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Salary
$164k – $288k per year
Location
In office (Seattle, San Francisco)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Aug 29, 2026. Pinterest scores B on the Alion truth index.

Overview
Company
Impact
Profile match

Join Pinterest's Monetization Engineering organization as a Senior Data Scientist. In this role, you will take ownership of designing, researching, building, and delivering data products, while collaborating with cross-functional teams to shape Pinterest's advertising strategy. You will conduct deep strategic analysis, opportunity sizing, and modeling, as well as improve decision-making using data science techniques. Additionally, you will create and track success metrics, and provide leadership and mentorship to other data scientists in the area. A Bachelor's or Master's degree in a relevant field and 5+ years of experience in data science are required.

Missions

  • Prendre en charge la conception, la recherche, la construction et la livraison de produits de données, ainsi que la collaboration avec des équipes interfonctionnelles pour formuler et faire évoluer la stratégie de Pinterest dans le domaine des publicités.
  • Effectuer des analyses stratégiques approfondies pour répondre à des questions clés, évaluer l'impact global des changements dans un composant de l'écosystème publicitaire et identifier les domaines d'amélioration.
  • Diriger et encadrer le travail des scientifiques des données dans le même domaine, en démontrant un output de haute qualité et en fournissant des retours continus et honnêtes.

Profil recherché

- Bachelor’s/Master’s degree in a relevant field such as Data Science, or equivalent experience

- Strong fundamentals in statistics, experimentation

- Proven ability to apply scientific methods to solve real-world problems on web-scale data

- Proficiency in SQL/Hive/Python

- Domain knowledge in ecosystem, ads, or real-time-bidding

- 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data

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