About the role
Join our Delivery Data Science team to build smarter search, ranking, and recommendation systems. Make an impact on millions of users while solving complex machine learning challenges! 🚀
Main tasks and responsibilities:
Collaborating with cross-functional teams, including Data Analysts, Data Egineers, Product Managers, and Software Engineers, to gain a deep understanding of business needs and create end-to-end technical solutions for them.
Deploying and validating solutions for millions of users, enabling fast feedback and measurable added value to customers.
Rapidly deploying models to production environments using AWS and internal machine learning platforms, leveraging a toolkit that includes Python, Spark, Presto, Docker, SageMaker, and Airflow for efficient data processing and model deployment.
Initiating regular knowledge exchange with Data Scientists across all seniority levels, fostering a collaborative environment that promotes learning and innovation.
Solving real-world problems on a wide variety of tasks, such as ranking, textual search, recommendation, user clustering, pricing, textual improvement, knowledge extraction from images, and user clusterisation.
Applying the most advanced techniques, such as deep learning, gradient boosting, causal inference, mathematical optimization, dimensionality reduction, uplift modelling, and more.