Staff Data Scientist, Engagement Ecosystem
$164,695–$339,078 year
Remote · San Francisco, California, United States or New York City, New York, United States
Job Summary
The Staff Data Scientist will shape the future of Pinterest's Engagement Ecosystem, leveraging expertise in quantitative modeling, experimentation, and algorithms. Responsibilities include leading projects to understand engagement metrics impact on product outcomes, designing robust ML frameworks, and advocating for best practices in experimentation and metric design. The candidate must possess deep experience in web-scale data environments, strong skills in Machine Learning and Statistical Modeling, as well as communication and leadership capabilities. A Master's degree in a technical field is required.
Required Qualifications
- 10+ years of hands-on experience in web-scale data environments
- Deep expertise in Machine Learning
- Expertise in Statistical Modeling & Causal Inference
- Programming in Python/R and advanced SQL/Spark
- Track record mentoring and growing data talent
Desired Qualifications
- Strong product intuition
- Exceptional communication
- Cross-functional leadership and alignment
Additional Requirements
- US based applicants only
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