Sebastian Perez Saaibi

Building the data products and data models that power the largest merchant-facing analytics platform on earth Craft Leader for Core Optimize, the team that owns, grows and evolves merchant-facing analytics in Shopify. [May 2020] Joined to lead a group of four data scientists and two data engineers. [Aug 2021] Grew that to a 45+ cross-functional group of Data Scientists, Data Engineers, and Machine Learning Engineers across three teams. [Dec 2021] Focused exclusively in leading the Data Science function for our three teams: Analyze, Leverage and Develop (18 DS+MLEs). [Shipped]: - In Context Analytics (Orders and Products): A way to visualize and understand the most important metrics for order fulfillment and inventory management tasks. - Notebooks: Orders, Products, Benchmarks and Inventory Exploratory Data Models, allow Plus Merchants a way to go deeper that ever before into their data. - Customer Cohort Reports: The ability to view the most important metrics of a merchant's buyer by cohort. - Merchant Similarity Scoring: Machine Learning Model, which uses differential privacy to score similarity across groups of merchants. - Product Categorization: Batch and real-time model that combines text and image embeddings to infer product categories for all merchants. - Driver Trees: Causal mapping of related metrics, which sets up ways to perform experimental design to identify predictive power of leading indicators of merchant success. [Team Blogposts]: - https://shopify.engineering/building-commerce-data-models-with-shopifyql - https://shopify.engineering/server-sent-events-data-streaming - https://shopify.engineering/shopify-commerce-data-querying-language-shopifyql - https://shopify.engineering/a-data-scientist-s-guide-to-measuring-product-success - https://shopify.engineering/using-rich-image-text-data-categorize-products - https://shopify.engineering/shopify-in-context-analytics - https://shopify.engineering/conducting-exploratory-data-analysis