Senior Data Scientist — Production ML & Insights (Hybrid)

Sandoz International GmbH; Madrid; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible-hybrid careers

Descripción de la vacante

Sandoz is seeking an Expert Data Science professional to join the Finance Innovation and Operations Hub in Madrid. You will lead model development, apply ML/deep learning, and translate complex analytics into actionable business recommendations.

Bring 4–6 years of production ML experience, strong Python/SQL, and experience with Spark, Databricks, Airflow or MLflow. This role offers a flexible-hybrid work environment and the chance to impact access to affordable medicines.

Formación

• 4–6 years in data science or analytics roles, delivering models in production.
• Fluent English is a must.
• Exposure to big data tools and cloud platforms is desirable.

Responsabilidades

• Drives model development of complex solutions using ML/deep learning and advanced statistical methods; selects appropriate techniques for the question/problem
• Develops/improves data management techniques, algorithms, methods and quantitative approaches; extracts insight from structured and unstructured data
• Applies external research methodologies to business problems and proposes scalable approaches
• Produces actionable insights and communicates recommendations to stakeholders
• Reporting of technical complaints/adverse events within 24 hours (where applicable); distribution of marketing samples (where applicable)

Conocimientos

Python

SQL

ML/Forecasting

Spark/Dask

Airflow/MLflow

Stakeholder communication

Problem solving

English fluency

Herramientas

Databricks

Airflow

MLflow

Spark

Dask

Descripción del empleo

Sandoz is seeking an Expert Data Science professional to join the Finance Innovation and Operations Hub in Madrid. You will lead model development, apply ML/deep learning, and translate complex analytics into actionable business recommendations.

Bring 4–6 years of production ML experience, strong Python/SQL, and experience with Spark, Databricks, Airflow or MLflow. This role offers a flexible-hybrid work environment and the chance to impact access to affordable medicines.