About the Company
Pinterest is a visual discovery engine for finding ideas like recipes, home and style inspiration, and more. With billions of Pins, Pinterest is a catalog of ideas that inspires users to live a life they love. We are a global company dedicated to building a product that brings inspiration and discovery to people worldwide.
Job Description
As a Pinterest Knowledge Graph Associate with a Data focus, you will play a crucial role in enhancing and maintaining Pinterest’s core knowledge graph. Your work will directly impact the accuracy, relevance, and discoverability of content across the platform. You will be responsible for defining schemas, ingesting data, performing quality assurance, and analyzing graph data to identify opportunities for improvement and expansion. This role requires a strong analytical mindset, meticulous attention to detail, and a passion for structuring information in a meaningful way to improve user experience.
Key Responsibilities
- Design, implement, and maintain data models and schemas for the Pinterest Knowledge Graph.
- Ingest, integrate, and transform diverse datasets into graph structures.
- Perform rigorous data quality checks and resolve inconsistencies to ensure graph accuracy.
- Develop and execute SQL queries and graph queries (e.g., Cypher, SPARQL) for data analysis and validation.
- Collaborate with engineers, product managers, and content specialists to identify new data sources and improve existing graph representations.
- Monitor knowledge graph performance and health, providing regular reports and insights.
- Contribute to the development of tools and processes for knowledge graph management.
- Research and apply best practices in knowledge representation, semantic web technologies, and graph databases.
Required Skills
- Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
- 3+ years of experience in data analysis, data modeling, or knowledge representation.
- Proficiency in SQL and experience with at least one graph database (e.g., Neo4j, Amazon Neptune, GraphDB).
- Strong understanding of data structures, algorithms, and database design principles.
- Experience with data cleaning, transformation, and validation techniques.
- Excellent problem-solving skills and attention to detail.
- Ability to communicate complex technical information clearly and concisely.
Preferred Qualifications
- Master's degree or PhD in a related quantitative field.
- Experience with semantic web technologies (RDF, OWL) and linked data principles.
- Familiarity with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop).
- Prior experience working with large-scale knowledge graphs or ontologies.
- Understanding of machine learning concepts and their application to knowledge extraction or entity linking.
- Experience in social media or e-commerce domains.
Perks & Benefits
- Comprehensive medical, dental, and vision insurance.
- Generous paid time off and holidays.
- 401(k) retirement plan with company match.
- Flexible spending accounts.
- Parental leave.
- Employee assistance program.
- Professional development opportunities.
- Wellness programs and resources.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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