Senior Data Scientist, CX Analytics

📋 Description

• Own and evolve CX's DSI revenue calibration models translating support data into revenue signals.
• Design and run causal inference frameworks and experiments to measure CX program impact on retention and product engagement.
• Build LLM-powered classification pipelines for CX taxonomy, friction detection, and issue attribution; productionize models.
• Collaborate with CX PMs and Product teams to define segmentation models and behavioral signals.
• Maintain statistical rigor across CX analytics; ensure experiments and models meet executive standards.
• BA/BS in quantitative field with 5+ years experience, or PhD with 3+ years.

🎯 Requirements

• BA/BS in quantitative field with 5+ years experience, or PhD with 3+ years experience.
• Experience building revenue attribution or causal impact models in consumer-facing or operational analytics.
• Applied stats including A/B testing, causal inference, and ML to real-world problems.
• Designing and deploying LLM-based classification or NLP pipelines with production-grade accuracy.
• Ability to translate complex model outputs into clear, actionable narratives for executives and product teams.
• Experience driving data science projects in ambiguous problem spaces with limited prior art.

🎁 Benefits

• Remote-first culture with quarterly in-person surges.
• Equity and bonus eligibility in total compensation.
• Medical, dental, vision, and 401(k) benefits.
• Equal Opportunity Employer; inclusive hiring.
• Accommodations for applicants with disabilities available.