Pinterest is looking to solve complex engineering challenges within their people-facing and business-facing products by leveraging data science expertise to improve product development and introduce scientific rigor.
Requirements
- 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
- 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)
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
Other
- 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
- 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
- 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
- Bachelor’s degree in Computer Science, a related field or equivalent experience
- This position is not eligible for relocation assistance.
- US based applicants only
