Pinterest is seeking to address complex engineering challenges and enhance both people-facing and business-facing products by leveraging quantitative modeling, experimentation, and algorithms.
Requirements
- Extensive experience with quantitative approaches such as Machine Learning, Statistical Modeling, Forecasting, or Econometrics
- Hands-on experience with machine learning frameworks like PyTorch, TensorFlow, or scikit-learn
- Proficiency in manipulating large, complex datasets using SQL (or similar database languages) and scripting languages such as Python or R
- Proven ability to apply scientific methods to solve real-world problems on web-scale data
- Strong analytical skills with a scientifically rigorous approach, attention to detail, and a results-oriented mindset
- 4+ years of experience analyzing data in fast-paced, data-driven environments
- Bachelor’s degree in Computer Science, related field, or equivalent professional experience
Responsibilities
- Develop and establish best practices for instrumentation and experimentation, and communicate these to product engineering teams to support our mission of inspiring creativity
- Apply scientific rigor and statistical methods to address challenges in product creation, development, and enhancement, with an understanding of user behaviors
- Build and prototype analysis pipelines iteratively to provide scalable insights, ensuring comprehensive understanding of data structures and metrics
- Identify, analyze, and advocate for data-driven changes to improve product features and user experiences
- Collaborate with cross-functional teams including product managers, engineers, designers, and researchers to generate and communicate key insights
- Translate complex data analyses into clear reports and presentations that inform product decisions and strategies
- Stay updated with the latest developments in data science, machine learning, and analytics to continually enhance methodologies and tools
Other
- Excellent communication skills with the ability to clearly explain insights to both technical and non-technical audiences
- Ability to collaborate effectively with cross-functional teams and translate insights into actionable strategies
- Bachelor’s degree in Computer Science, related field, or equivalent professional experience
- Flexible remote work arrangements
- Comprehensive health, dental, and vision insurance plans
