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Build analytics and dashboards for e-commerce merchandisers to analyze shopping behavior and improve KPIs using Python, SQL, PySpark, and ClickHouse.
Backend engineer builds and maintains high-load, real-time ranking systems for an AI-first e-commerce search platform, using Python, cloud services, and MLOps tools.
Builds and maintains a customer-facing dashboard in React/TypeScript that interacts with Python/FastAPI backends to manage ecommerce marketing campaigns at scale.
Data Analyst improves e-commerce search visibility and personalization by analyzing SEO/GEO performance, building tracking foundations, and partnering with product teams to optimize external discoverability for Constructor.io's clients.
Senior Data Analyst at an e-commerce search and discovery platform, analyzing user behavior, designing A/B tests, defining metrics, and building dashboards using SQL and Python on large-scale datasets.
Senior ML Engineer builds and deploys search and recommendation models using transformers, LLMs, and multimodal approaches to optimize e-commerce discovery and business KPIs at scale.
About Us Constructor is the next-generation platform for search and discovery in e-commerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented…
The Senior Data Analyst will optimize retail media platform metrics by researching product hypotheses, building dashboards, and collaborating with cross-functional teams. The role leverages SQL, Python, and big data tools to drive product innovation in an e-commerce search and discovery environment.
Backend engineer builds and maintains Python services for an e-commerce experimentation platform, handling experiment assignment, logging, and reporting using FastAPI, PostgreSQL, and AWS.
is a distributed team hiring a backend-focused engineer for its Experiments platform. ¿Todo listo para enviar su solicitud? Por favor, lea la descripción al menos una vez antes de hacer clic en "Solicitar".…
Build Python services and data pipelines for A/B testing and experiment analytics, integrating with Spark/Databricks and collaborating with search/recommendations teams.
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