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About the Role
Shape the future of people-facing and business-facing products at Pinterest. Utilize expertise in quantitative modeling, experimentation, and algorithms to solve complex engineering challenges. Collaborate with cross-functional partners to influence product development and introduce scientific rigor into real-world products serving hundreds of millions of users.
Responsibilities
- Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks.
- Lead projects on Ads Delivery opportunities across different funnel stages.
- Design and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inference.
- Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact.
- Collaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insights.
- Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.
Requirements
- 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics.
- Deep expertise in Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration).
- Programming in Python/R and advanced SQL/Spark.
- Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems.
- Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes.
- Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences.
- Track record mentoring and growing data talent at the staff/senior IC level.
- Cross-functional leadership and the ability to align competing interests towards shared goals.
- Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.
Skills
- Machine Learning
- recommendation
- ranking
- prediction
- experimentation
- Statistical Modeling
- Causal Inference
- Product analytics
- Product strategy
- Python
- R
- SQL
- Spark
Location
- San Francisco
- Palo Alto
- Seattle
Work Type
- Hybrid
Experience Level
- Staff
- 10+ years
Education Level
- Bachelor's degree
- Master's degree
Salary/Compensations
- $164,695—$339,078 USD
Benefits
- Equity
About the Company
- Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.
- At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
- Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work.
- At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that.
- Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.
- Information regarding the culture at Pinterest and benefits available for this position can be found here.
Equal Opportunity
- Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.