Data Scientist I

Overview

As a Data Scientist you will shape the future of people-facing and business-facing 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 cross-functional 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.

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 were looking for

1-3 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 data

Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning Statistical Modeling Forecasting Econometrics or other related fields

A scientifically rigorous approach to analysis and data and a well-tuned sense of skepticism attention to detail and commitment to high-quality results-oriented 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 non-technical partners

A team player whos able to partner with cross-functional leadership to quickly turn insights into actions

Bachelors or Masters degree in a relevant field such as Data Science or equivalent experience

Relocation

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

In-Office Requirement

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.

This role will need to be in the office for in-person collaboration 1-2 times per half and therefore can be situated anywhere in Ontario or British Columbia.

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Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Metadata

Employment Type : Full Time

Experience : years

Vacancy : 1 #J-18808-Ljbffr