This page contains product affiliate links.
As a Data Scientist at Pinterest, you'll play a pivotal role in shaping the trajectory of the company’s products, both for end-users and businesses. Your role will involve utilizing quantitative modeling, experimentation, and advanced algorithms to tackle some of Pinterest’s most complex engineering challenges. This position entails working closely with a range of cross-functional teams across Product, Engineering, Design, Research, Product Analytics, Data Engineering, and more, aiming to enhance product development processes. Ultimately, your contributions will not only improve internal team performance but also bolster the scientific rigor of Pinterest's offerings to millions of international users, creators, advertisers, and merchants.
As part of your role, you will be responsible for developing and promoting best practices in instrumentation and experimentation. One of your primary objectives will be to fulfill Pinterest’s mission to bring inspiration to users worldwide by ensuring that product teams adhere to these best practices. You will integrate scientific rigor and statistical methods into product development processes, contributing substantially to product creation, modification, and improvement. This will necessitate a deep understanding of user behavior and data structures to build and prototype analysis pipelines that provide insights on a significant scale.
Collaboration is key in this role, as you will work with product managers, engineers, designers, and researchers across the organization to share insights and drive product innovation. Your contributions will be crucial in developing the next generation of experiences on Pinterest.
The ideal candidate should have over four years of experience analyzing data in a fast-paced, data-driven environment. They must have proven ability to apply scientific methods to solve complex problems involving large-scale web data. Extensive experience with analytical problem-solving using quantitative approaches in machine learning, statistical modeling, and related fields is essential. Familiarity with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn will be beneficial.
Moreover, a rigorous approach to analysis and a keen eye for detail are important traits. Proficiency in manipulating large datasets with complex structures, fluency in SQL or other database languages, and scripting capabilities in Python or R are necessary technical skills for this role. Effective communication skills to convey complex findings to both technical and non-technical stakeholders are crucial, along with the ability to work collaboratively with cross-functional leadership to implement insights swiftly.
This position does not offer relocation assistance and is open to US-based applicants only, with a salary range of $101,382 to $209,296 USD, based on a variety of factors including location, experience, and expertise. Besides the salary, there is potential eligibility for equity, further aligning your contributions with the company's success.
At Pinterest, we champion an equitable, inclusive, and inspiring workplace culture. As an equal opportunity employer, we make employment decisions based on merit, focusing on hiring the most qualified individuals for each job. We do not discriminate based on race, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, medical conditions, or any other criteria illegal under federal, state, or local laws. We also uphold legal requirements regarding applicants with criminal histories.
This job offer was originally published on Jobicy
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
