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    Contract-Data Scientist - Toronto, ON, Canada - Pinterest

    Pinterest
    Pinterest Toronto, ON, Canada

    6 days ago

    Default job background
    Full time
    Description
    Millions of people across the world come to Pinterest to find new ideas every day. Our mission is to help those people find their inspiration and create a life they love.

    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.

    Our new progressive work model is called PinFlex, a term that's uniquely Pinterest to describe our flexible approach to living and working.

    As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest.

    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.

    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
    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 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 scikit-learn
    ~ 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

    ~ Relocation Statement:

    ~ This position is not eligible for relocation assistance


    Our Commitment to Diversity:

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law.

    We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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