Position Details
About this role
Audible is seeking a Data Scientist to develop causal inference models and drive data-driven decision-making. The role involves designing experiments, estimating customer behavior, and translating analytical results into business strategies.
Key Responsibilities
- Design geo-level experiments
- Apply statistical techniques
- Develop causal inference models
- Estimate long-term effects
- Collaborate with stakeholders
Technical Overview
The role focuses on advanced causal inference methodologies, machine learning, and statistical analysis, utilizing tools like Python, R, and SQL to build scalable models and generate insights.
Ideal Candidate
The ideal candidate is a mid-level data scientist with expertise in causal inference methodologies, machine learning, and experimental design. They should have strong analytical skills and experience translating complex data into actionable business insights.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in causal inference, No experience with statistical modeling, Unfamiliarity with experimental design, No proficiency in Python or R
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile