About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. Build and grow a high performance team of data scientists that are thought partners to the team that builds Ads Experience & Formats. Use business acumen with a deep understanding of key business metrics and the ability to leverage data insights to drive growth and achieve tangible business outcomes. Work with product and engineering partners help identify and answer important “why” questions. Lead the team to structure ambiguous business challenges into actionable plans. Ensure that the team produces consistently trustworthy and high-quality technical outputs that influence the business. Drive data-driven decision-making aligned with the organization's strategic objectives. Communicate complex analytical findings and insights to both technical and non-technical stakeholders in a clear and concise manner. Full-time telecommuting is an option. Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Data Science, or closely related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field, OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Data Science or closely related quantitative discipline and five (5) years of progressively responsible experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) SQL; (2) Python; (3) R; (4) Behavior Modeling; (5) Operations Research; (6) Survey Methodologies; (7) Data Visualization; (8) Git; (9) Statistically modeling; (10) Forecasting; (11) Machine learning; (12) Data Analytics; (13) tech team management (2 years). Any suitable combination of education, training and experience is acceptable. Full-time telecommuting is an option. Salary: $283,250.00 - $339,078.00 This position is not available for relocation assistance. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $283,250—$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Know Your Rights and Pinterest Policy for more information regarding U.S. roles. If you require a medical or religious accommodation during the job application process, please complete this form for support.

• Build and own end-to-end pricing systems—from experimentation to production • Lead high-impact pricing experiments and apply advanced methods to uncover drivers of conversion, retention, and profitability • Act as a go-to expert in pricing and demand modeling, influencing strategy across various departments • Drive cross-functional initiatives from idea to launch, partnering with engineering • Turn complex analyses into clear insights that guide leadership decisions • Mentor teammates to improve experimentation and technical rigor

• Drive the design, development, and deployment of machine learning models, with an emphasis on the Recommender System, ensuring scalability and robustness for handling large datasets and multiple clients. • Collaborate with data engineers and ML engineers to implement MLOps best practices, ensuring seamless integration of models into production pipelines, including both batch and real-time predictions, automated model retraining, versioning, and monitoring. • Oversee the operationalization of models, including real-time predictions, batch processing, and retraining pipelines, especially for the Recommender System. • Monitor model performance post-deployment, implementing metrics and alerts to track model drift, accuracy degradation, and data changes. • Build and maintain continuous integration (CI) and continuous deployment (CD) pipelines to ensure models are rapidly and reliably updated in production. • Ensure the model serving infrastructure is optimized for performance, resource utilization, and cost efficiency, leveraging GCP. • Work closely with product managers and stakeholders to define and refine ML model objectives, translating business needs into model requirements. • Implement automated testing, validation, and documentation of models to ensure they meet performance and accuracy standards before deployment. • Act as a key technical advisor on AI and ML initiatives, working with the team to share best practices in AI, MLOps, and model deployment, while contributing to the AI-powered decision-making systems to integrate customer data with external factors (e.g., weather, location, and time of day). • Use Large Language Models (LLMs), such as Gemini, to enhance and develop AI-driven features within our platform. • Work collaboratively with cross-functional teams, ensuring teamwork and communication are key aspects of problem-solving and project success.

• Design and implement machine learning models and statistical analyses to support WJP research initiatives • Lead technical infrastructure modernization including containerization and cloud deployment strategies • Develop and maintain agentic AI systems and LLM-powered tools for data analysis workflows • Provide technical mentorship to other team members on advanced analytics techniques • Collaborate with research teams to translate complex data questions into analytical solutions