Pinterest · 2 days ago

Data Scientist

San Francisco, CA

Full-time

Onsite

Mid Level

$101K/yr - $209K/yr

4+ years exp

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Comp. & Benefits

Insider Connection @Pinterest

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help fulfill the mission of bringing 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 Pinterest users

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data AnalysisMachine LearningStatistical ModelingForecastingEconometricsPyTorchTensorFlowScikit-LearnSQLPythonRDatabase ManagementProblem-SolvingAttention to DetailCommunicationTeamwork

Required

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

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