✨ About The Role
- This role involves designing and deploying predictive models to forecast support demand and identify user friction.
- The candidate will collaborate with engineering teams to refine autonomous agents and provide insights on training data and agent performance.
- Key product insights will be provided for product managers and engineering teams to shape priorities and guide user support strategies.
- The role includes mentoring other data scientists and establishing standards for data quality and ethical AI use.
- The candidate will manage cross-functional data science projects related to revenue, marketing, pricing, and usage.
âš¡ Requirements
- The ideal candidate will have at least 10 years of experience in Data Science roles within dynamic, outcome-driven organizations.
- A strong expertise in statistics and causal inference is essential, particularly in experimentation and observational studies.
- Proficiency in quantitative programming languages such as Python and R is required for this role.
- The candidate should have extensive experience with SQL, particularly in extracting large datasets and designing ETL workflows.
- Strong communication skills are necessary to bridge technical and non-technical stakeholders effectively.