Position Details
About this role
This role involves developing advanced analytics and machine learning models to support member growth initiatives, including segmentation, experiment design, and propensity modeling.
Key Responsibilities
- Define success metrics
- Build tracking systems
- Design experiments
- Conduct customer segmentation
- Develop predictive models
Technical Overview
The technical scope includes SQL, Python, statistical analysis, and modeling techniques such as uplift and propensity models to analyze customer data and optimize growth strategies.
Ideal Candidate
The ideal candidate is a senior data scientist with expertise in customer segmentation, experimental design, and predictive modeling, particularly propensity and uplift models. They are skilled in SQL, Python, and statistical analysis, with a focus on driving member growth initiatives.
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 with A/B testing or propensity models, No proficiency in SQL or Python, Unwilling to work remotely, No background in customer analytics
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