Job Description Summary Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its useful lifecycle. High agility to be able to work across various business domains. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.
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Job Description Sandoz is the integral leader in Biosimilar and Generic medicines, a segment of the healthcare industry that delivers 80% of the world’s medicines at 30% of the cost, touching the lives of more than 1 billion people across 100+ countries How will we achieve our ambition? We aim to continue to simplify structures, streamline processes and use smarter tools. We're aiming to reduce complexity and costs. This means faster decisions, clearer priorities and more time to focus on what matters most.
Your responsibilities will include:
- 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 scalabl
📌 Expert Data Science (Madrid)
🏢 ES14 (FCRS = ES014) Sandoz Farmacéutica
📍 Madrid
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