Senior Data Scientist, Experimentation

Senior Data Scientist, Experimentation Overview

Join Tripadvisor as a Senior Data Scientist on the Experimentation team, where you will play a crucial role in enhancing product decision-making through data-driven insights. Your primary focus will be on developing and implementing experimentation strategies that empower Product and Engineering teams to conduct effective investigations.

Key Responsibilities

• Lead the experimentation and measurement strategy for your domain, from framing questions to decision-making and review processes.
• Provide guidance, tools, and protocols that enhance experimentation speed and quality for partner teams.
• Design experiments for scenarios where standard A/B tests are inadequate, including low-traffic situations and long-term outcome assessments.
• Analyze not just whether changes are effective, but also understand the reasons behind their effectiveness and their applicability across different users and markets.
• Evaluate the impact of product decisions on platform health and growth, and communicate potential long-term costs of short-term gains.
• Establish and implement a metric framework for your domain, including safeguards and proxies for outcomes that are not immediately observable.
• Enhance measurement sensitivity through improved metric design and variance reduction techniques.
• Standardize analytical and experimentation processes using automation and AI to improve consistency and efficiency.
• Influence product roadmaps and prioritization based on evidence, advocating against initiatives that lack supporting data.
• Elevate the technical quality of team outputs by reviewing experiment designs and analyses, and mentoring junior data scientists.

Skills and Experience

• Significant experience in data science or a related quantitative field, with a strong history of influencing product organizations.
• Expertise in statistical methods and experimentation, including experimental design, causal inference, and advanced methodologies like Bayesian methods.
• Proficient in Python and SQL, with extensive hands-on experience in statistical modeling and various machine learning techniques.
• Ability to define and operationalize key product metrics from the ground up.
• Proven track record of enhancing team performance through guidance and tool provision, rather than taking on all tasks yourself.
• Strong capability to assess the long-term implications of product decisions on platform health and growth.
• Experience in standardizing processes across teams, utilizing AI and automation to establish best practices.
• Ability to foster cross-functional relationships and drive results across various teams without direct authority.
• Strong critical thinking skills, with a focus on validating results before interpreting their significance.
• Excellent communication skills, capable of conveying complex concepts to both technical and non-technical stakeholders.

Benefits

• Flexible working arrangements, including hybrid work options.
• Opportunities for professional development and career growth.
• Access to a collaborative and inclusive work environment.
• Comprehensive health and wellness benefits.

Degree Requirement: Not Specified

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