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Product Data Scientist: AI Shopping Agents (Remote) at Constructor. About Us. Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.. We're building the next generation of ecommerce, creating entirely new ways for shoppers to discover products. As an entrepreneurial Data Scientist on our Agent Products team, you’ll help shape AI-powered shopping agents - from intelligent search to personalized product assistance. Join us to define success metrics, drive product strategy, and reinvent how millions discover products online.. What You'll Do. . . Drive product strategy.  by uncovering actionable insights from user behavior and validating changes through A/B testing. . . Define, monitor, and visualize key performance indicators.  (KPIs) through dashboards for all levels of the company. . . Collaborate with cross-functional partners.  in engineering, product management, design, and user research. . . Build and maintain clean, reliable data tables.  to improve analytical efficiency and democratize data access for the entire team. . Who You Are. . You have . 2+ years of experience.  in data science or a similar analytical role, with a proven track record of thriving in fast-paced, consumer-focused environments. . A . proactive and autonomous self-starter. , you excel at navigating ambiguity and taking full ownership of complex projects from start to finish. . An . excellent communicator. , you can effectively translate business needs into technical requirements and vice versa. . Preferred Qualifications. . Previous experience as a data scientist in a . startup or e-commerce.  environment.. . . Expert-level SQL proficiency.  for complex data exploration and transformation.. . Hands-on experience with . Python and PySpark.  for data analysis.. . Experience with our data stack, including . Databricks, Redash (or similar tools like Looker), and other BI tooling. .. . Basic understanding of data pipeline development and ETL processes.. . Knowledge of OLAP technologies, particularly Cube or similar semantic layer tools.. . Ability to build and maintain data pipelines to power analytical applications.. . Experience with data orchestration tools (e.g., Airflow, Dagster, Prefect).. . Experience implementing data quality monitoring and testing frameworks.. . Company Location: Spain.