Job Summary
This role is focused on the design, development, and validation of causal inference models aimed at assessing the effectiveness of business initiatives. The position calls for collaboration with various teams to implement rigorous A/B testing while converting intricate technical concepts into comprehensible narratives for executive-level stakeholders.
Responsibilities
- Design and validate causal inference models to assess the impact of business programs.
- Collaborate with teams to carry out methodical A/B testing.
- Translate complex technical methodologies into understandable business insights for executives.
Qualifications
- Master’s degree in a quantitative field.
- Minimum of 3 years of experience in analytics, coding, and statistical modeling.
- Proficiency in programming languages such as Python, R, or SQL.
- Strong knowledge of applied machine learning and causal inference techniques.
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