Data Scientist - Product Catalog Data

• Co-creating projects on each stage - from concept to productization - to deliver insights and models solving actual business problems
• Using a wide range of model modeling techniques, including gradient boosting, Bayesian methods, causal inference, optimization, deep learning, and Generative AI (LLMs, Agentic AI)
• Working hand-in-hand with our Data Engineers who support the heavy-lifting of data processing on GCP
• Working closely with Analysts, PMs, and Developers to ensure the solutions you build integrate seamlessly into broader initiatives
• Leveraging diverse data types, moving beyond tabular data to extract value from spatial data, natural language (NLP), images, and time series
• Taking part in implementations of both offline and online models
• Engaging in brainstorming sessions, active knowledge sharing, and continuous professional development

Key requirements:

• Hands-on Spark or PySpark experience with massive datasets
• MLOps and deployment mindset - practical experience building automated pipelines and deploying models into production
• Solid software engineering habits - Python, clean object-oriented code (classes, functions, unit tests)
• Strong Data Science foundations - deep understanding of statistics and machine learning, model selection, evaluation, sample size calculation
• Enthusiasm for GenAI and Agentic AI - theoretical and practical understanding of GenAI principles (prompting, validation), using coding assistants
• Great communication and business sense - turning business challenges into ML problems, explaining technical results to stakeholders
• Relevant background - degree in Mathematics, Physics, Computer Science, Economics, or equivalent hands-on experience in Data Science and Machine Learning

Nice to have:

• Experience with Apache Airflow for pipeline orchestration