Machine Learning Scientist II - Causal Inference

Summary

Join TripAdvisor's Data Science/Machine Learning team as an experienced data scientist/statistician focusing on inference. You will develop and implement best practices in experimental design, A/B testing, and analysis of various data types. Collaborate with cross-functional teams to determine optimal testing strategies across multiple initiatives and products. Your work will directly impact feature deployment and company growth. The role requires expertise in causal inference and time-series modeling, proficiency in Python or R, and excellent communication skills. TripAdvisor promotes a culture of personal development with opportunities for professional growth.

Requirements

• PhD in Statistics/Biostatistics, Economics, Mathematics, or related field (or masters with 2+ years of practical experience.)
• Excellent communication skills for both technical and non-technical audiences
• Expertise in causal inference (propensity score methods, double ML, matching methods, etc.) and/or experimental/quasi-experimental design
• Experience with time-series modeling and analysis of repeated-measures data
• Proficiency in Python and/or R

Responsibilities

• Develop and implement best practices in the design of experiments, A/B testing, the analysis of observational data, panel data analysis, time-series modeling, and more
• Be involved in marketing projects or other initiatives where traditional testing is not possible and non-standard testing solutions are necessary
• Collaborate with data scientists, analysts, product managers, and engineers to determine the best course of action for testing and experimentation across a multitude of initiatives and products
• Contribute to the testing culture and help determine which features and enhancements we deploy online
• Stay up to date on the literature, keeping up with state-of-the-art statistical research and methodology
• Take ownership of your projects and find new opportunities and problems where experimentation could be applied to drive the business forward

Preferred Qualifications

• Experience with advanced machine learning methods
• Experience working with real-world data
• Previous industry experience

Benefits

• Culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences
• Remote work