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The Data Scientist position at Pinterest is integral to shaping both people-facing and business-facing products. In this role, you'll apply your quantitative modeling and algorithmic expertise to tackle complex engineering challenges. Collaborating with cross-functional teams across Product, Engineering, Design, Research, Product Analytics, and Data Engineering, your work will influence and elevate product development. The ultimate aim is to enhance the scientific rigor of products impacting millions of users, including pinners, creators, advertisers, and merchants worldwide.
As a Data Scientist, you'll be at the forefront of developing best practices for instrumentation and experimentation. Communicating these practices to product engineering teams will help drive Pinterest's mission to provide inspiration for a fulfilling life. You will bring scientific rigor and statistical methods to product creation, appreciating the behaviors of users. Building and iterating analysis pipelines to provide scalable insights, you'll gain deep knowledge of data structures and metrics, advocating necessary changes for product enhancements. Collaboration is key, and you will work closely with product managers, engineers, designers, and researchers to shape Pinterest's future experiences.
The role demands a solid background in data analysis within fast-paced, data-driven environments. You should have substantial experience solving analytical problems through quantitative approaches, especially in Machine Learning, Statistical Modeling, Forecasting, Econometrics, or related fields. Proficiency with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn is essential. A scientifically rigorous approach to data analysis, keen attention to detail, and commitment to producing high-quality, output-oriented results are crucial. The ability to handle large datasets with high dimensionality, fluency in SQL or other database languages, and a scripting language like Python or R, is required. Excellent communication skills are vital for conveying insights to both technical and non-technical partners, and you'll need to work effectively as a team player, partnering with cross-functional leaders to translate insights into action.
This position does not offer relocation assistance, and candidates are encouraged to visit Pinterest's PinFlex page to learn more about the working model. U.S-based applicants have a defined base salary range, which considers location, travel, relevant experience, and specific skills. Pinterest is committed to diversity, equity, and inclusion. All employment decisions are merit-based, and all qualified applicants will be considered regardless of race, color, national origin, religion, gender, sexual orientation, age, or any other legally protected characteristic. The company also respects laws concerning criminal histories in employment considerations.
This job offer was originally published on Jobicy
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