This job offer is no longer available
About
Design and implement causal inference frameworks to measure incremental impact across various interventions Build and scale lifetime value models for real-time decisioning and develop personalization models that influence user intent Provide technical leadership, mentor data scientists, and communicate analytical insights to executive stakeholders
Required Qualifications
8+ years of experience in applied machine learning, causal inference, or related quantitative fields Deep expertise in causal inference methodologies and proven experience operationalizing lifetime value models Strong software engineering and production machine learning experience, including Python and SQL Experience with distributed systems and modern data platforms Hands-on experience with experimentation frameworks and demonstrated success in deploying impactful models
Languages
- English
Notice for Users
This job was posted by one of our partners. You can view the original job source here.