Principal Data Scientist, Experimentation

Principal Data Scientist, Experimentation Overview

As a Principal Data Scientist at Tripadvisor, you will play a pivotal role in shaping the experimentation landscape across the organization. Your expertise will guide teams in conducting effective experiments, enhancing the quality of measurement and decision-making.

Key Responsibilities

• Lead the experimentation process, establishing technical standards and improving measurement quality.
• Develop capabilities for independent experimentation, creating standards, tools, and protocols.
• Enhance decision-making speed and reliability through improved experimentation practices.
• Address complex measurement questions that standard methods cannot resolve.
• Set technical standards for various experimentation methodologies, including A/B testing and Bayesian approaches.
• Collaborate with Product, Engineering, and Data Platform teams to improve experimentation velocity while maintaining rigor.
• Evaluate the impact of experimentation on platform health and communicate findings to leadership.
• Own the measurement strategy for complex questions, designing custom methods as needed.
• Develop and validate statistical methods for organizational use, ensuring reliability before implementation.
• Act as the final authority on measurement validity, resolving disputes and clarifying evidence interpretation.
• Standardize analytical and experimentation processes across the organization, leveraging automation and AI.
• Implement methodological improvements with broad organizational impact.
• Mentor senior data scientists and enhance the technical skills of the wider team.
• Advise on appropriate methodologies for experimentation and suggest alternatives when necessary.

Skills and Experience

• Significant experience in data science or a related quantitative field, with a proven ability to influence product organizations.
• Expertise in statistical methods and experimentation, including experimental design and Bayesian techniques.
• Proficiency in Python and SQL, with extensive hands-on experience in statistical modeling and machine learning techniques.
• Ability to define and operationalize key product metrics from scratch.
• Experience in enhancing team performance through guidance and provision of tools.
• Strong understanding of how product decisions impact platform health and growth.
• Experience in standardizing processes across teams, utilizing AI and automation.
• Proven ability to collaborate effectively across teams.
• Strong critical thinking skills, focusing on validating results.
• Excellent communication skills for conveying complex concepts.
• Bachelor’s degree in a quantitative field.

Benefits

• Opportunity to work in a dynamic and innovative environment.
• Access to professional development resources and mentorship.
• Flexible working arrangements for work-life balance.
• Inclusive workplace culture valuing diversity and accessibility.

Degree Requirement: Not Specified

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