Data Scientist, Shopping at Pinterest

Data Scientist, Shopping

Pinterest, Toronto, ON, CA

Visual discovery destination

About Pinterest:

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

We’re looking for a Data Scientist to join the Shopping team with the goal of building a successful Shopping product at Pinterest. You’ll apply quantitative analysis, data mining and data visualization techniques to shape the strategy of the Shopping experience at Pinterest.

What you’ll do:

Design advanced experiments for Shopping product and Shopping monetization
Perform deep dive analysis to understand and optimize the key levers of our Shopping product team
Partner closely with Eng team to improve shopping optimization and recommendation systems
Design core metrics that serve as the North Stars for team efforts and model trade-off decisions across product areas
Work with product managers and engineers to design data products, prove their value by running experiments and release into production

What we’re looking for:

Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and Python or R
4+ years experience doing quantitative analysis or statistical modeling; strong experimentation expertise
Knowledgeable about best practices around data manipulation, building data pipelines, feature engineering and creating dashboards
Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams to quickly turn insights into actions
Excellent communication skills and ability to explain learnings to both technical and non-technical partners.
Experience in Shopping/ecommerce products will be preferred

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