Overview In this Data Scientist role, you will translate business needs into data-driven solutions and collaborate with cross-functional teams to advance production ML initiatives. You will explore state-of-the-art approaches, build robust models, and deploy solutions that create measurable business impact. The position fits within Lidl’s general digital hub, contributing to omnichannel and AI-enabled decision-making. You will work on diverse, real-world problems and share insights to drive strategy.
Compensaciones / Beneficios
hybrid remote-office work competitive salary health & accident insurance wellbeing voucher and sports benefits language lessons (German, English, Spanish) continuous learning and development programs
Responsabilidades
Gather requirements and translate them into actionable data science projects Explore and propose state-of-the-art technologies, methodologies, and models Develop and deploy production-ready data-driven solutions with the team Design, develop,
and deploy robust solutions into production Translate business needs into actionable data science solutions Apply state-of-the-art machine learning and deep learning approaches Communicate results clearly and identify new opportunities to create business impact through data
Requisitos principales
>5 years of professional experience in Data Science or related field 3+ years of hands-on experience with Deep Learning models Bachelor’s or Master’s degree in a quantitative field (Physics, CS, Math) Experience deploying ML solutions to real-world problems (not just experiments) Programming in Python and SQL; strong knowledge of Numpy, Pandas, Scipy, Scikit-learn, and DL frameworks (PyTorch or TensorFlow) Experience with Git, SQL, NoSQL, and Spark (PySpark); basic cloud/ETL exposure collaboration with technical and business stakeholders curiosity and proactive learning creative and critical thinking Python SQL Numpy
📌 Data Scientist - barcelona
🏢 Lidl Scrm
📍 Barcelona
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Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.