Position Details
About this role
This role focuses on analyzing member engagement and subscription data to inform product strategies, leveraging data science techniques to enhance user experience and revenue.
Key Responsibilities
- Design data pipelines
- Develop machine learning models
- Conduct causal experiments
- Interpret data insights
- Influence product decisions
Technical Overview
The technical environment includes SQL, Python, R, Tableau, and causal inference methods, with a focus on building scalable analytics pipelines and conducting deep data analysis.
Ideal Candidate
The ideal candidate is a highly strategic and technically proficient data scientist with 3+ years of experience in member insights, engagement, and subscription analytics, skilled in SQL, Python, R, and A/B testing, with a focus on driving product growth.
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 SQL and Python, No background in member insights or subscription analytics, Insufficient experience with A/B testing or causal inference
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