Senior Data Scientist, Trust (Inference)

📋 Description

• Design and implement robust measurement frameworks to evaluate trust and safety initiatives and
• Lead design, execution, and analysis of experiments and quasi-experiments where A/B testing may not
• Develop statistical, Bayesian, and causal inference models to assess risk and estimate treatment
• Partner with product, engineering, operations, and policy teams to translate findings into
• Produce leadership-ready analyses, visualizations, and presentations for technical and
• Evaluate ML system performance with rigorous measurement methodologies and causal interpretations.

🎯 Requirements

• Master's degree in Statistics, Economics, CS, Mathematics, or quantitative field with 5+ years in
• Deep expertise in experimentation design, causal inference methodologies, and statistical analysis.
• Strong experience with Bayesian modeling for uncertainty quantification and decision support.
• Advanced SQL and Python or R for data analysis and modeling.
• Proven ability to lead complex analytical initiatives and influence cross-functional stakeholders.
• Strong ML evaluation understanding and translating insights into business strategy.

🎁 Benefits

• Competitive base salary from $179,000 to $210,000 USD, depending on experience and location.
• Eligibility for performance bonuses and equity awards.
• Employee travel credits.
• Comprehensive health and benefits package.
• Fully remote role within eligible U.S. states, with occasional team offsites or office
• High-visibility initiatives with significant business and customer impact.