About the role

Role Overview

Join Pinterest as a Staff Data Scientist (Ads Delivery). You’ll shape ads delivery strategy, solve complex ML/analytics problems, and collaborate with cross-functional partners to influence product development and impact millions of users.

Key Missions

Develop a deep understanding of Pinterest ads delivery, quantifying full-funnel opportunities and risks.
Lead projects on Pinner LTV and evaluate tradeoffs between ads and organic engagement.
Design and productionize robust, scalable ML and evaluation frameworks, including:
- Forecasting
- Recommendation/Ranking
- Causal Inference
Mentor and guide data scientists, fostering technical excellence and advocating best-in-class experimentation and metric design.

Responsibilities

Challenge assumptions and drive toward robust and reproducible outcomes.
Partner with product and engineering teams to root-cause issues and design experiments/metrics.
Communicate clearly with both technical and non-technical stakeholders.

Requirements

10+ years hands-on experience in web-scale data environments.
Strong expertise in:
- Machine Learning (recommendation, ranking, prediction, experimentation)
- Statistical Modeling & Causal Inference (observational and experimental data)
- Product analytics/strategy (root cause, goal setting, design collaboration)
Programming skills in Python/R and advanced SQL/Spark.
Bachelor’s/Master’s in a relevant field (or equivalent experience).
Strong product intuition for scoping and designing solutions to ambiguous, high-impact problems.
Demonstrated track record mentoring/staff-level technical leadership.

Nice-to-Haves

Experience with staff/senior IC-level influence and growing data talent.

About Pinterest

Pinterest is a global social media and visual discovery platform. It focuses on helping people find and save ideas through personalized experiences, including advertising products that drive user engagement and value for advertisers.

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