Data Scientist

3 weeks ago


Toronto, Canada Pinterest Full time

What you’ll do:

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 loveBring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our PinnersBuild 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 developmentWork 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 we’re looking for

4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale dataExtensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fieldsExperience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learnA scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented outputAbility to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)Excellent communication skills and ability to explain learnings to both technical and non-technical partnersA team player who’s able to partner with cross-functional leadership to quickly turn insights into actions

Relocation Statement:

This position is not eligible for relocation assistance. Visit our page to learn more about our working model.

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