Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Jul 24, 2026. Pinterest scores B on the Alion truth index.
Join Pinterest as a Senior Data Scientist in our Core organization. You will shape the future of our people-facing and business-facing products by utilizing your expertise in quantitative modeling, experimentation, and algorithms. Collaborate with cross-functional partners and influence our product development teams while introducing greater scientific rigor into our real-world products.
Missions
- Collaborate with cross-functional teams to address product and business challenges, leveraging expertise in quantitative modeling and experimentation.
- Develop best practices for instrumentation and experimentation, and communicate those to product engineering teams to enhance product development.
- Build and prototype analysis pipelines iteratively to provide insights at scale, advocating for changes where needed for product development.
Profil recherché
- Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields- Excellent communication skills and ability to explain learnings to both technical and non-technical partners
- 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)
- A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
- 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
- 5+ 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
- Bachelor’s degree in Computer Science, a related field or equivalent experience
- Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn

