Data Scientist II

Pinterest Job Advertisements • New York, NY

6d • Remote

About The Position

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. Creating a career you love? It’s Possible.

Requirements

• Master’s degree (or its foreign degree equivalent) in Computer & Information Science, Data Science, or closely related quantitative discipline and one (1) year of experience in the job offered or in any occupation in related field.
• Python
• SQL
• Machine Learning
• A/B Testing
• TensorFlow
• PyTorch
• Jupiter Notebook
• Git
• Data Analytics
• Data Visualization
• Supervised and Unsupervised Learnings
• Data Pipelining
• Natural Language Processing (NLP)
• Reinforcement Learning
• Any suitable combination of education, training and experience is acceptable.

Responsibilities

• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love.
• Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners.
• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development.
• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level