Senior Data Scientist, Trust (Inference)

Accountabilities:
Design and implement robust measurement frameworks to evaluate the effectiveness of trust and safety initiatives and identify opportunities for continuous improvement. Lead the design, execution, and analysis of experiments and quasi-experiments in complex environments where traditional A/B testing may not be feasible. Develop statistical, Bayesian, and causal inference models to assess risk, estimate treatment effects, and improve decision-making. Partner with product, engineering, operations, and policy teams to translate analytical findings into strategic recommendations and product enhancements. Produce leadership-ready analyses, visualizations, and presentations that communicate complex technical concepts to both technical and non-technical audiences. Evaluate the performance of machine learning systems by providing rigorous measurement methodologies and causal interpretations of model outputs. Drive the evolution of data science practices by identifying scalable approaches, improving methodologies, and contributing to long-term scientific strategy. Requirements Master's degree in Statistics, Economics, Computer Science, Mathematics, or another quantitative discipline with at least 5 years of industry experience in data science or quantitative analysis, or a PhD with 2+ years of relevant experience. Deep expertise in experimentation design, causal inference methodologies, and statistical analysis. Strong experience with Bayesian modeling for uncertainty quantification, measurement, and decision support. Advanced programming skills in SQL and Python or R for data analysis and statistical modeling. Proven ability to lead complex analytical initiatives and influence cross-functional stakeholders in product or technology environments. Strong understanding of machine learning evaluation and translating analytical insights into business strategy. Excellent communication and storytelling skills with the ability to explain sophisticated statistical concepts to diverse audiences. Demonstrated ability to navigate ambiguity, prioritize high-impact opportunities, and deliver actionable insights in fast-paced environments. Benefits Competitive base salary ranging from $179,000 to $210,000 USD , depending on experience, skills, and location. Eligibility for performance bonuses and equity awards. Employee travel credits. Comprehensive health and employee benefits package. Fully remote role within eligible U.S. states, with occasional team offsites or office collaboration. Opportunity to work on highly visible initiatives with significant business and customer impact. Collaborative, inclusive, and innovation-focused work environment. Career growth opportunities alongside world-class data science, engineering, and product teams.

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