As a Data Scientist in our Core organization you will shape the future of peoplefacing and businessfacing products we build at Pinterest. Your expertise in quantitative modeling experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of crossfunctional partners across Product Engineering Design Research Product Analytics Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners creators advertisers and merchants around the world.
What youll 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 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 crossfunctionally 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 were looking for:
- 2 years of experience analyzing data in a fastpaced datadriven environment with proven ability to apply scientific methods to solve realworld problems on webscale data
- Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning Statistical Modeling Forecasting Econometrics or other related fields
- Experience using machine learning and deep learning frameworks such as PyTorch TensorFlow or scikitlearn
- A scientifically rigorous approach to analysis and data and a welltuned sense of skepticism attention to detail and commitment to highquality resultsoriented output
- Ability 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 nontechnical partners
- A team player whos able to partner with crossfunctional leadership to quickly turn insights into actions
- Bachelors degree in a relevant field such as Computer Science or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
InOffice Requirement Statement:
- We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
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