor

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Travel, TechnologyIndustries

Requirements

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
Proactive and collaborative approach with 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 impact through the creation of automated processes, self-service tools, or data products
Critical thinking demonstrated through analysis of facts, evidence, observations, and arguments using rational, skeptical, and unbiased evaluation
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field

Responsibilities

Lead the development of Data Science within Product, producing statistical models that directly impact insights and recommendations driving the product and customer experience
Scale the impact of the Product Analytics team through data science by creating automation, self-service model capability, improving experimentation velocity, and driving efficiency
Architect and implement sophisticated statistical models (predictive, classification, clustering, etc.) to enhance product features like personalization and recommendations
Explore new tooling, product, and approaches including Agentic AI and AI Agents to identify opportunities, conduct POCs, and drive 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 A/B 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

Key technologies and capabilities for this role

Statistical ModelingPredictive ModelingClassificationClusteringPersonalizationRecommendationsAgentic AIAI AgentsA/B TestingCausal InferenceUplift Modeling

Questions & Answers

Common questions about this position

What technical skills are required for this Senior Product Data Scientist role?

Advanced proficiency in Python and SQL is required, along with deep hands-on experience in statistical modeling, (quasi) experimentation, multi-arm bandit, and machine learning techniques like regression, classification, and clustering.

What experience is needed for this position?

Significant experience in data science or a similar quantitative role is required, with a proven track record of supporting and influencing a product organization.

Is remote work an option for this role?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What makes a strong candidate for this Senior Product Data Scientist role?

Strong candidates demonstrate product acumen by defining and operationalizing metrics, strategic influence through leading discussions and communicating insights to cross-functional teams, and experience scaling impact via automation.

TripAdvisor

Largest travel platform for reviews and bookings

About TripAdvisor

Tripadvisor is the largest travel platform in the world, designed to help travelers research and plan their trips. It collects millions of reviews and opinions from travelers about various services such as hotels, restaurants, activities, airlines, and cruises. Users can access this information to make informed decisions about their travel plans. Tripadvisor operates mainly through advertising revenue, offering businesses in the travel industry the opportunity to advertise and enhance their visibility on the platform. Additionally, it earns money through affiliate commissions when users book travel services through links on its site. What sets Tripadvisor apart from its competitors is its vast database of user-generated content, which provides authentic insights and recommendations. The goal of Tripadvisor is to empower travelers with the information they need to create memorable travel experiences.

Englewood, ColoradoHeadquarters

1999Year Founded

$325MTotal Funding

IPOCompany Stage

Consumer Software, Consumer GoodsIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Flexible Work Hours

Remote Work Options

Hybrid Work Options

Paid Vacation

Paid Sick Leave

Mental Health Support

401(k) Company Match

Risks

Potential acquisition could lead to strategic changes impacting Tripadvisor's market position.

The resignation of M. Gregory O'Hara may cause shifts in corporate governance.

Inquiry into securities law violations could result in legal challenges and financial penalties.

Differentiation

Tripadvisor is the world's largest online travel community with extensive user reviews.

The platform offers seamless links to booking tools for a comprehensive travel planning experience.

Tripadvisor's business model capitalizes on advertising revenue and affiliate commissions.

Upsides

Tripadvisor can enhance AI-driven personalization features to meet demand for tailored travel experiences.

The rise of 'workcations' presents opportunities for Tripadvisor to expand remote work-friendly content.

Tripadvisor can leverage sustainability trends by promoting eco-friendly accommodations and experiences.

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